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Microsoft AI Product Manager Course 5 - Product Launch and Post-Launch Management" — Transcript

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0:06Launching a product is the culmination
0:08of significant effort. Whether it's a
0:11new type of enterprise software or a
0:13cloud service, product launch is more
0:15than just introducing the product to the
0:17market. It's about generating
0:19excitement, targeting the right business
0:21customers, and ensuring a smooth entry
0:24to build a foundation for success.
0:27This video explores the essentials of a
0:29successful product launch using an
0:31integrated business communication tool
0:33as an example. By the end of this video,
0:36you'll be able to explain the essentials
0:38of a successful product launch and
0:40describe how to create a buzz, reach the
0:43right customers, and ensure a smooth
0:45roll out.
0:47A wellexecuted launch significantly
0:49influences market acceptance by
0:51establishing awareness, building
0:54anticipation, and driving initial
0:56adoption, setting the stage for industry
0:58integration. A misstep, however, can
1:01lead to missed opportunities and
1:03difficulty gaining traction. Therefore,
1:06a strategic approach is crucial.
1:09Let's explore the primary elements of a
1:11successful product launch. creating
1:14buzz, reaching the right business
1:16customers, and ensuring a smooth roll
1:18out.
1:20Generating pre-launch buzz and
1:22anticipation within business communities
1:24is vital. This involves building
1:27awareness and sparking interest through
1:28a structured pre-launch marketing
1:30strategy for enterprise software. This
1:34can include targeted webinars, white
1:36papers, and case studies in relevant
1:39industry forums, highlighting pain
1:41points the tool resolves, and partnering
1:43with experts to build credibility.
1:46Another vital factor is reaching the
1:48right customers. It's not just about
1:51wide visibility, but identifying
1:53businesses most likely to gain value
1:55from your product. More specifically,
1:58understanding your ideal client profile
2:01from industry and size to specific
2:03challenges is essential. This insight
2:06allows you to refine your marketing and
2:08communication strategy to effectively
2:11engage your target group. Consider a
2:13scenario where you're launching a
2:15business communication tool. The ideal
2:18customers might be small to medium-sized
2:20enterprises looking to streamline remote
2:23team interactions. Targeted digital
2:25marketing on platforms like LinkedIn,
2:28highlighting integration with existing
2:30solutions can be effective and avoids
2:33expending resources on unlikely
2:35beneficiaries which minimizes wasted
2:37effort. Lastly, ensuring a smooth
2:40rollout is key. This means having your
2:43product available upon launch with a
2:45prepared support team to address
2:47inquiries and ensuring your digital
2:49infrastructure can handle increased
2:51traffic. Monitoring the launch in real
2:54time allows for swift adjustments based
2:56on customer feedback.
2:59For a communication tool integrating
3:01with Microsoft Teams, ensure immediate
3:03download or subscription, comprehensive
3:06support documentation, and an active
3:08tech support team. Monitor feedback and
3:11early reviews for valuable insights.
3:14Now, beyond those core principles of
3:16iterative design, there are definitely
3:18other factors that play a big role in a
3:21successful launch.
3:23Clear messaging and positioning are
3:26vital to communicate your product's
3:27unique value proposition and
3:29differentiation.
3:31Another important piece of the puzzle is
3:33strong branding. Building a recognizable
3:36and strong brand helps you gain
3:38recognition and build trust, especially
3:40with potential business clients.
3:43Furthermore, don't underestimate the
3:45power of compelling visuals and
3:47demonstrations. Effectively showcasing
3:50what your product can do and its
3:52advantages through visuals can be really
3:54impactful.
3:55Then there's the value of social proof
3:57and testimonials. When early clients or
4:00industry leaders share positive
4:02experiences, it boosts your product's
4:04credibility and encourages others to
4:06take a closer look. Finally, it's
4:10crucial to embrace datadriven
4:12decisionmaking. Using metrics like
4:14engagement rates and customer feedback,
4:16helps track success, and inform
4:18strategic adjustments.
4:20The success of a launch extends beyond
4:23just the initial entry into the market.
4:25Maintaining momentum by creating buzz,
4:28targeting the right audience, and
4:30executing a smooth roll out can set your
4:32product up for sustained success.
4:35Remember, detailed planning, clear
4:38communication, and a customer focused
4:40approach are key. By concentrating on
4:43these essentials, you position yourself
4:45to confidently navigate your product
4:47launch, potentially achieving
4:49outstanding results in the market.
4:52[Music]
5:02Ever wondered how tech products like
5:04your smart thermostat or voice assistant
5:07make it from a brilliant idea to your
5:09living room? Well, it's all thanks to a
5:11carefully planned product launch.
5:14>> Okay, team. We've got this amazing smart
5:16home energy management system ready to
5:18go. But how do we make sure it's a hit?
5:21Time to create a winning launch plan.
5:24>> In this video, you'll explore the
5:26typical phases of a product launch
5:28timeline, highlighting key milestones
5:30and dependencies. By the end of the
5:32video, you'll also be able to outline
5:35the key stages of a product launch and
5:37understand their importance in ensuring
5:39a successful product release. Imagine
5:42your Priya, the product manager for that
5:44smart home energy management system.
5:47Your first step, planning. Here you lay
5:51the foundation for success. Define your
5:53product vision, target audience, and key
5:56features. Conduct market research to
5:59ensure your product meets a need and
6:01stands out. Once you have a solid plan
6:03in place, it's time for development.
6:06Collaborate with engineers to design,
6:08build, and test your product. Focus on
6:11user experience, reliability, and ensure
6:14it meets all safety and regulatory
6:16standards. With a well-developed product
6:18in hand, you're ready for the goto
6:21market phase. This is where you'll
6:23finalize marketing and sales strategies,
6:25craft compelling messaging that
6:27resonates with your target audience,
6:29train your sales team, and ensure
6:31logistical aspects are in place for a
6:33smooth launch.
6:35>> We need to build excitement. Let's start
6:38with a teaser campaign on social media
6:40and get some tech influencers on board.
6:43>> Next up, it's launch day. This is your
6:46big moment. You'll host a press event.
6:48Make sure the product is available
6:50online and in stores and watch those
6:52sales numbers start rolling in. But the
6:55work doesn't stop there. Post launch is
6:58all about keeping the momentum going and
7:00ensuring long-term success.
7:03>> Looks like users love the energy saving
7:05tips. Let's add more personalized
7:07recommendations in the next update.
7:09Post-launch also involves gathering and
7:12analyzing customer feedback, releasing
7:15updates, and constantly monitoring the
7:17market and competition. Remember, a well
7:21ststructured launch timeline isn't just
7:23a schedule. It's your proactive plan to
7:25reduce avoidable risks and set your
7:27product up for the best possible launch.
7:30Each phase built on the previous one.
7:32So, careful planning is crucial for
7:34maximizing your chances of success. But
7:37when done right, a successful launch can
7:40propel your product to the forefront of
7:42the market, setting a new standard for
7:44your competitors. So there you have it,
7:47the launch timeline, your road map to
7:50product success. Now go out there and
7:53make your launch a memorable one. And
7:55remember, every successful product
7:57starts with a wellplanned launch. Happy
8:00launching.
8:01[Music]
8:08Welcome to this video on how to use
8:10Microsoft Project to plan, track, and
8:13communicate product updates and
8:14enhancements to stakeholders. Today,
8:17I'll walk you through how Microsoft
8:19Project can help you manage product
8:21updates efficiently, ensuring clear
8:23communication with your stakeholders,
8:25and seamless execution of updates. By
8:28the end of this video, you'll understand
8:30how to set up a project in Microsoft
8:32Project, assign tasks, track progress,
8:36and use the tools reporting features to
8:39keep everyone aligned on your product's
8:41status. Let's begin by opening Microsoft
8:44Project. Microsoft Project is a
8:47comprehensive tool designed for
8:49planning, scheduling, and tracking the
8:52progress of projects. We'll use it to
8:54manage a product update by breaking down
8:57tasks, assigning ownership, setting
8:59deadlines, and tracking progress in real
9:02time. Step one, setting up a project for
9:05product updates. The first step is to
9:08create a new project specifically for
9:10your product updates. Click on blank
9:13project to get started. Name the project
9:16product update plan and make sure to
9:19specify the start date for your project.
9:21The start date could coincide with the
9:23beginning of your product development
9:25cycle or the start of a new sprint.
9:28Next, create phases for the product
9:30update process, such as planning, where
9:34tasks related to gathering requirements
9:36and defining updates are organized.
9:39Development for tracking the work of
9:41your engineering or design teams.
9:44Testing to manage quality assurance and
9:47user acceptance testing. UAT launch for
9:51the release of product updates to
9:53customers. Organizing your project by
9:56phases helps you keep a clear view of
9:58how each stage progresses over time.
10:01Step two, adding tasks and setting
10:03dependencies.
10:05Once the project structure is in place,
10:07we'll start by adding tasks for each
10:09phase. For example, in the planning
10:12phase, create a task called define
10:14product update requirements.
10:17For the development phase, add tasks
10:19like develop feature X and implement
10:22design enhancements.
10:24Each task should have a clear
10:26description, start date, and end date.
10:29In Microsoft Project, you can assign
10:31task dependencies, meaning some tasks
10:34can't start until another one is
10:36complete. For example, testing feature X
10:39can't begin until develop feature X is
10:42completed. To do this, select the task
10:44and link it to the dependent task using
10:46the predecessors feature in Microsoft
10:48Project. This helps create a logical
10:51sequence of work, ensuring no task is
10:54started prematurely.
10:56Step three, assigning resources and
10:58owners. Now that tasks are created and
11:01linked, it's time to assign resources to
11:03each task. Resources in Microsoft
11:06Project can be team members,
11:08contractors, or even tools required for
11:11task completion.
11:12Click on the resource tab. Then select
11:15resource sheet under the view selector.
11:17Add the names of the resources on the
11:19sheet using development team, QA team,
11:22and product team for this project. Use
11:25the view drop-down to select Gant chart.
11:28To get back to the task list, then
11:30select the resource in the resource name
11:32column to assign each task. For example,
11:36assign develop feature X to the
11:38development team and testing feature X
11:41to the QA team. This gives clear
11:43ownership of tasks and ensures that
11:45everyone knows their responsibilities
11:47within the timeline. Step four, using
11:51the Gant chart to visualize progress.
11:54One of the most powerful features of
11:55Microsoft Project is its Gant chart
11:58view. The Gant chart provides a visual
12:00representation of your project timeline,
12:03showing the duration of each task,
12:05dependencies, and key milestones. To
12:08view the Gant chart, click on the Gant
12:10chart tab in the toolbar. You'll see
12:12tasks as horizontal bars with the length
12:15of each bar representing the task
12:18duration. As tasks are completed or
12:21updated, the Gant chart automatically
12:23adjusts to reflect any changes in the
12:25schedule. For example, if the develop
12:28feature X task is delayed, the Gant
12:31chart will automatically push back the
12:33testing feature X task, ensuring that
12:36your schedule stays aligned. Step five,
12:39tracking progress and milestones.
12:42Microsoft Project makes it easy to track
12:44progress on each task. As tasks move
12:47through their life cycle, you can update
12:49the percentage completed for each one.
12:52To do this, simply select the task and
12:54update its completion status in the task
12:56information panel. You can also track
12:59milestones in Microsoft Project. A
13:02milestone is a significant checkpoint or
13:05event in the project life cycle. For
13:07example, you can set a milestone for the
13:10development complete or the start of
13:12testing. Milestones are represented as
13:14diamonds on the Gant chart and can be
13:16used to track the project's major
13:18achievements.
13:20Step six, communicating updates to
13:23stakeholders. Keeping stakeholders
13:25informed is critical to the success of
13:27product updates. Microsoft Project
13:30allows you to generate reports and share
13:32timelines easily. To share progress with
13:35stakeholders, go to the report tab and
13:38select the type of report you need, such
13:40as critical tasks or work overview.
13:43These reports provide a high-level
13:45summary of the project's current status,
13:47highlighting which tasks are on track,
13:50behind schedule, or completed. You can
13:53export the report as a PDF or share it
13:55directly through email or project
13:58management systems. Additionally, you
14:00can share the Gant chart view with
14:02stakeholders to give them a visual
14:04update on project progress and
14:06timelines. This helps align teams and
14:09ensures that everyone knows the state of
14:11the product update process. Conclusion:
14:15Microsoft Project is an invaluable tool
14:17for managing product updates, allowing
14:20you to plan, track, and communicate
14:22efficiently. By using features like task
14:25dependencies, Gant charts, and real-time
14:28reporting, you can ensure that your
14:30product updates are executed on time and
14:33that stakeholders remain informed
14:35throughout the process. Imagine
14:42[Music]
14:44you are a product manager planning a
14:46product launch. Creating a clear
14:49timeline is essential for success
14:51because it provides a road map for the
14:53entire product launch, ensuring tasks
14:56are completed in the correct order and
14:58deadlines are met. This video
15:01demonstration will show you how to use
15:03Microsoft Project to build a detailed
15:06launch timeline, including milestones,
15:08dependencies, and resource allocation.
15:12To do this, you will continue working on
15:14the project plan that was created in
15:16using Microsoft launch planning tools.
15:19You will begin by focusing on the Gant
15:21chart, which is a primary view for
15:24visualizing the project schedule. You
15:26can see a basic timeline for the project
15:29already displayed here. This timeline
15:32provides a visual representation of the
15:34project's key phases and milestones. You
15:38can use it to understand the overall
15:40project flow. You can customize the
15:43appearance of the timeline to highlight
15:45important phases or milestones.
15:48For example, you can change the color of
15:50task bars to represent different project
15:53phases. In Microsoft Project, you can
15:56mark significant events as milestones.
15:59These are important because they
16:01identify key achievements and help track
16:04progress towards project goals. To
16:06create a milestone for completing
16:08product development, rightclick on the
16:11appropriate point in the timeline for
16:13completing product development and
16:15select add milestone. type product
16:18development complete as the milestone
16:20name. You can further customize the
16:23timeline by adjusting the time scale.
16:25This allows you to view the project
16:27schedule at different levels of detail
16:29such as weeks, months, or quarters.
16:32Another important aspect of project
16:34timelines is dependencies. Dependencies
16:37show the relationships between tasks,
16:40indicating which tasks must be completed
16:42before others can begin. Different types
16:45of dependencies exist such as finish to
16:48start, start to start, finish to finish,
16:51and start to finish. Finish to start FS
16:54means a task cannot begin until its
16:57predecessor finishes. For example,
16:59product development cannot start until
17:02market research finishes. This is the
17:04most common type of dependency. Start to
17:07start SS means a task cannot begin until
17:11its predecessor starts. If you were
17:14running a software project, testing
17:16could not start until development has
17:18started. But the two tasks can run in
17:21parallel after that. So the moment
17:24development begins, testers can start
17:26setting up test cases or running initial
17:29checks.
17:30Finish to finish FF means a task cannot
17:34finish until its predecessor finishes.
17:36For example, in a software deployment,
17:38user training can't be completed until
17:40the software installation is completed,
17:43but training can start earlier using
17:46simulations or test environments and
17:48wrap up only once users are trained on
17:51the actual system. Start to finish SF
17:54means a task cannot finish until its
17:57predecessor starts. If a new inventory
18:00system was being implemented, you could
18:02not shut down the old inventory system
18:04until the new one has started. Start to
18:07finish dependencies are rarely used. To
18:10identify potential bottlenecks or
18:12overallocation of resources, click on
18:14resource usage. To illustrate resource
18:18allocation issues, assign team A, which
18:20is currently assigned to the marketing
18:22campaign, to also work on the launch
18:25event, which occurs during the marketing
18:27campaign. This will create a resource
18:30conflict.
18:32Team A is now overallocated since they
18:35are assigned to more work than they have
18:37capacity for during the overlapping time
18:40of the marketing campaign and launch
18:42event. To resolve this conflict, you
18:45could adjust the schedule or reassign
18:47resources. In this situation, you know
18:50that team A will only be working on the
18:52launch event task during the 2 days. So,
18:55you will not make any changes. Microsoft
18:59Project provides various tools to create
19:01a detailed and effective launch
19:03timeline, ensuring everyone involved has
19:06a clear understanding of the project's
19:08schedule, dependencies, and resource
19:11allocation.
19:12[Music]
19:22Ever wondered how those amazing products
19:24you love make their way into your hands?
19:27It's like building a bridge. Each team
19:29has a crucial role to play, and without
19:32everyone working together, that bridge
19:34to success might just crumble.
19:37In this video, you'll explore the art of
19:39crossf functional collaboration and how
19:42it paves the way for successful product
19:44launches. You'll also learn strategies
19:46for building strong connections between
19:48teams, ensuring your product's journey
19:51from idea to market is as effective as
19:53possible. Meet Maria, a passionate
19:56product manager with a groundbreaking
19:58idea for a new fitness tracker. Imagine
20:02a tracker that not only monitors your
20:04steps, but also analyzes your sleep
20:06patterns and provides personalized
20:08fitness recommendations. Maria presents
20:11her vision to the engineers, but she
20:13notices some furough brows.
20:15>> To make this happen, we'll need to
20:17integrate advanced sleep tracking
20:19sensors and develop sophisticated
20:21algorithms for personalized fitness
20:23plans. It's a challenge, but I'm
20:26confident we have the talent to pull it
20:28off. Maria speaks the engineer's
20:30language, outlining the technical
20:32requirements and expressing her
20:34confidence in their abilities.
20:37This tracker is perfect for busy
20:38professionals who want to stay fit
20:40without sacrificing their hectic
20:42schedules. We can emphasize its sleek
20:44design and user-friendly interface in
20:46our marketing campaigns.
20:49>> Maria then meets with the marketing
20:50team, painting a vivid picture of the
20:52target audience and the product's unique
20:55value proposition. I'd love to hear your
20:57ideas on how we can best position this
21:00product in the market. Let's brainstorm
21:02some catchy slogans and create
21:04eye-catching visuals that showcase its
21:06features.
21:07>> Maria actively involves the marketing
21:09team, valuing their expertise and
21:12fostering a sense of shared ownership.
21:14>> I believe in this product and I know
21:16you'll do an amazing job representing it
21:19to our customers.
21:21Finally, Maria briefs the sales team,
21:24equipping them with the knowledge they
21:25need to close deals.
21:27>> Here's a breakdown of the tracker's key
21:29features and benefits along with some
21:31compelling customer testimonials.
21:34Remember, this product isn't just about
21:36tracking steps. It's about empowering
21:38people to live healthier lives.
21:41>> Maria ensures the sales team is
21:43wellprepared, providing them with the
21:45tools and motivation to succeed. Thanks
21:48to Maria's dedication to cross-f
21:50functional collaboration, the product
21:52launch is a resounding success. Her
21:55ability to unite the teams behind a
21:58shared vision led to a product that
22:00exceeded expectations.
22:02>> This wouldn't have been possible without
22:04the incredible teamwork and
22:05collaboration of everyone involved.
22:07Together, we created something truly
22:10special.
22:11>> Remember, building bridges isn't just
22:13about connecting teams. It's about
22:15fostering a culture of collaboration,
22:17communication, and mutual respect. By
22:20embracing crossf functional
22:22collaboration, you can maximize the
22:24impact of your product and achieve
22:26remarkable results. So go out there,
22:29start building those bridges.
22:32[Music]
22:42In today's fast-paced business world,
22:44collaboration is key. But all too often,
22:47companies struggle with poor
22:48communication and coordination between
22:50departments. This leads to missed
22:52opportunities and delays. Breaking down
22:54these barriers or silos is crucial for
22:57success. In this video, you'll explore
22:59the top three tips for fostering open
23:01communication and collaboration between
23:03different departments involved in the
23:05product launch process. You'll also
23:07learn how to break down those pesky
23:09silos and build strong connections that
23:11lead to successful launches. Imagine a
23:14product launch as a symphony. Each
23:16department, like a section of the
23:17orchestra, plays a vital role. But what
23:20if they're all playing different tunes?
23:22Chaos. That's what that's what happens
23:25when departments operate in silos.
23:27Marketing is launching campaigns.
23:29Engineering's fixing bugs and sales is
23:31in the dark. It's a recipe for disaster.
23:34>> This is incredibly stressful. We're
23:37launching next week and things are
23:38feeling chaotic. Meet Sarah, our product
23:41manager. She's got a big launch coming
23:44up, but her teams are struggling.
23:46Determined, Sarah researches best
23:48practices. She discovers three effective
23:51tips. Tip number one, establish a shared
23:55vision. Ensure everyone understands the
23:57product's goals and target audience.
24:00Think of it like the road trip. If
24:02everyone has a different destination,
24:04you'll end up lost. Tip number two,
24:07foster open and transparent
24:09communication. Encourage crossf
24:11functional meetings and shared channels.
24:13Make sure everyone has the information
24:15they need. Remember the game of
24:18telephone. The message always got
24:20distorted by the end. That's what
24:22happens when communication breaks down.
24:24Tip number three, celebrate successes
24:27and learn from failures together.
24:30Recognize and reward collaborative
24:32efforts. When things don't go as
24:34planned, hold constructive reviews to
24:36identify improvements. A lunch is a team
24:39effort. When everyone feels valued, they
24:42go the extra mile.
24:44>> Sarah's efforts paid off.
24:48>> And then came launch day.
24:50>> We did it. This was our smoothest launch
24:53ever. All thanks to breaking down those
24:55silos.
24:57>> So remember, breaking down silos builds
25:00bridges and leads to successful
25:01launches. By encouraging open
25:04communication, a shared vision, and
25:06celebrating successes, you create a
25:08collaborative environment where everyone
25:09thrives. Now go out there and build some
25:12bridges.
25:13[Music]
25:16Imagine
25:18[Music]
25:21you are a product manager coordinating a
25:23complex product launch. Effective
25:26communication and collaboration are
25:28essential for success. This
25:30demonstration will show you how to use
25:32Microsoft Teams to facilitate this
25:35process among cross-f functional teams.
25:38You will begin with the general channel.
25:40This channel is often used for broad
25:42announcements and projectwide updates.
25:45You can use the channels you've created
25:47such as marketing, development, and
25:50documentation to facilitate
25:52communication within specific teams to
25:55communicate with specific team members.
25:57You can use at mentions. This ensures
26:00that the right people are notified and
26:02engaged in the conversation. Type at and
26:05the username to use this feature. In
26:08Microsoft Teams, you can also add
26:10guests. Guests are users who are
26:13external to your organization, such as
26:16vendors, partners, or consultants. You
26:19can add them to a team to allow them to
26:21collaborate on specific projects or
26:23tasks. To do this, click on the ellipses
26:26more options menu next to the team name.
26:29Select add member. Enter the guest email
26:32address. Click add. After sharing
26:35important information in a channel, you
26:37can pin messages. Pinned messages are
26:40used to highlight key information that
26:42team members need to access quickly and
26:44easily. Pinned messages remain at the
26:47top of the channel for easy access,
26:50ensuring that important information like
26:53deadlines or key documents is always
26:56visible. You can also unpin the messages
26:59as relevant. To avoid information
27:02overload while staying informed, you can
27:04customize your notification settings.
27:07Teams allows you to control the types
27:09and frequency of notifications you
27:11receive. You can also use the activity
27:14feed to track mentions, replies, and
27:16updates relevant to you, ensuring you
27:19don't miss important information. Teams
27:22allows you to share files directly
27:24within the channels. This provides a
27:26central location for project related
27:28documents and makes it easy for team
27:31members to access them. When
27:33collaborating on a shared file like the
27:36launchpan.x,
27:38you can also add the files directly to
27:40the channel. This ensures that everyone
27:43is able to access it without scrolling
27:45messages and that no work is lost.
27:49You can also integrate other Microsoft
27:51tools into teams. This allows you to
27:54share data and collaborate on
27:55spreadsheets directly within the team's
27:58workspace.
27:59Teams facilitates real-time
28:01communication through features like chat
28:03and meetings. You can use these to
28:06quickly address questions, resolve
28:08issues, and coordinate activities. Teams
28:11can be used for video conferencing. You
28:13can conduct virtual meetings with team
28:15members, stakeholders, or external
28:18partners. You can share your screen
28:20during these meetings, for example, to
28:22present a document or a presentation.
28:25Teams also allows you to record
28:27meetings. Recording controls allow you
28:30to start, pause, and stop the recording,
28:32ensuring that you can capture important
28:34discussions and decisions. You can also
28:38add integrate applications directly in
28:40Microsoft Teams to boost productivity
28:42and support team management. To schedule
28:45future meetings, you can schedule them
28:47directly within a channel. This makes it
28:50easy for all channel members to see and
28:52join the meeting. You can schedule a
28:55meeting by clicking the meet button in a
28:57channel and selecting schedule a
28:59meeting. By using Microsoft Teams,
29:02product managers can effectively
29:04facilitate communication and
29:06collaboration among crossf functional
29:09teams, ensuring everyone is aligned and
29:12working towards a successful product
29:13launch.
29:15[Music]
29:24Launching a new product is a challenging
29:26undertaking that requires the combined
29:29efforts of multiple teams. From
29:32engineering and design to marketing and
29:34sales, each team plays a critical role
29:36in the success of the launch. But what
29:39happens when these teams aren't aligned?
29:41Working in silos or facing communication
29:44breakdowns? That's where effective
29:46collaboration becomes the key
29:48ingredient. When teams work together
29:50seamlessly, sharing information,
29:52aligning goals, and supporting each
29:54other, it paves the way for a smooth and
29:57successful product launch. By the end of
30:00this video, you'll be able to explain
30:02the key strategies for fostering
30:04effective collaboration between teams
30:06and how this contributes to a successful
30:08product launch. Let's meet Robert, a
30:11product manager at a tech startup. He's
30:14leading the launch of a new productivity
30:16app, but things are a bit disorganized.
30:19The design team is working on one
30:21version of the app while the developers
30:23are building something completely
30:25different, and marketing has no idea
30:27what features to promote. It feels like
30:29everyone's working in their own bubble.
30:32It sounds like Robert's teams need to
30:34break down those silos and start working
30:36together as a unified force. First,
30:39Robert sets up regular cross team
30:41meetings, creating a dedicated space for
30:44open communication and shared updates.
30:47He collaborates with the team to
30:48aligning on project requirements and
30:51then collectively determines realistic
30:53deliverables and timelines. And most
30:55importantly, Robert fosters a culture of
30:58mutual respect and support, encouraging
31:01teams to celebrate each other's wins and
31:03learn from any setbacks. As
31:05collaboration improves, the team starts
31:08to function as a cohesive unit. The
31:10design and development teams align their
31:13efforts. Marketing creates a compelling
31:15message and the launch day arrives with
31:18everything in perfect order. By
31:20encouraging collaboration and teamwork,
31:22we transform individual efforts into a
31:24unified force. The launch was a success
31:27and it wouldn't have been possible
31:29without everyone working together.
31:31>> Remember, launching a product isn't a
31:33solo endeavor. It's a team effort where
31:36every member plays a vital role. When
31:38teams are united, they can achieve
31:40remarkable things.
31:42[Music]
31:52Imagine launching a new product into a
31:54crowded marketplace. It's like trying to
31:56be heard in a room full of people all
31:58talking at the same time. Without the
32:00right strategy, your message risks
32:02getting lost in the noise.
32:04In this video, you'll explore the
32:06essential roles of marketing and
32:08communication in building anticipation
32:10and driving demand for your product
32:12launch. Meet Anna, a product manager
32:15bursting with excitement about her
32:17upcoming product launch. She's poured
32:19her heart and soul into creating
32:20something special, but there's a
32:22challenge the world doesn't know about
32:24it yet. I've built a product I believe
32:26in, but how do I connect with the people
32:28who need it? It's like having a solution
32:30without a map to guide people to it.
32:34Anya's challenge is a common one. Even
32:36the most innovative products need a
32:38strategic marketing and communication
32:39plan to reach their full potential.
32:42Think of marketing and communication as
32:43your megaphone. Your way to turn up the
32:45volume on your product launch. It's
32:47about broadcasting your message,
32:49capturing attention, and ultimately
32:51inspiring action. Every successful
32:53product launch starts with a clear and
32:55captivating message. Develop a story
32:57that resonates with your target
32:59audience, highlighting the problem your
33:00product solves and the positive change
33:02it brings. Selecting the most effective
33:05communication channels is essential for
33:07businessto business marketing success.
33:09Content marketing, webinars, and press
33:11releases. Each channel provides a unique
33:13avenue to connect with specific segments
33:15of your target audience and timing. It's
33:18the heartbeat of your launch. Start
33:20early building anticipation with teasers
33:22and sneak peeks. As launch day nears,
33:25accelerate your marketing efforts,
33:27generating a buzz that keeps growing
33:28louder.
33:31Remember, successful product launches
33:33aren't accidents. They're the result of
33:35meticulous planning, effective
33:37communication, and a passion for
33:38connecting with your audience. By
33:40harnessing the power of marketing and
33:42communication, I was able to build a
33:45bridge to my audience, spark their
33:47interest, and ultimately drive demand
33:49for my product.
33:52So, as you prepare for your next product
33:54launch, remember it's not just about
33:56having a great product. It's about
33:59creating connections, telling a
34:00compelling story, and strategically
34:02timing your efforts to achieve a launch
34:04that truly resonates.
34:08[Music]
34:15Welcome to this video on how to create
34:17eye-catching and sharable content across
34:20social media platforms to generate buzz
34:23and excitement for your product launch.
34:25I'm your product management expert and
34:27today I'll walk you through the key
34:29steps for designing engaging content. By
34:32the end of this video, you'll have a
34:34clear process for planning and creating
34:36content that resonates with your target
34:38audience and maximizes reach across
34:41various platforms. Let's begin by
34:43discussing what makes content engaging.
34:46Engaging content has three core
34:48elements. Eye-catching visuals. This
34:51includes images and videos that capture
34:53attention immediately.
34:56Compelling copy, a short, snappy text
34:58that delivers your message effectively.
35:00A clear call to action, CTAs,
35:03encouraging users to engage, such as by
35:06liking, commenting, or sharing. Before
35:09jumping into content creation, it's
35:11important to define your content
35:13strategy. So, step one, defining your
35:16content strategy. Start by identifying
35:19the target audience. Are you aiming for
35:21early adopters, existing customers, or a
35:24new demographic? Knowing this will shape
35:27the tone and style of your content.
35:30Next, decide which social media
35:32platforms to focus on. Each platform,
35:35Instagram, Twitter, LinkedIn, Facebook
35:37has its strengths. Instagram and
35:40Facebook are highly visual, making them
35:42ideal for imagery and videos, while
35:45LinkedIn is more suited for professional
35:47and thought leadership content, while
35:49Twitter is great for generating quick
35:52buzz with sharable content like polls,
35:55gifts, and short announcements.
35:57Step two, designing eye-catching
36:00visuals. Visual content is essential to
36:03stand out on social media. Let's start
36:06by creating a launch announcement post
36:08for Instagram. Here, I've selected an
36:10image that suits my brand style, brand,
36:13logo, and colors. Over that, I'm going
36:16to overlay the text with a short and
36:18snappy caption, something like coming
36:21soon. Elevate your workflow. Incorporate
36:24your brand colors and logo to ensure the
36:26post is on brand. Platforms like
36:29Instagram favor high contrast, visually
36:32appealing designs, so don't hesitate to
36:34experiment with vibrant colors and
36:36clear, legible fonts. For videos, you
36:40might want to include something that
36:41matches your brand image and use a
36:44different caption. Consider making a
36:4715-second teaser that introduces the
36:49product, highlights its key features,
36:52and end with a call to action like,
36:54"Follow us for updates." To maximize
36:57engagement, you'll want to create posts
37:00that not only showcase the product, but
37:02also encourage interaction.
37:05For example, design a poll or quiz
37:07asking users what feature they're most
37:09excited about and using eye-catching
37:11graphics and a clear CTA like comment
37:14below to tell us your answer. Step
37:17three, crafting compelling copy. Now
37:20that we have visuals, it's time to focus
37:22on the copy. Your text should be
37:25concise, engaging, and aligned with the
37:28platform. On Instagram, you might write
37:31something like, "The wait is almost
37:32over. Our new product is launching soon
37:35and we can't wait to show you what's in
37:37store. Stay tuned for more updates. #
37:41product launch #coming soon. The key is
37:45to use emojis and hashtags that increase
37:48visibility while keeping the tone casual
37:50and engaging. For platforms like
37:53LinkedIn, a more professional approach
37:55is needed so you can consider writing.
37:59We're excited to announce the upcoming
38:01launch of product name designed to
38:03streamline your workflow and boost
38:05productivity.
38:07Follow us for updates on how you can
38:09transform the way you work.
38:12Ensure you include a call to action CTA
38:14in every post, whether it's encouraging
38:17users to share the post, follow the
38:19account, or visit a landing page for
38:21more information. Step four, tailoring
38:24content for each platform. Now that we
38:27have visuals and copy, it's important to
38:29tailor our images for each platform that
38:31we will be using. For this examples, I'm
38:34going to be using the resize feature
38:36available. You can customize yours based
38:38on your platform of choice. For Twitter,
38:41we can resize our Instagram image for
38:43platform compatibility and change our
38:46caption to something like new product.
38:48Any guesses? This keeps the excitement
38:51and matches the Twitter audience. Step
38:55five, encouraging usergenerated content.
38:58To create even more excitement, you can
39:01encourage users to create and share
39:03their own content related to your
39:05product. Something like, "Tell us about
39:08how you use our product and collect
39:10videos that can serve as client
39:12testimonials or user generated content."
39:16Step six, scheduling posts and tracking
39:19performance. Once your content is
39:22created, it's time to schedule it across
39:24platforms. Using tools like Hootswuite
39:27or Buffer can be helpful because you can
39:30plan your content calendar to ensure a
39:32steady flow of posts leading up to the
39:34launch. While you're doing this, it's
39:36extremely important to track your user
39:38engagement and metrics such as likes,
39:41shares, and comments using each
39:43platform's built-in analytics or within
39:46your own platform of choice. For
39:49example, here I have used Excel sheets.
39:52This data helps you understand which
39:54types of content resonate best with your
39:56audience and allows you to adjust your
39:59strategy accordingly. You can also
40:02generate reports and graphs to
40:04understand your strategy metrics better.
40:06Engaging social media content is crucial
40:09for building excitement and generating
40:11buzz around your product launch. By
40:14using eye-catching visuals, crafting
40:16compelling copy, and tailoring content
40:19for each platform, you can maximize your
40:21reach and encourage interaction with
40:23your audience.
40:25[Music]
40:32Imagine you are a product manager
40:34preparing to present a new enterprise
40:36software solution to stakeholders.
40:39Delivering a compelling presentation is
40:41crucial for securing buyin and driving
40:43adoption. This demonstration will guide
40:46you through creating and delivering
40:48effective product presentations.
40:50To begin, you will define your target
40:52audience.
40:54Understanding who you are presenting to
40:56is essential for tailoring your message
40:58and focusing on the most relevant
41:00information. For example, if you are
41:03presenting to executives, focus on the
41:05highlevel business value and ROI. If you
41:09are presenting to a technical team,
41:11focus on the technical details and
41:13capabilities. If you are presenting to
41:15end users, focus on usability and ease
41:18of use. Before diving into the details,
41:21structure your presentation logically. A
41:24common structure includes an
41:27introduction to grab attention, a clear
41:29statement of the problem you're solving,
41:32a demonstration of your solution,
41:34evidence of its effectiveness, and a
41:37clear call to action. This helps your
41:39audience follow your logic and
41:41understand the value. To grab attention,
41:44you might start with a compelling
41:45statistic, a thought-provoking question,
41:48or a brief anecdote. For example, when
41:51presenting the fictional product AI
41:54insightfulness, a new analytics
41:56platform, you could begin with, did you
41:59know that 70% of enterprises struggle to
42:02extract actionable insights from their
42:04data? Then clearly state the problem. AI
42:08insightfulness solves the problem of
42:10data being hard to analyze, which causes
42:13businesses to miss opportunities and
42:15make poor decisions.
42:18This helps your audience follow your
42:19logic and understand the value. Next,
42:23you will clearly articulate the value
42:25proposition of your enterprise software.
42:28Explain the benefits and how it solves
42:30the stakeholders problems. Focus on the
42:33value that the product offers, not just
42:36the features. For an executive audience,
42:39this might emphasize increased
42:40efficiency, reduced operational costs,
42:43and improved ROI.
42:46You will then highlight the key features
42:48of the enterprise software. Focus on the
42:51features that are most relevant to your
42:53target audience. In this example, the
42:55key features include predictive insight
42:58engine, realtime smart dashboards,
43:00adaptive learning system, smart alerting
43:03and anomaly detection, and insight
43:05collaboration hub. Use visuals such as
43:09screenshots or diagrams to illustrate
43:11these features. You can also use
43:14wireframes, data flow diagrams, or user
43:17journey maps to showcase your product
43:20fit with client needs. To make your
43:22presentation engaging, you will use
43:25storytelling techniques. Use realworld
43:28examples, case studies, or user
43:30testimonials to demonstrate the
43:33software's impact and effectiveness. For
43:36example, when presenting AI
43:38insightfulness, you could tell a story
43:40about Acme Corp., a struggling
43:42e-commerce company that was bleeding
43:44revenue due to inefficient inventory
43:46management. Due to the revenue problems,
43:49the company was looking at mass layoffs.
43:52By implementing AI insightfulness, Acme
43:55Corp. was able to predict demand with
43:5795% accuracy, optimize their stock
44:00levels, and ultimately identify a new
44:03market opportunity in personalized
44:05recommendations, resulting in a 30%
44:08increase in revenue. This transformation
44:11not only boosted their bottom line, but
44:13also improved customer satisfaction.
44:16You will also emphasize the software's
44:18benefits with a clear and concise
44:21presentation style. Avoid technical
44:24jargon and use language that your
44:26audience can easily understand. You will
44:29conclude your presentation with a clear
44:31call to action. Tell the audience what
44:33you want them to do next, such as
44:35schedule a demo, start a trial, or make
44:37a purchase. Effective product
44:40presentations are crucial for
44:42communicating the value and key features
44:44of enterprise software to stakeholders.
44:48By following these guidelines, you can
44:50create compelling presentations that
44:52drive buyin and adoption.
44:55[Music]
45:05Welcome to the world of product
45:06marketing. Ever wondered how businesses
45:09turn innovative ideas into successful
45:11products? In today's market, a great
45:15product needs a great marketing
45:16strategy. After watching this video, you
45:19will have a solid understanding of the
45:21marketing mix's key elements and how
45:24they collaborate to achieve your desired
45:26outcomes.
45:27>> Hi there. Thanks for stopping by. Today,
45:29I'm excited to unveil our latest
45:31creation. Designing this bottle was just
45:33the beginning. Now the real journey
45:35starts introducing it to the world and
45:38making it a hit. That's where the
45:40marketing mix comes in. It's a strategic
45:43framework with four interconnected
45:44elements. Product, price, place, and
45:47promotion. Let's break it down. First,
45:50we have the product itself. It's more
45:53than just its features. It's about the
45:55value it brings to customers. We've
45:57designed this bottle to be not only
45:59functional and stylish, but also a
46:01statement of sustainability. Next is
46:03price. It's a balancing act. We need to
46:06set a price that reflects the quality
46:08and value of our bottle while also
46:10considering what our target customers
46:11are willing to pay and what our
46:13competitors are charging. Then there's
46:16place or distribution. It's about making
46:18our bottle accessible to our customers.
46:21We'll be selling it here at the market,
46:22but also through our online store and
46:25partnering with select retailers who
46:26align with our brand values.
46:29And finally, promotion. This is where we
46:32tell our bottle story and connect with
46:34our audience. We'll leverage social
46:36media, create engaging content,
46:38participate in community events, and
46:40collaborate with influencers who share
46:42our passion for sustainability.
46:45When these four elements work together
46:47harmoniously, they produce exceptional
46:49outcomes. Customers discover our
46:51product, understand its value
46:53proposition, easily find it where they
46:55shop, and are inspired to make a
46:57purchase. Remember, the marketing mix
46:59isn't static. It's a dynamic process
47:01that requires ongoing analysis,
47:03adaptation, and a deep understanding of
47:06your target audience and the ever
47:07evolving. By strategically orchestrating
47:10the marketing mix, you can create a
47:12compelling narrative that resonates with
47:13your customers, drives sales, and builds
47:16a loyal brand following. It's about
47:19creating a win-win situation where your
47:20product thrives, and your customers feel
47:23good about their purchase.
47:24>> And that's a wrap on the marketing mix.
47:27We've explored its key elements and how
47:29they intertwine to shape your product's
47:31journey. Now it's your turn to apply
47:34these principles and create your own
47:36success story.
47:38[Music]
47:48In today's high-tech environment, it's
47:50easy to be captivated by digital
47:52marketing, especially with the explosion
47:54of online tools and platforms. Yet, even
47:57in industries like enterprise software,
48:00traditional offline channels remain
48:02influential. Print, TV, and radio
48:06continue to be critical stages for
48:08reaching audiences. Let's explore their
48:10impact within a business-to business or
48:12B2B context where reaching decision
48:15makers can be more challenging than
48:17ever. By the end, you will be able to
48:21describe how to leverage traditional
48:23offline advertising channels and explain
48:25the strengths and limitations of print,
48:28TV, and radio marketing.
48:31Although digital marketing is
48:32groundbreaking, traditional advertising
48:35channels can still play a pivotal role
48:37in enterprise and B2B strategies. They
48:40provide unique strengths that might be
48:42crucial for engaging audiences less
48:44accessible online. Think of busy
48:46executives or industries heavily relying
48:48on face-to-face interactions. Let's
48:51delve into print marketing, the most
48:53important B2B channel. This includes
48:56newspapers, industry publications,
48:58brochures, and billboards.
49:00Print provides a tangible lasting impact
49:03crucial for B2B deals where trust and
49:06stability are paramount. Publications
49:09like industry reports or case studies in
49:11reputable journals can reinforce your
49:13software's credibility and expertise.
49:16One clear advantage of print is its
49:18capability to reach specific sectors
49:20efficiently. Consider advertising an
49:22enterprise software solution in
49:24publications like CIO magazine to
49:26directly reach IT decision makers. You
49:29might also utilize targeted brochures or
49:32sales kits during trade shows to leave a
49:34lasting impression. However, print
49:37advertising faces some challenges.
49:39Campaigns can be expensive and slow to
49:41execute, making it harder to adapt
49:43swiftly to market changes. Measuring
49:46their success doesn't come as easily as
49:48digital ads, where metrics are readily
49:50available. Consider these factors when
49:52allocating your budget. Moving on to TV
49:55advertising. TV allows you to combine
49:58visuals, sound, and motion. This
50:00combination can be powerful for telling
50:03your software's story in a way that
50:05resonates emotionally. A well-placed
50:07commercial during a conference broadcast
50:09reaches a large audience and can vividly
50:12demonstrate complex software solutions.
50:15Imagine showcasing how an enterprise
50:17solution can streamline a company's
50:20operations. Featuring real world
50:22testimonials from trusted clients. High
50:24impact visuals and clear messaging can
50:27forge a strong connection encourage
50:29brand recall and prompt executives to
50:32consider your services in their
50:33procurement plans. Still, TV ads come at
50:36a high cost and require substantial
50:39investment. The rise of streaming and
50:41ondemand services fragments audiences,
50:44making it vital to choose the right
50:46channels or events that your target
50:48market follows. This medium demands a
50:50well-thoughtout strategy to ensure
50:53return on investment. Radio might seem
50:55less glamorous, but its reach is broad
50:58and costs are typically lower. Radio
51:01spots can effectively promote webinars,
51:03software updates, or even thought
51:05leadership pieces. In industries like
51:07manufacturing, where auditory cues
51:09resonate, radio can be surprisingly
51:12effective. Think of a catchy radio spot
51:15inviting IT executives to a conference
51:17with industry leaders discussing
51:19emerging technologies. A strategic
51:22partnership with trusted radio hosts can
51:24also create credibility and trust, both
51:27essentials in B2B relationships.
51:30However, radio lacks the visual
51:32component crucial for some software
51:34demonstrations, and tracking its success
51:36can be tricky. It's essential to combine
51:39radio with other channels for a
51:41comprehensive approach. In conclusion,
51:43traditional channels like print, TV, and
51:46radio still matter, especially in B2B
51:48marketing. They offer unique advantages
51:51and can complement your digital
51:53strategy, targeting audiences in ways
51:55digital cannot. By understanding their
51:58strengths and strategic use, you can
52:00create campaigns that resonate and drive
52:03results. Note that while these offline
52:05channels can be strategically integrated
52:07into B2B efforts, their impact is
52:10typically less direct than their role as
52:12primary engagement tools in business to
52:14consumer BTOC marketing. It's often
52:18better to invest in primary B2B channels
52:20than offline channels while targeting
52:22business customers. Blending traditional
52:25and digital channels can elevate your
52:27marketing strategy. By strategically
52:29choosing channels that align with your
52:31company's goals and your audience's
52:33preferences, you ensure a broad yet
52:35targeted reach. This holistic marketing
52:38strategy can propel your software
52:40solutions to new heights.
52:53Product launches require careful
52:55planning. A single error can disrupt the
52:57entire process. To succeed, you need
53:00tools that effectively manage leads,
53:02segment audiences, and monitor campaign
53:05performance. This video provides an
53:07overview of how Dynamics 365 supports
53:10marketing activities. By the end, you
53:13will understand how to use Dynamics 365
53:16to plan and execute B2B marketing
53:18campaigns. Specifically, we will discuss
53:21lead management, audience segmentation,
53:24and performance tracking. Dynamics 365
53:28offers a structured approach to B2B
53:30marketing. It begins with centralizing
53:32lead management. This is essential for
53:35organizing and tracking potential
53:36customers. Then you can segment
53:39audiences based on specific criteria.
53:42This allows for focused targeted
53:44campaigns. Finally, the system enables
53:47real-time performance tracking. This
53:49data helps you make necessary
53:51adjustments during the campaign. Why are
53:54these features so important? B2B
53:57marketing involves complex sales cycles.
53:59You often target specific industries and
54:02key decision makers within those
54:04industries. This complexity requires
54:06specialized tools. Dynamics 365 helps
54:10streamline these processes, leading to
54:12improved efficiency and better results.
54:15Lead management is a critical part of
54:17B2B success. Capturing, qualifying, and
54:21nurturing leads helps sales teams focus
54:23on the most promising prospects.
54:25Dynamics 365 streamlines this process by
54:29automating many of the tasks involved.
54:31For instance, a company selling
54:33cloud-based software can use Dynamics
54:36365 to set up automated workflows that
54:39assign scores to leads based on their
54:41interactions. If a lead downloads a
54:44white paper, they earn a certain number
54:45of points. If they attend a webinar,
54:47they earn more. This scoring system
54:50helps sales teams focus on the most
54:52engaged leads, saving time and resources
54:55by automating qualification and tracking
54:57so they can concentrate on closing
54:59deals. Audience segmentation is a key
55:02component of effective marketing.
55:04Personalized communication delivers
55:06better results when messages are aligned
55:08with the specific needs of different
55:10customer groups.
55:12For instance, a company that sells
55:14industrial equipment can segment its
55:16audience based on industry, company
55:18size, or purchase history. This enables
55:21them to send targeted email campaigns
55:24such as one for manufacturers, another
55:26for construction companies, or separate
55:28messages for large enterprises and small
55:30businesses.
55:32This approach leads to higher engagement
55:34and improved conversion rates. Dynamics
55:37365 provides advanced audience
55:39segmentation, including dynamic
55:41segmentation that automatically updates
55:44groups in real time based on customer
55:46behavior, keeping communication relevant
55:48and timely.
55:50Tracking campaign performance is
55:52essential for continuous improvement.
55:54Data reveals what's working and what
55:57needs adjustment, helping you make
55:58informed decisions and optimize
56:00marketing spend. Dynamics 365 provides
56:04powerful analytics to monitor key
56:06performance indicators, KPIs, like
56:09click-through rates, conversion rates,
56:11and return on investment or ROI. For
56:15instance, if an email campaign shows a
56:17low click-through rate, you can review
56:19the subject line or message content and
56:21refine it. If a landing page has a high
56:24bounce rate, analyzing its layout and
56:26messaging can lead to better engagement.
56:29Product managers must align marketing
56:31with product strategy. Dynamics 365
56:35supports this by providing a shared
56:37platform for both marketing and sales.
56:40Marketing teams can generate leads
56:42through campaigns while sales teams
56:44manage and track those leads all within
56:46the same system. So both teams stay
56:49aligned and work toward common goals.
56:53Understanding how to use Dynamics 365
56:56improves campaign effectiveness as it
56:58supports datadriven decision-making. You
57:01maximize return on investment and
57:03product launch success depends on it.
57:06For example, a company targeting
57:08potential manufacturing customers can
57:10use Dynamics 365. The system tracks
57:14which marketing materials those clients
57:15interact with, such as product demos or
57:18case studies. Then the sales team can
57:20follow up with personalized
57:22communications based on those
57:24interactions. This process increases
57:27efficiency and leads to higher rates of
57:29closed deals.
57:31[Music]
57:41Ever noticed how your experience at the
57:43doctor's office is carefully structured,
57:45Brian? From the moment you schedule an
57:48appointment to the follow-up call, it's
57:50a wellplanned process, much like what
57:53businesses use to guide customers,
57:55called the salesunnel.
57:56>> The salesunnel? I've never thought about
57:58it that way, but I guess it makes sense.
58:01There's a process to everything.
58:02>> Exactly, Brian. The salesunnel is a
58:05journey that guides customers from being
58:08completely unaware of a product or
58:10service to actually making a purchase.
58:12Let's break it down and see how it
58:14works, even here at the doctor's office.
58:17By the end of this video, you'll
58:19understand the different stages of the
58:21sales funnel and how effective sales
58:23strategies can help guide potential
58:25customers towards a purchase.
58:28A new clinic specializing in
58:29preventative care. I should look into
58:31that.
58:32>> That's the awareness stage, the first
58:34step. Businesses try to get your
58:36attention and make you aware of their
58:38solutions. Like this poster.
58:40>> This sounds promising. They offer
58:42personalized health plans and focus on
58:44wellness. I like that.
58:46>> See, now they've sparked your interest.
58:49They're highlighting the benefits to
58:51make you want to learn more. The reviews
58:53are really positive and their prices
58:55seem reasonable, but I should probably
58:57check with my insurance.
58:58>> That's the consideration stage in
59:00action. You're weighing your options,
59:02comparing different providers and
59:05gathering more information.
59:06>> Hi, I'd like to schedule a checkup.
59:09>> Congratulations, Brian. You've reached
59:11the conversion stage, the most important
59:14part of the funnel. You've taken action
59:17and become a patient. This is where all
59:19the effort businesses put into the
59:21earlier stages pays off. They've
59:23successfully guided you from being just
59:25another person who saw a poster to
59:27someone who's committed to their
59:29services.
59:30>> That was a great experience. The doctor
59:32was fantastic.
59:34>> And that's the loyalty stage. Satisfied
59:37customers or in this case patients can
59:40turn into repeat visitors and even
59:42recommend the business to others.
59:44Understanding the sales funnel helps
59:47businesses guide potential customers
59:49like you through their journey.
59:51>> It's amazing how it applies to so many
59:53different situations. I'll definitely be
59:55more aware of it now.
59:57[Music]
1:00:07In this video, we will explore why
1:00:10nurturing leads and guiding them to a
1:00:11purchase decision is important,
1:00:14especially within a B-2B context
1:00:16involving enterprise software. Nurturing
1:00:19leads in the context of sales and
1:00:21marketing can be defined as the process
1:00:23of building and maintaining
1:00:24relationships with potential customers,
1:00:27leads, at every stage of their buyer's
1:00:29journey. This strategic process involves
1:00:32cultivating these relationships and
1:00:34proactively addressing their challenges.
1:00:37The goal is to guide them from initial
1:00:39interest to a purchasing decision by
1:00:42providing relevant, helpful, and timely
1:00:44content or interactions. This
1:00:47necessitates a deep understanding of
1:00:49their specific needs and concerns,
1:00:51coupled with clearly demonstrating the
1:00:54value and transformative potential of
1:00:56your product or service. particularly
1:00:58significant when dealing with
1:01:00substantial investments like enterprise
1:01:02software. Nurturing leads is essential
1:01:04in the sales process, especially with
1:01:07enterprise software solutions like
1:01:09Microsoft 365, which may involve
1:01:11substantial investments and extended
1:01:13time periods. Building relationships and
1:01:16educating potential customers about your
1:01:18product is key. This trust building
1:01:21often involves multiple touch points,
1:01:23emails, calls, and presentations.
1:01:26Providing valuable information and
1:01:28addressing doubts helps them move
1:01:30through the sales funnel and results in
1:01:32loyal customers.
1:01:36Personalizing communication builds
1:01:38rapport with customers. Avoid generic
1:01:41messages. Instead, tailor messages based
1:01:44on the customer's unique environment and
1:01:46business challenges. This shows you
1:01:48value their business and understand
1:01:50their situation. For instance, if you
1:01:53highlight the benefits of Microsoft
1:01:54Azure to a tech company concerned about
1:01:57scalability, explain how Azure can
1:01:59efficiently scale their computing
1:02:01resources. Specific examples make your
1:02:04product relevant and appealing. Offering
1:02:07valuable content is another step in
1:02:09nurturing leads. For instance, blog
1:02:12posts are ideal for attracting early
1:02:14stage prospects by addressing their pain
1:02:16points, while case studies help
1:02:18middle-stage leads evaluate solutions
1:02:20through realworld success stories.
1:02:23Webinars, on the other hand, engage
1:02:26lateage leads by offering in-depth
1:02:28insights and direct interaction.
1:02:30Providing such targeted content not only
1:02:33educates potential customers, but also
1:02:36establishes you as a trusted adviser.
1:02:38This demonstrates your knowledge and
1:02:40positions your solution as credible and
1:02:43reliable. For instance, sharing case
1:02:46studies on how businesses reduced IT
1:02:48costs using Microsoft Dynamics 365
1:02:52educates and informs potential
1:02:53customers, building your credibility as
1:02:56a trusted source of information.
1:02:58Addressing customer needs and concerns
1:03:00is also important. Listen carefully to
1:03:02their pain points and provide relevant
1:03:04solutions. Whether it's about
1:03:06integration with current software or
1:03:08cloud security concerns, responding
1:03:10effectively builds trust and increases
1:03:12the likelihood of a sale. If a business
1:03:16hesitates over the initial cost of
1:03:17implementing Microsoft Teams, explain
1:03:20the efficiencies and cost savings they
1:03:22will realize long term. Discuss
1:03:25available financing options or highlight
1:03:27any incentives that might apply. This
1:03:29makes transitioning smoother and more
1:03:31appealing. After establishing rapport,
1:03:35educating, and addressing concerns, it's
1:03:37time to guide your leads towards a
1:03:39purchase decision. Your ability to
1:03:41communicate persuasively is key here.
1:03:44Focus on articulating the specific
1:03:46benefits your software offers. Picture
1:03:49the impact of centralized data
1:03:50management or seamless team
1:03:52collaboration on their business.
1:03:55Offering a trial or satisfaction
1:03:57guarantee guides potential customers
1:03:59toward a decision. Hands-on experience
1:04:02reduces perceived risks and boosts
1:04:04confidence in your product. You can also
1:04:07offer personalized demos or
1:04:08consultations to answer any questions
1:04:11they have about the systems
1:04:12capabilities.
1:04:14Closing a sale requires confidence,
1:04:16persistence, and the genuine drive to
1:04:19find the right fit for your customers
1:04:21needs. It takes patience. Not every lead
1:04:23turns into a customer right away. But by
1:04:26nurturing leads, addressing concerns,
1:04:29and showing the value of your product,
1:04:31you stand a better chance of closing
1:04:33sales and building long-term customer
1:04:36relationships.
1:04:37Nurturing leads and closing sales
1:04:39involves relationship building and
1:04:41solving problems. Remember, being
1:04:44successful in sales isn't only about
1:04:46closing deals. It's about forming
1:04:48lasting relationships with customers.
1:04:51Providing value, being trustworthy, and
1:04:54exceeding customer expectations
1:04:56transforms leads into loyal supporters
1:04:58who repeatedly choose your business. By
1:05:02consistently delivering solutions that
1:05:03meet their evolving needs, you solidify
1:05:06your position as a valuable partner.
1:05:08This dedication to customer success
1:05:11ultimately drives sustainable growth and
1:05:13promotes a strong, positive brand
1:05:15reputation. Embrace the journey of lead
1:05:18nurturing as a continuous cycle where
1:05:20each interaction strengthens the bond
1:05:22and reinforces your commitment to their
1:05:24success. Your consistent effort
1:05:27translates into enduring partnerships
1:05:29and a thriving business.
1:05:35[Music]
1:05:41Ever wonder how some products fly off
1:05:43the shelves while others gather dust?
1:05:46It's not just about having a great idea.
1:05:48It's about having a killer sales
1:05:50strategy that resonates with your target
1:05:52audience and fulfills their needs. In
1:05:54this video, you'll explore the key
1:05:56elements of a successful sales strategy,
1:06:00emphasizing the importance of building
1:06:02relationships, understanding customer
1:06:04needs, and delivering value to drive
1:06:07revenue and customer satisfaction. Let's
1:06:10get started. Meet Emily, a passionate
1:06:13entrepreneur with a vision for a
1:06:15healthier world. She's invented a smart
1:06:18gardening system that empowers people to
1:06:20grow fresh herbs and vegetables indoors,
1:06:23even with limited space and gardening
1:06:25experience.
1:06:26Emily knows her product is fantastic,
1:06:29but she's also aware that even the best
1:06:31product won't sell itself. She needs a
1:06:34solid sales strategy to get her smart
1:06:37gardening system into the hands of eager
1:06:39growers and achieve her business goals.
1:06:41The first step in Emily's sales journey
1:06:43is building strong relationships with
1:06:46potential customers. Just like nurturing
1:06:48a plant, cultivating trust and rapport
1:06:51is essential. Emily attends community
1:06:54gardening events, engages with her
1:06:56target audience on social media, and
1:06:58even offers free workshops to
1:07:00demonstrate the ease and benefits of her
1:07:02smart gardening system. Next, Emily
1:07:05understands that it's not just about
1:07:06selling her product, it's about solving
1:07:09her customers problems. She conducts
1:07:11surveys, gathers customer feedback, and
1:07:14actively listens to their concerns about
1:07:16limited space, lack of gardening
1:07:18experience, and the desire for fresh
1:07:21homegrown produce. Emily knows her
1:07:24product has to deliver on its promises.
1:07:26She ensures the smart gardening system
1:07:28is easy to set up, provides optimal
1:07:31growing conditions, and helps people
1:07:33grow healthy plants. By exceeding
1:07:36customer expectations and providing
1:07:38ongoing support, she creates a positive
1:07:40experience that leads to repeat business
1:07:43and enthusiastic referrals. With a focus
1:07:46on building relationships, understanding
1:07:49customer needs, and delivering value,
1:07:52Emily's sales strategy flourishes. Her
1:07:55smart gardening system becomes a hit,
1:07:58generating revenue and earning rave
1:08:00reviews from delighted customers.
1:08:03Emily's success story demonstrates the
1:08:05power of a wellexecuted sales strategy
1:08:08in achieving product success. Remember,
1:08:11a successful sales strategy isn't just
1:08:13about closing deals. It's about
1:08:15fostering lasting relationships,
1:08:17understanding your customers, and
1:08:20delivering exceptional value. By
1:08:22embracing these principles, you can
1:08:24drive revenue, achieve customer
1:08:26satisfaction, and pave the way for your
1:08:29product success. So go out there and
1:08:32make it happen.
1:08:34[Music]
1:08:44Cities are constantly evolving. New
1:08:46buildings rise, old ones are replaced,
1:08:49and the landscape is forever changing.
1:08:52The same is true for products. They're
1:08:54born, they grow, they mature, and
1:08:57eventually they make way for the new. In
1:09:00this video, you will be able to
1:09:01visualize the product life cycle,
1:09:04highlighting the importance of ongoing
1:09:06monitoring and adaptation for long-term
1:09:08success. Understanding this cycle is key
1:09:11to ensuring your product's longevity.
1:09:14>> But the market is so dynamic. How can we
1:09:16possibly keep up?
1:09:18>> That's where monitoring and adaptation
1:09:20come in. We need to be constantly
1:09:22gathering data, analyzing feedback, and
1:09:25adjusting our strategies, ensuring our
1:09:28product remains relevant and
1:09:29competitive. Products that stay around
1:09:32often keep reinventing themselves, and
1:09:34we need to be prepared to do the same.
1:09:37Let's take a look at how we can achieve
1:09:38this. In the introduction stage, your
1:09:41product is new and unknown.
1:09:44>> So, it's like a new restaurant opening
1:09:46its doors. You need to create buzz and
1:09:48entice people to try your offering.
1:09:51>> Exactly. Next is the growth stage. This
1:09:54is where your product gains traction.
1:09:57>> This is where we focus on scaling up,
1:09:59expanding our reach, and maximizing our
1:10:01growth potential.
1:10:02>> You got it. Then we move to the maturity
1:10:05stage where growth slows down as the
1:10:07market becomes saturated.
1:10:09>> Oh, so it's like a tree reaching its
1:10:11full height. We need to find new ways to
1:10:14branch out and stay relevant. You're
1:10:16getting it. Finally, in the decline
1:10:19stage, sales start to drop as newer and
1:10:22better products enter the market.
1:10:24>> Interesting. So, this is where we would
1:10:26make tough decisions. Do we revitalize
1:10:28the product, phase it out, or pivot to
1:10:31something new?
1:10:32>> The key is to anticipate these changes
1:10:34and adapt proactively. By constantly
1:10:37monitoring the market, listening to your
1:10:39customers, and being willing to evolve,
1:10:42you can ensure your product not only
1:10:44survives, but thrives throughout its
1:10:46life cycle. Remember, the product life
1:10:49cycle is a journey, not a destination. I
1:10:52understand. By embracing change and
1:10:54adapting to the market, we can ensure
1:10:57our products continue to flourish, just
1:10:59like the ever evolving cityscape around
1:11:01us.
1:11:03Imagine
1:11:07[Music]
1:11:10you're a product manager at a growing
1:11:11tech company. You're launching a new
1:11:14software product and user data is coming
1:11:16in from all directions. To make smart
1:11:19choices about updates and improvements,
1:11:22you need to make sense of this user
1:11:24activity. This demonstration will guide
1:11:26you through how PowerBI can be used to
1:11:29track important metrics, identify user
1:11:32trends, and understand product adoption
1:11:35and usage patterns. PowerBI is a
1:11:39business analytics tool from Microsoft.
1:11:41It helps people see data and share
1:11:43insights. It turns complex data into
1:11:47easy to understand charts and graphs.
1:11:50This can help product managers make
1:11:52better decisions. Product managers use
1:11:55many metrics to track user behavior.
1:11:57Some common ones include adoption rate,
1:12:01how many new users are starting to use
1:12:03the product, feature usage, which
1:12:06features are users engaging with, user
1:12:09engagement, how often do users interact
1:12:12with the product? To analyze user
1:12:15behavior, PowerBI needs data. Data can
1:12:18come from many places and PowerBI can
1:12:21connect to these data sources to gather
1:12:23the information needed. Start by
1:12:26clicking create and selecting the Excel
1:12:29data option. Then navigate to upload
1:12:32file where it allows you to upload your
1:12:34data set file on the platform. A file
1:12:38dialogue box will appear. Navigate to
1:12:40the location where you have saved the
1:12:42Excel file containing the user activity
1:12:44data. Select the file and click open. A
1:12:49navigator window will appear displaying
1:12:51the sheets available in the Excel
1:12:53workbook.
1:12:55Select the sheet that contains the user
1:12:57activity data. In this case, it's user
1:13:00activity.
1:13:02You can see a preview of the data to
1:13:04ensure it contains the necessary
1:13:06information such as user IDs,
1:13:08timestamps, actions performed, and
1:13:11features used. Once selected, click
1:13:14create. PowerBI will now load the data
1:13:17into its data model. Once loaded, you
1:13:20will see the sheet listed in the fields
1:13:22pane on the right side of the screen.
1:13:25The next step is to create
1:13:26visualizations to track key metrics. A
1:13:29fundamental metric for post-launch
1:13:31analysis is user adoption. To visualize
1:13:35this, create a simple bar chart showing
1:13:37the number of unique users over time.
1:13:40Drag the timestamp field to the xaxis.
1:13:44Well, PowerBI will likely group the
1:13:48timestamps. To see the trend over time,
1:13:51you might need to adjust the date
1:13:52hierarchy.
1:13:54Ensure that the user ID field in the
1:13:57values well is set to count distinct.
1:14:00This will give you the number of unique
1:14:02users for each time period. This bar
1:14:05chart now provides a visual
1:14:07representation of user adoption trends
1:14:10over time. You can see how many new
1:14:12unique users are engaging with the
1:14:14product each day. Another important
1:14:17metric is feature usage. To analyze
1:14:20this, create another bar chart. Drag the
1:14:23feature field to the axis well. Then
1:14:26drag the user ID field to the values
1:14:29well and ensure it is set to count
1:14:32distinct. This will show you the number
1:14:34of unique users who have used each
1:14:37feature. This chart helps identify the
1:14:40most and least used features. This
1:14:42information is valuable for prioritizing
1:14:45future development efforts.
1:14:47Now create a table visualization. Drag
1:14:50the user ID field to the values well of
1:14:53a new table visualization. Then drag the
1:14:56action field to the columns values as
1:14:59well. This showcases the number of users
1:15:02taking a particular action. This
1:15:05showcases the number of users taking a
1:15:07particular action. You can also
1:15:09visualize this in different formats
1:15:11including line, bar chart, pie chart,
1:15:14and more. In summary, PowerBI provides a
1:15:17userfriendly way to connect to user
1:15:19activity data, create insightful
1:15:21visualizations, and identify key trends
1:15:24in product adoption and usage. This
1:15:28datadriven approach is essential for
1:15:30successful post-launch product
1:15:31management.
1:15:33[Music]
1:15:43In this video, let's discuss using
1:15:45customer feedback to improve your
1:15:47product, a fundamental aspect for any
1:15:49product manager. Once your enterprise
1:15:52software enters the market, the true
1:15:54challenge begins. how effectively you
1:15:56adapt to user expectations and market
1:15:58demands. This adaptation determines
1:16:01long-term success. Customer feedback
1:16:04extends beyond simple opinions. It
1:16:06serves as a valuable resource for
1:16:08product refinement. Whether managing a
1:16:11business-to business tool or an
1:16:13enterprise application, listening to
1:16:16users aids in making informed decisions.
1:16:19Ignoring this feedback can cause rapid
1:16:21decline within a competitive market.
1:16:23Why utilize customer feedback? Firstly,
1:16:27it highlights areas needing improvement.
1:16:29It reveals needs you may not have
1:16:31anticipated, which maintains your
1:16:33product's relevance and alignment with
1:16:35user expectations.
1:16:37Microsoft's approach to software updates
1:16:40demonstrates that continuous iteration
1:16:42based on user input is essential for
1:16:44remaining relevant. Feedback arises from
1:16:48diverse sources: surveys, customer
1:16:50support, and social media. Each source
1:16:53provides unique insights. For instance,
1:16:56if users find navigation within your
1:16:58enterprise software difficult, user
1:17:00surveys might expose this issue. While
1:17:03support tickets could pinpoint specific
1:17:04features causing the problem,
1:17:06categorizing and analyzing this feedback
1:17:08is necessary for informed
1:17:10decision-making. Search for patterns and
1:17:12prioritize issues based on their impact.
1:17:15tools like sentiment analysis, which
1:17:17refers to categorizing and analyzing
1:17:19insights by understanding the emotional
1:17:21tone. This alignment of development
1:17:24efforts with actual user needs is vital.
1:17:27Sentiment analysis refers to the use of
1:17:30tools to assist in categorizing and
1:17:32analyzing user feedback to extract
1:17:34actionable insights by understanding the
1:17:36emotional tone, positive, negative, or
1:17:39neutral, expressed in the feedback.
1:17:42Consider managing an enterprise solution
1:17:45like Microsoft Teams. If users report
1:17:48issues with multi-device syncing,
1:17:50feedback analysis would guide you to
1:17:52prioritize fixing this issue, leading to
1:17:54a smoother user experience. How do you
1:17:57prioritize updates? Consider their
1:18:00potential impact and complexity. Each
1:18:02change must align with your overarching
1:18:05goals. The aim extends beyond fixing
1:18:07existing problems. It includes creating
1:18:10a product that facilitates future
1:18:12growth. Imagine user feedback suggesting
1:18:14the addition of a virtual whiteboard to
1:18:17your collaborative software.
1:18:18Prioritizing this feature is justified
1:18:21because it aligns with your vision of
1:18:22enhancing team collaboration while also
1:18:25requiring careful consideration of how
1:18:27to best balance these valuable user
1:18:29requests with overarching business goals
1:18:32and the practicalities of technical
1:18:34implementation.
1:18:36Communication remains vital. Inform
1:18:39users that you are listening and working
1:18:41on improvements. Share updates through
1:18:43newsletters or blog posts. When users
1:18:46observe their opinions being valued,
1:18:49they become more engaged and loyal.
1:18:52Following the rollout of updates,
1:18:53monitor the results, track user
1:18:56engagement and satisfaction. This
1:18:58feedback loop is essential for
1:19:00continuous improvement, enabling you to
1:19:02adapt quickly and effectively. For
1:19:05example, if a new feature within your
1:19:07application increases user retention by
1:19:1020%. This indicates a clear success.
1:19:13Utilize these insights to continue
1:19:15refining your product.
1:19:18Implementing product improvements based
1:19:19on customer feedback is an ongoing
1:19:22process that shapes the future of your
1:19:24products. It cultivates a culture of
1:19:27continuous improvement and customer
1:19:29focus, ensuring your product remains
1:19:31competitive. Remember, your customers
1:19:34provide invaluable insights that assist
1:19:36in building a product they value.
1:19:39Maintain an active feedback loop and use
1:19:41these insights to propel your business
1:19:44forward. An active feedback loop refers
1:19:47to the ongoing process of continuously
1:19:49collecting and utilizing customer
1:19:51insights to guide product development
1:19:53and business growth. It emphasizes the
1:19:56importance of actively seeking and
1:19:58responding to customer input. Building a
1:20:01responsive product also involves
1:20:03proactive outreach. Do not wait for
1:20:06feedback to arrive. Actively solicit it.
1:20:09Conduct user interviews, host focus
1:20:11groups, and engage in direct
1:20:13conversations. These interactions
1:20:16provide deeper context and uncover
1:20:18nuanced needs that surveys or support
1:20:20tickets might miss. For instance, a
1:20:23direct conversation could reveal that a
1:20:25seemingly minor interface change
1:20:27significantly slows down a user's
1:20:29workflow.
1:20:31Furthermore, integrate feedback
1:20:33mechanisms directly into your product.
1:20:35Consider implementing in-app surveys or
1:20:38feedback buttons that allow users to
1:20:40share their thoughts in real time. This
1:20:42immediacy captures user experiences
1:20:45while they are fresh, leading to more
1:20:47accurate and actionable data. Remember
1:20:49to keep these feedback channels concise
1:20:52and userfriendly, minimizing disruption
1:20:54to their workflow. Analyzing feedback
1:20:56should not be a siloed activity. share
1:20:59insights across teams, development,
1:21:01marketing, and customer support. This
1:21:04cross-f functional collaboration
1:21:05promotes a holistic understanding of
1:21:07user needs and ensures that product
1:21:09improvements align with broader business
1:21:11objectives. For example, marketing teams
1:21:14can leverage user sentiment to tailor
1:21:17messaging while customer support can
1:21:19anticipate and address common pain
1:21:21points. Documenting and tracking
1:21:24feedback is essential for long-term
1:21:26product evolution. Use a centralized
1:21:28system to log all feedback, categorize
1:21:31it, and track the progress of
1:21:32implemented changes. This historical
1:21:35data provides valuable insights into
1:21:37recurring issues and helps identify
1:21:40trends that might otherwise go
1:21:42unnoticed. Regular reviews of this data
1:21:45can inform future product road maps and
1:21:47strategic decisions.
1:21:50Ultimately, the goal is to create a
1:21:52symbiotic relationship with your users.
1:21:55By consistently listening, responding,
1:21:57and adapting, you build a product that
1:22:00not only meets their current needs, but
1:22:02also anticipates their future ones. This
1:22:05level of responsiveness promotes trust
1:22:07and loyalty, turning users into
1:22:10advocates for your product.
1:22:15[Music]
1:22:22Launching a new product is exhilarating,
1:22:24isn't it? The anticipation, the
1:22:26possibilities. It's like sending your
1:22:28creation out into the world to make its
1:22:31mark. But before you hit that launch
1:22:32button, there's one crucial step that
1:22:35can make or break your success. Testing.
1:22:38In this video, you'll explore the
1:22:40critical role of testing in ensuring
1:22:42product quality and meeting customer
1:22:45expectations. You'll also uncover why
1:22:47testing is so much more than just
1:22:49finding bugs. It's about building trust,
1:22:51ensuring safety, and delivering a
1:22:53product that users can confidently
1:22:55embrace.
1:22:56>> You know, as a pet owner myself, I
1:22:59understand the worry of losing track of
1:23:01your furry friend. That's why we need to
1:23:04make sure this smart collar works
1:23:06flawlessly. Every feature, every
1:23:08function needs to be perfect.
1:23:10>> Testing isn't just about finding bugs.
1:23:13It's about ensuring your product
1:23:14delivers on its promises, meets user
1:23:17expectations, and provides a seamless
1:23:19experience. It's about turning a good
1:23:21idea into a product people love and
1:23:24trust.
1:23:25>> Oh no, I can't believe I missed this
1:23:27error. The GPS signal seems to be a bit
1:23:30off. I need to fix this before it
1:23:32reaches any customers. Imagine if
1:23:35someone's pet got lost because of a
1:23:37faulty tracker.
1:23:39>> A faulty product can lead to
1:23:41frustration, inconvenience, and even
1:23:43heartbreak. That's why thorough testing
1:23:45is so vital.
1:23:46>> Okay team, let's dig deeper. We need to
1:23:49ensure this collar is reliable in all
1:23:52situations, urban areas, dense forests,
1:23:55even underwater. We can't compromise on
1:23:58accuracy or battery life. Thorough
1:24:01testing helps you identify and address
1:24:03potential problems before they impact
1:24:05your customers. It's about building
1:24:07trust and delivering a product that
1:24:09truly provides peace of mind. Seeing our
1:24:12customers and their pets enjoy the
1:24:14product makes all the hard work and
1:24:16testing worthwhile. It's not just about
1:24:18a successful launch. It's about knowing
1:24:21we've created something that makes a
1:24:22real difference.
1:24:23>> By investing in testing, you're not just
1:24:26creating a product. You're building a
1:24:28relationship with your users based on
1:24:30trust and reliability.
1:24:32So, are you ready to put your product to
1:24:34the test? Remember, thorough testing is
1:24:36your key to delivering products that not
1:24:38only meet but exceed those customer
1:24:41expectations.
1:24:43[Music]
1:24:47Imagine
1:24:53launching a new software solution to
1:24:54your organization only to find that it's
1:24:56not userfriendly or doesn't meet your
1:24:58team's needs. This misalignment can be
1:25:01costly and frustrating within the
1:25:03context of user acceptance testing UIT.
1:25:06The distinction between a real target
1:25:08and a target user becomes crucial for
1:25:11ensuring the product's success. While
1:25:14the target user represents a
1:25:15generalized, often personadriven
1:25:17archetype of the intended end user
1:25:20defined by demographics, needs,
1:25:22behaviors, and motivations, the real
1:25:25target refers to the actual individuals
1:25:27participating in the UAT process. The
1:25:30effectiveness of UAT hinges on the
1:25:31degree to which your real target testers
1:25:34accurately represent your target user.
1:25:36If your UAT participants deviate
1:25:39significantly from your intended user
1:25:40base, for example, highly technical
1:25:43individuals testing a product designed
1:25:45for novice users, the feedback you
1:25:47receive might not accurately reflect the
1:25:49experiences of your actual customers.
1:25:52Let's explore why UAT is so valuable.
1:25:55First, it provides feedback from the
1:25:57people who matter most, your users.
1:26:00Internal testing may identify technical
1:26:02issues, but it cannot fully replicate
1:26:04how diverse users will interact with
1:26:06your software. UAT allows you to observe
1:26:09how users navigate your product, like a
1:26:11Microsoft Teams update. Watching real
1:26:13interactions, identifying usability
1:26:15challenges, and understanding the
1:26:16overall experience can reveal insights
1:26:18that internal testing might overlook.
1:26:21These insights lead to improvements that
1:26:23enhance user satisfaction and product
1:26:25adoption. Think of it like test-d
1:26:27driving Microsoft 365 business
1:26:29enhancements before a companywide
1:26:31rollout. You can read about new
1:26:33features, but until real users try them,
1:26:36you won't know if they meet
1:26:37expectations.
1:26:38Similarly, UAT enables users to test
1:26:41drive your product, providing valuable
1:26:43feedback for fine-tuning before launch.
1:26:46UAT helps ensure your product aligns
1:26:48with the target audience's needs. You
1:26:51might have a clear vision, but user
1:26:53feedback determines success. Suppose
1:26:55you're developing a B2B dashboard in
1:26:57PowerBI. It might seem intuitive to you,
1:27:00but UAT could reveal confusing elements.
1:27:03Gathering this feedback allows for
1:27:05necessary adjustments before a broader
1:27:07release. UAT also helps identify
1:27:10remaining issues. Even thorough internal
1:27:12testing may not catch problems that
1:27:14arise when real users engage with the
1:27:16product in unique ways. For instance,
1:27:19users might find Power Automation
1:27:20confusing due to unexpected error
1:27:22messages. Here, Power Automate is a
1:27:25service for creating automated workflows
1:27:27between your favorite apps and services
1:27:29to synchronize files, get notifications,
1:27:32collect data, and more. UAT helps catch
1:27:35such issues early, preventing widespread
1:27:37frustration. Planning effective UAT
1:27:39sessions starts with selecting
1:27:40participants who match your target
1:27:42audience and use the product in real
1:27:44life scenarios. Provide clear tasks,
1:27:47observe interactions, and gather
1:27:49feedback through surveys, interviews, or
1:27:50behavior analysis. This approach helps
1:27:53you understand user needs and usage
1:27:54patterns. Create a supportive
1:27:57environment for UAT participants. Let
1:27:59them know their feedback is valuable and
1:28:01encourage honesty about their
1:28:02experiences, whether positive or
1:28:04negative. This leads to meaningful
1:28:07insights that contribute to product
1:28:08improvement.
1:28:10Once feedback is collected, analyze the
1:28:12data and identify areas for improvement.
1:28:14Look for patterns, prioritize critical
1:28:17issues, and develop plans to address
1:28:19them. This may involve modifying the
1:28:22product's design or features to better
1:28:24meet user needs. Remember, UAT isn't
1:28:27just about finding bugs. It's about
1:28:29understanding user interactions and
1:28:31preferences. These insights inform
1:28:33future product decisions, prioritize
1:28:35features, and enhance the overall user
1:28:37experience. User acceptance testing is
1:28:40an essential step in product
1:28:41development. It provides valuable
1:28:43feedback, helps align the product with
1:28:45user needs, and identifies issues before
1:28:47launch. By involving users in testing,
1:28:50you increase the likelihood of launching
1:28:51successful products that engage users
1:28:54and drive growth. UAT is an investment
1:28:56in quality and long-term success.
1:28:59Additionally, incorporating automation
1:29:01into UAT can enhance efficiency.
1:29:04Automated test scripts can quickly
1:29:05validate core functionalities, allowing
1:29:08human testers to focus on usability and
1:29:10experience. This combination of manual
1:29:12and automated testing reinforces the
1:29:14overall validation process.
1:29:16Communication is another key factor in
1:29:18successful UAT. Keeping stakeholders
1:29:21informed about test objectives, results,
1:29:24and changes ensures alignment and
1:29:26facilitate smoother adoption post
1:29:28launch. Encouraging collaboration
1:29:30between developers, testers, and users
1:29:33can lead to a more refined product.
1:29:36Finally, UAT is not a one-time process.
1:29:40Continuous feedback loops, especially
1:29:42for SAS products or regularly updated
1:29:45software, help maintain user
1:29:46satisfaction and product relevance.
1:29:49Gathering user insights after each
1:29:51release allows ongoing improvements,
1:29:53ensuring long-term success in an ever
1:29:55evolving digital landscape.
1:29:57[Music]
1:30:05Imagine you are a product manager. Your
1:30:07product team has just completed user
1:30:09acceptance testing or UAT for a new
1:30:13product feature. The feedback and test
1:30:16results from real users are collected in
1:30:18a Microsoft Excel spreadsheet. To ensure
1:30:22the feature is ready for launch, the
1:30:24team needs to analyze this data to
1:30:26identify issues, understand user
1:30:28feedback, and prioritize necessary
1:30:31fixes. This is where effectively
1:30:34navigating UAT results in Excel becomes
1:30:37essential. Microsoft Excel is a widely
1:30:40used tool for managing UAT results,
1:30:44especially when feedback is collected
1:30:46through simple forms or templates. Its
1:30:49flexibility allows teams to track
1:30:51individual test cases, record outcomes,
1:30:54and gather comments. Most importantly,
1:30:57Excel provides features to analyze this
1:30:59data efficiently. Let's demonstrate how
1:31:02to review and analyze user acceptance
1:31:05testing results in a sample Excel
1:31:08spreadsheet. We will focus on
1:31:10identifying trends and prioritizing
1:31:13issues based on the data collected.
1:31:16The first step in analyzing UAT results
1:31:19is often to identify the tests that did
1:31:21not pass. We can use Excel's filtering
1:31:24feature to quickly focus on these failed
1:31:26test cases. Select the header row and
1:31:29apply a filter. Click the filter arrow
1:31:32in the pass fail status column. Uncheck
1:31:35the box next to pass to hide all past
1:31:38tests. This leaves only the test cases
1:31:41where users encountered issues. Now that
1:31:44we see only the failed tests, we need to
1:31:46understand the severity of these issues.
1:31:49The severity column helps us prioritize.
1:31:52We can filter by severity to focus on
1:31:55the most critical problems first. Click
1:31:58the filter arrow in the severity column.
1:32:00Select only high from the severity
1:32:02filter dropdown. This allows the team to
1:32:05immediately see the most impactful
1:32:07issues reported by users, which
1:32:10typically require urgent attention
1:32:12before launch. After reviewing the high
1:32:15severity failures, clear the filter from
1:32:17the severity column to see all failed
1:32:20tests again. We can then filter by
1:32:22medium severity to look at issues that
1:32:25are less critical but still important to
1:32:27address. Reading the comments and
1:32:30feedback provided by users in the
1:32:32comments J feedback column is also
1:32:35crucial. This qualitative data provides
1:32:38context about the issues and can reveal
1:32:41underlying usability problems or
1:32:43confusion points that numbers alone
1:32:45might not show. Look for recurring
1:32:48themes in the feedback. To get a quick
1:32:50overview of the distribution of pass
1:32:53fail statuses or severity levels, you
1:32:56can use simple counting formulas or a
1:32:58summary table. For example, in a cell
1:33:01outside the data range, you could use
1:33:03the count if function to count how many
1:33:06tests failed. This provides a simple
1:33:09summary count. For a more detailed
1:33:11breakdown, especially by severity or
1:33:14test scenario, a pivot table would be a
1:33:16powerful tool. But even simple filtering
1:33:18and manual review, are very effective in
1:33:21Excel. By filtering, sorting, and
1:33:24reviewing comments in your UAT results
1:33:26spreadsheet, you can identify key
1:33:28trends. Are many failures related to a
1:33:31specific feature area? Are users
1:33:34consistently confused by a particular
1:33:36workflow indicated by similar feedback?
1:33:39Identifying these patterns is vital
1:33:42based on the analysis. Prioritize the
1:33:44issues. High severity failures affecting
1:33:48core functionality need immediate
1:33:50attention. Medium severity issues should
1:33:52be addressed before launch if possible
1:33:55and low severity issues or enhancement
1:33:58requests can be considered for future
1:34:00updates. Document the decisions made for
1:34:03each identified issue. Effectively
1:34:06navigating UAT results in Excel helps
1:34:09product teams gain valuable insights
1:34:11into how real users interact with their
1:34:14product. This analysis directly informs
1:34:17necessary improvements to ensure a
1:34:19successful launch and a positive user
1:34:22experience.
1:34:23[Music]
1:34:34Ever had that sinking feeling when a
1:34:36brand new gadget glitches out or your
1:34:38favorite snack tastes off? That's where
1:34:40quality control comes in. In this video,
1:34:43you'll explore the art of proactive risk
1:34:45mitigation, how spotting problems early
1:34:48can save the day and your product's
1:34:49reputation. By the end of this video,
1:34:52you'll understand how to build a system
1:34:54of checks and balances to catch issues
1:34:56before they become major headaches.
1:34:59Wo there, Rita. Looks like we've got a
1:35:01bit of a situation here.
1:35:03>> I know, Quinn. It's like everything's
1:35:05falling apart.
1:35:07>> Don't worry. That's where quality
1:35:09control steps in. Think of quality
1:35:12control as a series of inspections along
1:35:14our assembly line. Rita, at each
1:35:17station, we carefully examine the
1:35:19product to ensure it meets our standards
1:35:21before it progresses to the next stage
1:35:22of production.
1:35:24>> So, it's not just about fixing things
1:35:26after they break.
1:35:28>> Exactly. It's about building quality
1:35:30into every step of the process. Remember
1:35:32that time a car company had to recall
1:35:34thousands of vehicles because of a
1:35:36faulty brake part or when a popular
1:35:38serial brand faced a major setback due
1:35:41to contamination?
1:35:42That's what can happen when quality
1:35:44control isn't proactive.
1:35:46>> That makes so much sense. But how do we
1:35:49actually do proactive risk mitigation?
1:35:52>> Well, it starts with understanding the
1:35:54potential risks at each stage of the
1:35:56process. Then we put measures in place
1:35:58to address those risks headon. It's like
1:36:01we're setting up alarms at every step so
1:36:03we know if something's not right. It's
1:36:06as if we're establishing a defense
1:36:07system around our product, safeguarding
1:36:10it against any potential quality issues.
1:36:12You got it, Rita. And quality control is
1:36:15an ongoing process. We're always
1:36:17learning, always improving our
1:36:19checkpoints. Controlling quality isn't
1:36:22just about fixing mistakes. It's about
1:36:24preventing them in the first place. By
1:36:26being proactive, you'll not only protect
1:36:29your product, but also build trust with
1:36:30your customers. And that's a recipe for
1:36:33success in any industry.
1:36:35Proactive quality control isn't just a
1:36:37good idea, it's essential. Now go out
1:36:40there and build those checkpoints.
1:36:43[Music]
1:36:53In this video, we will examine the
1:36:55journey of product development, an
1:36:57endeavor that aims to create valuable
1:36:59solutions for businesses. This path,
1:37:01though promising, presents its own set
1:37:03of challenges. Unexpected hurdles,
1:37:06shifts in market dynamics, and technical
1:37:08complications can threaten even the most
1:37:10well-conceived projects. However, risk
1:37:14management provides a framework to
1:37:15navigate these obstacles, maintaining
1:37:17product quality while minimizing
1:37:20disruptions. We will explore the various
1:37:22types of risks that arise, discuss
1:37:24strategies for addressing them, and
1:37:25consider how effective risk management
1:37:27contributes to product success and
1:37:29fulfills business requirements.
1:37:32Risk management does not eliminate all
1:37:33risks. Rather, it identifies and
1:37:36minimizes their impact. Preparedness
1:37:38through contingency planning increases
1:37:41the likelihood of successful launches
1:37:43and prevents delays.
1:37:45Common risks in product development
1:37:47include market, technical, financial,
1:37:49and operational risks. Market risks stem
1:37:53from evolving market conditions. For
1:37:55example, the development of an
1:37:56enterprise software tool faces
1:37:58challenges if Microsoft releases a
1:38:00comparable solution with advanced
1:38:02capabilities affecting demand. It
1:38:05requires thorough market research,
1:38:07competitor monitoring, trend analysis,
1:38:09and strategic flexibility. Technical
1:38:12risks include challenges like software
1:38:14bugs or integration problems. Imagine
1:38:17developing a new B2B application using
1:38:19Azure and encountering compatibility
1:38:21issues with existing systems.
1:38:24Close collaboration with a tech team.
1:38:26Rigorous testing and contingency plans
1:38:28are necessary to address these issues.
1:38:31Financial risks occur when costs exceed
1:38:33budgets or returns on investments fall
1:38:35short of expectations.
1:38:37This situation can arise when
1:38:39underestimating the cost of developing
1:38:41an AI tool using Azure machine learning.
1:38:44Establishing realistic budgets,
1:38:46monitoring expenses, and conducting
1:38:48regular financial reviews are vital to
1:38:51manage potential funding needs.
1:38:53Operational risks pertain to daily
1:38:55operations and can impact delivery or
1:38:57support. For instance, downtime in a
1:39:00cloud service like Azure can delay a
1:39:03software launch. Building strong
1:39:05partnerships, developing contingency
1:39:07strategies, and maintaining clear
1:39:09communication with stakeholders are
1:39:10essential. Beyond identifying risks,
1:39:13effective risk management involves
1:39:15strategic planning to mitigate them.
1:39:17Conduct regular in-depth risk
1:39:19assessments. Identify risks, evaluate
1:39:22their probability, and prioritize the
1:39:24most severe ones. Develop contingency
1:39:27plans for major risks outlining
1:39:29alternative actions. This may include
1:39:31securing backup technology suppliers or
1:39:34planning alternative project paths when
1:39:36utilizing Microsoft services.
1:39:38Continuously monitor projects for
1:39:39emerging risks. Maintain open
1:39:42communication with stakeholders,
1:39:43providing updates on progress and
1:39:44challenges. Adopt agile methodologies to
1:39:47provide flexibility in responding to
1:39:49changes. This enables quick pivots and
1:39:52minimizes the impact of unforeseen
1:39:54risks.
1:39:55Foster a culture of teamwork and
1:39:57communication. Encourage team members to
1:40:00express ideas and identify potential
1:40:02risks early. By actively managing risks,
1:40:05product quality is protected, potential
1:40:07disruptions are reduced, and the
1:40:09probability of successful launches is
1:40:10increased, especially when working with
1:40:12Microsoft products.
1:40:14It hinges on preparedness and
1:40:16adaptability.
1:40:18Effective risk management transforms
1:40:20risks into opportunities. By addressing
1:40:22risk proactively, trust is built,
1:40:25leadership is demonstrated, and a
1:40:27valuable role within the team is
1:40:28established.
1:40:30A proactive mindset transforms
1:40:32challenges into stepping stones toward
1:40:34success. Furthermore, consider the
1:40:36implementation of risk registers and
1:40:38regular reviews. A risk register acts as
1:40:41a central repository documenting
1:40:43identified risks, their potential impact
1:40:45and mitigation strategies. This tool
1:40:48provides a structured approach to risk
1:40:50management, allowing teams to track
1:40:51progress and assign responsibilities.
1:40:54Regular reviews of the risk register
1:40:56coupled with project status updates
1:40:58allow for real-time adjustments and
1:41:00proactive responses to emerging threats.
1:41:03In the context of modern product
1:41:04development, particularly when
1:41:06leveraging platforms like Azure,
1:41:08consider the implications of data
1:41:10security and compliance. Data breaches
1:41:13or non-compliance with regulations such
1:41:15as GDPR or HIPPA can lead to significant
1:41:17financial and reputational damage.
1:41:21Therefore, integrate robust security
1:41:23measures and compliance checks into the
1:41:25risk management framework. This includes
1:41:28regular security audits, data
1:41:30encryption, and adherence to industry
1:41:31best practices.
1:41:34Additionally, cultivate a learning
1:41:36culture within the team. Post- project
1:41:39reviews or retrospectives provide
1:41:41valuable insights into what worked and
1:41:43what didn't. This process facilitates
1:41:47continuous improvement and helps teams
1:41:49anticipate similar risks in future
1:41:51projects. Share lessons learned across
1:41:53the organization to build a collective
1:41:55knowledge base and enhance overall risk
1:41:57management capabilities. Finally,
1:42:00remember the paramount importance of
1:42:02engaging stakeholders early and often
1:42:04throughout the risk management process.
1:42:07Proactively involve key stakeholders in
1:42:09risk identification, assessment, and
1:42:12mitigation planning from the very
1:42:13beginning and maintain this engagement
1:42:16continuously.
1:42:19Their diverse perspectives and expertise
1:42:21contribute to a more comprehensive
1:42:23understanding of potential risks and
1:42:25help develop more effective strategies.
1:42:28By fostering open communication and
1:42:30collaboration, you create a shared sense
1:42:33of ownership and accountability, further
1:42:35strengthening the project's resilience.
1:42:38[Music]
1:42:45Welcome to this tutorial on how to
1:42:47systematically document, assess, and
1:42:49prioritize risks using Jira. Today, I'll
1:42:53walk you through how to create and
1:42:54manage a risk register in Jira, ensuring
1:42:57you stay ahead of potential issues that
1:42:59may affect your product's development
1:43:01and launch. By the end of this video,
1:43:03you'll understand how to document risks,
1:43:06assess their impact and likelihood, and
1:43:08prioritize them effectively so that your
1:43:11product meets user expectations, and
1:43:13delivers a seamless experience. Let's
1:43:16start by accessing Jira. If you've
1:43:18worked with Jira before, you know that
1:43:20it's a powerful tool for managing
1:43:22product development tasks and tracking
1:43:25progress. Today, we're going to use Jira
1:43:28to manage product risks in a risk
1:43:30register format. The first step is to
1:43:33create a risk register board in Jira.
1:43:36Click on create new project and choose
1:43:39the conbon template to organize risks
1:43:41visually. Name the project risk register
1:43:44for our product. Once the board is
1:43:47created, we'll set up columns that
1:43:49represent the different stages of risk
1:43:51management. Identified risks, all
1:43:54documented risks. Assessment, risks that
1:43:57need to be assessed for impact and
1:43:59likelihood. Prioritized
1:44:02risks that have been assessed and
1:44:04prioritized based on severity.
1:44:08Mitigation, risks with an active
1:44:10mitigation strategy. Resolved risks that
1:44:13have been addressed and closed. This
1:44:16column structure helps visualize the
1:44:18progress of each risk as it moves from
1:44:20identification to resolution.
1:44:23Documenting identified risks. Now that
1:44:26the board is set up, let's start adding
1:44:28risks. Each risk in the register is
1:44:31documented as a card in Jira, which
1:44:33allows you to track details such as the
1:44:35description, impact, likelihood, and
1:44:38status. Click create issue to add a new
1:44:41risk. Let's document a risk related to
1:44:44delays in feature development. In the
1:44:47description field, we'll write potential
1:44:49delay in feature X due to integration
1:44:51challenges. Make sure to include as much
1:44:54detail as possible, including potential
1:44:57causes and consequences.
1:44:59Next, add a priority level to the risk
1:45:02such as high, medium, or low based on
1:45:05its potential impact. This will help
1:45:08prioritize the risk later in the
1:45:10process. Once a risk is identified, the
1:45:13next step is to assess it. Click on the
1:45:16assessment column and drag the risk card
1:45:18from identified risks to assessment.
1:45:21Here you'll assess the likelihood and
1:45:23impact of the risk using a risk matrix
1:45:25approach. In Jira, you can customize
1:45:28fields to document these factors. For
1:45:32each risk, assign a score for likelihood
1:45:351 to 5. How likely is it that this risk
1:45:38will occur? impact one to five. If the
1:45:42risk occurs, how severe will the impact
1:45:45be on the project? For example, if
1:45:48there's a high chance of delays with
1:45:50significant consequences for the
1:45:51timeline, you might assign a likelihood
1:45:54of four and an impact of five. This
1:45:57gives the risk a high overall score and
1:46:00flags it for further attention. After
1:46:03assessing risks based on likelihood and
1:46:05impact, the next step is to prioritize
1:46:08them. Drag the risk card into the
1:46:11prioritized column. Risks with the
1:46:13highest scores based on their likelihood
1:46:15and impact should be prioritized first
1:46:18for mitigation. Use the priority levels
1:46:22identified earlier to properly attribute
1:46:24priority level after assessment. For
1:46:27example, the delay in feature
1:46:29development with a likelihood of four
1:46:31and an impact of five would be
1:46:34categorized as a high priority risk and
1:46:37flagged for immediate action. Once a
1:46:40risk has been prioritized, it's
1:46:42important to develop a mitigation
1:46:44strategy. Click on the prioritized risk
1:46:46card and add a comment or subtask that
1:46:49outlines specific actions to mitigate
1:46:52the risk. For example, to mitigate the
1:46:54risk of delays in feature development,
1:46:57you might add a task to increase
1:46:59development resources or to reassess the
1:47:02integration timeline. These strategies
1:47:05should be specific, actionable, and
1:47:08assigned to team members for
1:47:10accountability. As the product
1:47:12development progresses, you'll need to
1:47:14continuously monitor the status of
1:47:16risks. Jira makes it easy to track the
1:47:19status of each risk by viewing the
1:47:21overall board. Risks that are fully
1:47:24resolved can be moved to the resolved
1:47:26column. Make sure to update the risk
1:47:29status regularly, especially as
1:47:31mitigation strategies are implemented.
1:47:34You can also use Jira filters to view
1:47:37only unresolved risks or focus on high
1:47:40priority risks across multiple projects.
1:47:43Using a risk register in Jira allows you
1:47:46to systematically document, assess, and
1:47:49prioritize risks throughout the product
1:47:51development process. By effectively
1:47:54identifying and managing risks, you can
1:47:57prevent issues from escalating, ensure
1:48:00smoother project execution, and
1:48:02ultimately deliver a product that meets
1:48:04user expectations.
1:48:06[Music]
1:48:17In a professional kitchen, every dish is
1:48:19a masterpiece crafted with precision and
1:48:22care. Chefs rely on a combination of
1:48:24skill, experience, and meticulous
1:48:26planning to ensure consistent quality
1:48:28and delight their diners. Similarly, in
1:48:31the world of product development, the
1:48:33product manager plays a crucial role in
1:48:35orchestrating the creation of successful
1:48:37products.
1:48:40In this video, you'll step into the
1:48:42product manager's kitchen, exploring how
1:48:44control mechanisms can help you create
1:48:46products that consistently exceed
1:48:48expectations. You'll also recap some of
1:48:50the key takeaways from the lesson on
1:48:52proactive risk mitigation, emphasizing
1:48:54your role in establishing and
1:48:56maintaining effective control mechanisms
1:48:58to ensure product quality.
1:49:00>> Remember, consistency is key. Follow the
1:49:03recipe precisely and don't hesitate to
1:49:05ask if you have any questions.
1:49:08Just like a chef relies on a
1:49:09well-crafted recipe, a product manager
1:49:12utilizes control mechanisms to guide the
1:49:14product development process. These
1:49:17mechanisms ensure that everyone is
1:49:18aligned, expectations are clear, and
1:49:21potential risks are identified and
1:49:23addressed.
1:49:24>> Needs a touch more salt. We want every
1:49:26dish to be perfect.
1:49:29>> Control mechanisms also involve regular
1:49:31checks and balances throughout the
1:49:32development process. This includes
1:49:35gathering feedback, conducting user
1:49:36testing, and monitoring key performance
1:49:38indicators to ensure the product is on
1:49:41track and meeting its objectives. My
1:49:43diner said the food is incredible and
1:49:45every flavor is perfectly balanced.
1:49:48>> By implementing effective control
1:49:49mechanisms, you ensure that your product
1:49:51delivers a delightful experience to your
1:49:53customers, just like a perfectly
1:49:55executed dish satisfies a diner's
1:49:57pallet.
1:49:59Let's recap. As a product manager, you
1:50:02have a crucial role in establishing and
1:50:04maintaining control mechanisms
1:50:05throughout the product development
1:50:06process. Key takeaway one, identify and
1:50:10assess potential risks. You are the one
1:50:13who needs to foresee potential pitfalls
1:50:14and challenges that could impact your
1:50:16product success. Key takeaway two,
1:50:19develop and implement mitigation
1:50:21strategies. You need to create proactive
1:50:23plans to address those risks, ensuring
1:50:25they don't derail your product's
1:50:27development or launch. Key takeaway
1:50:29three, continuously monitor and evaluate
1:50:32progress. You must keep a watchful eye
1:50:34on the entire process, making
1:50:36adjustments as needed to keep everything
1:50:38on track. By embracing control
1:50:40mechanisms and taking ownership of the
1:50:42quality assurance process, you as the
1:50:44product manager become the head chef of
1:50:46your product's journey, ensuring its
1:50:48success every step of the way. So go out
1:50:51there, create culinary masterpieces, and
1:50:53delight your customers with exceptional
1:50:55products.
1:50:58[Music]
1:51:08Ever felt that rush after launching a
1:51:10new product? The excitement, the relief.
1:51:12But hold on, the journey doesn't end
1:51:14there. In this video, you'll explore the
1:51:17vital role of customer feedback after a
1:51:19product launch, showcasing how it fuels
1:51:22continuous improvement and helps build a
1:51:24loyal user base. Phew. Launch day went
1:51:27smoothly. Now what?
1:51:29>> Hey, Taylor. Congrats on the launch. You
1:51:32and the team did an amazing job.
1:51:34>> Thanks, Jeffrey. It was a lot of work,
1:51:36but so worth it.
1:51:38>> Absolutely. But remember, the launch is
1:51:40just the beginning. It's time to shift
1:51:42gears and start listening.
1:51:44>> Listening
1:51:45>> to your users, Taylor. Their feedback is
1:51:48invaluable. This is where the feedback
1:51:50loop comes in. It's a continuous process
1:51:53of gathering, analyzing, and acting on
1:51:55customer feedback. Think of it like a
1:51:58cycle. You gather feedback, analyze it,
1:52:00make changes based on what you learn,
1:52:02and then gather more feedback to see how
1:52:04those changes are working.
1:52:07>> Okay, I'm starting to get it. But how do
1:52:09I gather feedback in the first place?
1:52:11>> There are so many ways. Surveys, user
1:52:14interviews, social media. Even just
1:52:16observing how people use your product
1:52:18can tell you a lot. Remember, every
1:52:21piece of feedback is valuable. Whether
1:52:23it's positive or negative, it all helps
1:52:25you build a better product. Once you've
1:52:27gathered feedback, it's time to analyze
1:52:29it. Look for patterns, identify pain
1:52:32points, and prioritize what needs
1:52:34attention first. Analyzing feedback
1:52:36helps you understand your users's needs.
1:52:39Based on your analysis, it's time to
1:52:41make changes, fix those bugs, improve
1:52:43features, maybe even add new ones that
1:52:45your users are asking for. Making
1:52:48changes turns feedback into action. And
1:52:51then you start all over again. Gather
1:52:53more feedback, analyze, make changes.
1:52:56It's a neverending cycle of improvement.
1:52:59>> So the feedback loop is key to keeping
1:53:01my product relevant and my users happy.
1:53:04>> Exactly, Taylor. Happy users are loyal
1:53:07users. They'll help your product grow.
1:53:09So there you have it. The feedback loop.
1:53:12It's about building a relationship with
1:53:13your users, understanding their needs,
1:53:16and creating a product that truly makes
1:53:18their lives better. Remember, the launch
1:53:20is just the beginning. The real journey
1:53:22starts when you close the feedback loop.
1:53:26[Music]
1:53:33Welcome to this tutorial on how to use
1:53:35product board to efficiently collect,
1:53:38organize, and track customer feedback to
1:53:41improve your product and resolve issues
1:53:43faster. Today, I'll show you how product
1:53:46board helps you transform customer
1:53:48insights into actionable tasks that
1:53:51drive product improvement. By the end of
1:53:53this video, you'll understand how to use
1:53:55Product Board to centralize feedback,
1:53:57prioritize issues, and track
1:53:59resolutions, ensuring that your product
1:54:02evolves in line with customer
1:54:04expectations.
1:54:05Let's get started by accessing product
1:54:07board. If you're new to Product Board,
1:54:10it's a tool that allows you to capture
1:54:11customer feedback from various sources
1:54:14and organize it in a way that helps you
1:54:16prioritize product enhancements.
1:54:19Step one, collecting customer feedback.
1:54:22The first step in managing feedback with
1:54:24product board is to collect feedback
1:54:26from multiple sources. Product board
1:54:29allows you to gather input from emails,
1:54:32support tickets, user interviews, and
1:54:34even integrations with tools like
1:54:36intercom and Zenesk.
1:54:38In this demonstration, we're pulling
1:54:40customer feedback from a support channel
1:54:42and integrating it into product board.
1:54:45To start, click on insights in the lefth
1:54:48hand menu, which is where all customer
1:54:50feedback is stored. Here we see feedback
1:54:54from users about a feature in our
1:54:55product that isn't working as expected.
1:54:58For example, several customers have
1:55:01reported an issue with the task
1:55:03assignment feature in a workflow tool.
1:55:05You can see their comments and the
1:55:07feedback they've submitted all in one
1:55:09place.
1:55:11To ensure no feedback gets lost, product
1:55:14board allows you to categorize and tag
1:55:16feedback as it comes in. Let's tag all
1:55:19the comments related to the task
1:55:21assignment issue as task assignment
1:55:24problem for easy reference later. Step
1:55:27two, organizing feedback. After
1:55:30collecting feedback, the next step is to
1:55:32organize it. In product board, you can
1:55:35group similar feedback together to
1:55:37identify common themes. This helps you
1:55:40see which areas of the product are
1:55:42receiving the most customer attention.
1:55:45For example, under the task assignment
1:55:47problem tag, we can group all related
1:55:49feedback so it is tied to a single
1:55:52feature. This will help us later when we
1:55:54decide how to prioritize this issue
1:55:56compared to others. Product boards
1:55:59organization tools make it easy to sort
1:56:01through hundreds of feedback entries and
1:56:04identify which issues are most pressing.
1:56:07Step three, prioritizing issues based on
1:56:10feedback. Now that our feedback is
1:56:12collected and organized, we can begin to
1:56:15prioritize which issues to address first
1:56:18in product board. Every piece of
1:56:20feedback can be linked to a specific
1:56:22feature or product area. Let's take the
1:56:25task assignment issue we've been looking
1:56:27at. Based on the volume of feedback and
1:56:30the severity of the problem, we decide
1:56:32to prioritize it as high. To do this,
1:56:35navigate to our prioritization board and
1:56:38find the relevant feature, task
1:56:40management. Here you can see how much
1:56:43feedback has been collected for this
1:56:45feature and assign a priority level. You
1:56:48can also score feedback based on
1:56:50customer impact and business value to
1:56:53help determine what should be worked on
1:56:55first. Step four, tracking issue
1:56:58resolution. Once feedback is
1:57:00prioritized, it's time to track issue
1:57:03resolution. Product board allows you to
1:57:05create a road map that outlines when
1:57:07certain issues or features will be
1:57:09addressed. For instance, after marking
1:57:12the task assignment issue as high
1:57:13priority, we'll add it to the next
1:57:15product sprint and link it to our
1:57:17development team's tasks. Product board
1:57:20is highly collaborative and you can
1:57:22share this road map with your
1:57:24engineering, design, and marketing teams
1:57:26to ensure everyone is aligned on what's
1:57:28being worked on and when. To track
1:57:31progress, you can monitor feedback
1:57:33alongside your road map. As the
1:57:36development team works on fixing the
1:57:38task assignment feature, you'll be able
1:57:40to update the status of the issue within
1:57:42Product Board and notify customers when
1:57:45it has been resolved.
1:57:47Step five, closing the feedback loop. An
1:57:51essential part of managing customer
1:57:53feedback is closing the loop with your
1:57:55customers. Once an issue is resolved or
1:57:58a feature is improved, it's important to
1:58:00communicate that back to the users who
1:58:02submitted feedback. In product board,
1:58:05you can provide feedback using the
1:58:07portal to show customers the status of
1:58:09features and use it to compose updates
1:58:12to customers who have linked insights
1:58:14for that feature. This lets them know
1:58:17that their feedback has been heard and
1:58:19acted upon, increasing customer
1:58:21satisfaction and loyalty.
1:58:24For example, after fixing the task
1:58:26assignment issue, we'll update the
1:58:28status of the idea in the portal and
1:58:31compose an update to those users who had
1:58:33sent feedback.
1:58:35Step six, reviewing feedback trends over
1:58:39time. Product board helps you analyze
1:58:41feedback trends to identify areas of
1:58:44improvement. By tracking which features
1:58:47consistently receive the most feedback,
1:58:49you can determine which aspects of your
1:58:52product need more attention. Let's say
1:58:54the task assignment feature repeatedly
1:58:56comes up in feedback even after an
1:58:58initial fix. This may indicate a larger,
1:59:01more systemic issue that needs to be
1:59:03addressed with a broader redesign.
1:59:06Tracking these trends allows you to
1:59:07allocate resources efficiently and
1:59:10ensure continuous product improvement.
1:59:13Conclusion: Managing customer feedback
1:59:15effectively with Product Board ensures
1:59:18that your product continually evolves to
1:59:20meet user needs. By collecting,
1:59:23organizing, and prioritizing feedback
1:59:25and tracking the resolution process, you
1:59:28can deliver a better user experience and
1:59:31maintain customer satisfaction.
1:59:33[Music]
1:59:40Welcome to the ongoing journey of
1:59:42product success where we'll explore the
1:59:44critical importance of continuous
1:59:45monitoring and analysis after your
1:59:48products launch. Meet Clay. He's
1:59:50passionate about helping people create
1:59:52sustainable and energyefficient homes.
1:59:55Klay's team recently launched their
1:59:56smart home system and initial sales have
1:59:58been promising. But Klay knows that the
2:00:01real work is just beginning. It's
2:00:02exciting to see people embracing our
2:00:04product, but we can't just sit back and
2:00:07relax. We need to understand how it's
2:00:09performing in the real world and make
2:00:11sure we're continuously improving.
2:00:13Clay's right. Product success isn't a
2:00:16oneanddone deal. It's about constantly
2:00:18evaluating, learning, and adapting. Key
2:00:21performance indicators or KPIs are the
2:00:24vital signs of your product. They tell
2:00:26you how your product is performing,
2:00:28where it's excelling, and where there's
2:00:29room for improvement.
2:00:31Absolutely. It's like having a health
2:00:33checkup for your product. KPIs give us
2:00:36the pulse on what's working and what
2:00:38needs attention.
2:00:39>> By tracking and analyzing KPIs, you'll
2:00:41gain valuable insights into how your
2:00:43product is being used and how it's
2:00:45impacting your customers. It's like
2:00:47having a window into their world,
2:00:49observing their behaviors and
2:00:50preferences firsthand.
2:00:52>> Exactly. It's like having a direct line
2:00:55to our users, understanding their needs
2:00:57and pain points without having to be in
2:00:59their living rooms. We can see which
2:01:01features are resonating, which ones are
2:01:03being ignored, and where users might be
2:01:05getting frustrated or dropping off.
2:01:08>> These insights can help you identify
2:01:09areas for improvement, uncover hidden
2:01:12opportunities, and make datadriven
2:01:14decisions that will fuel your product's
2:01:15growth.
2:01:16>> That's the power of data. It helps us
2:01:18move beyond guesswork, and make informed
2:01:20decisions that truly benefit our users
2:01:23and drive our product forward.
2:01:25>> Remember, the journey of product success
2:01:27is an ongoing one. By continuously
2:01:30monitoring and analyzing your product's
2:01:31performance, you can ensure that it
2:01:33continues to meet the needs of your
2:01:35customers and remains a leader in the
2:01:36market. With the right data and
2:01:38insights, we can continue to evolve our
2:01:40product and make a real difference in
2:01:42people's lives.
2:01:45[Music]
2:01:47Imagine
2:01:49[Music]
2:01:52you are a product manager who has just
2:01:54overseen the successful launch of a new
2:01:56enterprise software solution. You need
2:01:59to gauge how the product is performing.
2:02:02To gain clear insights into user
2:02:04engagement and overall success, you will
2:02:07utilize the power of PowerBI to track
2:02:10key performance indicators.
2:02:12This demonstration will guide you
2:02:14through setting up and monitoring these
2:02:16crucial metrics.
2:02:18As a product manager, you need to
2:02:20understand if the launch was successful
2:02:22and how users are engaging with the new
2:02:24features. Tracking the right KPIs in
2:02:28PowerBI can provide you with this
2:02:30information. To begin, you need to
2:02:32connect PowerBI to the data source that
2:02:35contains our product usage information.
2:02:38This could be a database, an analytics
2:02:40platform, or another system where data
2:02:42about user interactions and product
2:02:45performance is stored. In this
2:02:47demonstration, the data has already been
2:02:50imported. The first KPI you will track
2:02:53is the number of active users. This
2:02:56tells you how many unique individuals
2:02:58are using our product over a specific
2:03:00period. You will start by creating a
2:03:03visual to show the trend of monthly
2:03:05active users. Drag the activity date
2:03:08field to the axis. Well, you will then
2:03:10select the appropriate time period. Now,
2:03:13drag the user ID field to the values.
2:03:16Well, PowerBI will likely count the
2:03:19number of user IDs. This line chart now
2:03:23shows us the trend of active users over
2:03:26time. We can see if user engagement is
2:03:28growing, declining, or staying stable.
2:03:32This is a fundamental metric for
2:03:34understanding product adoption. Next,
2:03:37you might want to understand which
2:03:38features are being used the most. You
2:03:41can create a bar chart to visualize
2:03:43feature usage. In the visualizations
2:03:46pane, click on the bar chart icon. Drag
2:03:49the feature name field to the yaxis.
2:03:51Well, drag the user ID field to the
2:03:54values well on the x-axis. Again, ensure
2:03:58it is set to count distinct. This bar
2:04:01chart displays the number of unique
2:04:03users who have used each feature. You
2:04:06can sort this chart to see the most
2:04:08popular features at the top. Click on
2:04:10the three dots in the top right corner
2:04:12of the chart. Then select sort access
2:04:15and choose count of user ID. Ensure the
2:04:19sorting order is descending.
2:04:21Understanding feature usage helps you
2:04:23prioritize development efforts and
2:04:26identify areas where you might need to
2:04:28provide more user guidance or make
2:04:30improvements. Another important KPI is
2:04:34user retention. For a simple comparison,
2:04:37create two card visuals. For the first
2:04:39card, drag user ID to the fields well
2:04:42and select count distinct. Then drag
2:04:45activity date to the filters on this
2:04:47visual pane and filter to show data for
2:04:50the previous full month. Title this card
2:04:53active users last month. For the second
2:04:56card, repeat the process, but filter the
2:04:59activity date to show data for the
2:05:01current full month and title it active
2:05:03users this month. Comparing these two
2:05:06numbers provides a basic understanding
2:05:07of user retention by seeing how many
2:05:10active users from the previous month are
2:05:12also active this month. Here we see that
2:05:15there are no users this month out of
2:05:17seven that we had last month. You can
2:05:20also track the average session duration.
2:05:23This metric indicates how engaged users
2:05:25are with the product during each
2:05:27session. You can create a card visual to
2:05:30display this. PowerBI is a powerful tool
2:05:34for setting up and monitoring key
2:05:36product metrics. By connecting to your
2:05:39data, creating relevant visualizations,
2:05:41and building dashboards, you can gain a
2:05:44comprehensive understanding of your
2:05:46product's performance and user
2:05:48engagement.
2:05:50[Music]
2:05:59Welcome back. It's time to recap our
2:06:02journey through navigating the
2:06:03post-launch landscape. Throughout this
2:06:05lesson, we've explored the critical
2:06:07phase that comes after a product launch,
2:06:10emphasizing the importance of continuous
2:06:12monitoring and analysis.
2:06:14>> Remember that feeling of accomplishment
2:06:16after launching your product. That was a
2:06:18major milestone, but it's really just
2:06:21the beginning. Now, the real adventure
2:06:23begins. Navigating the post-launch
2:06:26landscape and ensuring your product
2:06:28thrives. We've learned that navigating
2:06:30this landscape requires a reliable
2:06:33compass, your key performance
2:06:35indicators, or KPIs. You've gained
2:06:37valuable insights into essential metrics
2:06:40that provide a clear picture of your
2:06:42product's health and performance.
2:06:43>> These KPIs are our guideposts, helping
2:06:46us understand how users are discovering
2:06:49and interacting with our product. Are we
2:06:51attracting new users effectively? Are
2:06:54they engaging with the features? Are
2:06:56they finding value and staying with us?
2:06:58We've explored the significance of
2:07:00tracking and analyzing these essential
2:07:02metrics. You've learned how to interpret
2:07:04the data and extract meaningful insights
2:07:07that drive product improvement.
2:07:09>> These metrics tell a story. They reveal
2:07:12what's working well and where we need to
2:07:14focus our attention. It's about using
2:07:17data to make informed decisions and
2:07:19steer our product toward success.
2:07:24We also explored tools for visualizing
2:07:26and analyzing product performance data.
2:07:29You've discovered how to use its
2:07:31capabilities to track key performance
2:07:33indicators, KPIs, and gain a deeper
2:07:36understanding of your product's health.
2:07:38>> Looker allows us to keep a close eye on
2:07:40our KPIs like user engagement,
2:07:43retention, and revenue. By visualizing
2:07:46these metrics in clear and insightful
2:07:48ways, we can quickly identify areas of
2:07:51strength in areas that need improvement.
2:07:54>> We've highlighted the importance of
2:07:55digging deeper into data to uncover
2:07:58meaningful insights. You've learned to
2:08:00combine quantitative data with
2:08:02qualitative feedback for a holistic
2:08:04understanding of your users.
2:08:06>> Customer feedback is key. It adds
2:08:09context to the data and helps us
2:08:11understand user behavior. By combining
2:08:14both, we make better decisions that
2:08:16resonate with our users.
2:08:18>> As we wrap up this recap, remember that
2:08:20the post-launch journey is an ongoing
2:08:22process of learning and optimization. By
2:08:25continuously monitoring, analyzing, and
2:08:28adapting, you can ensure your product
2:08:30thrives in the ever evolving market
2:08:32landscape.
2:08:34[Music]
2:08:44Curious how to turn customer voices into
2:08:46a powerful tool for product improvement?
2:08:49In the world of product management,
2:08:51listening isn't just polite. It's
2:08:53essential for creating products people
2:08:55truly love. Today, we'll learn how to
2:08:58gather and interpret customer feedback,
2:09:00empowering you to create a smart home
2:09:03energy management system that meets the
2:09:05needs of users. Meet Luna, a product
2:09:08manager driven by a passion for
2:09:10sustainable living. Luna's team has
2:09:12developed a cuttingedge smart home
2:09:14energy system, but they're eager to make
2:09:16it even better.
2:09:17>> We've poured our hearts into this
2:09:19product, but the real test is what our
2:09:21users think. Their feedback is our most
2:09:23valuable resource.
2:09:25>> Luna understands that the key to product
2:09:27success lies in understanding the people
2:09:30who use it. Customer feedback provides a
2:09:32window into their experiences,
2:09:34frustrations, and desires. By actively
2:09:37listening to their voices, you gain
2:09:39invaluable insights into their
2:09:41experiences, frustrations, and
2:09:44unfulfilled desires. Imagine your smart
2:09:47home system has a complex setup process.
2:09:50Users express frustration in their
2:09:52feedback. This insight allows you to
2:09:54redesign the setup experience, making it
2:09:57simple and intuitive.
2:09:59>> That's so true. We recently simplified
2:10:01our systems setup based on user feedback
2:10:04and it's made a world of difference in
2:10:05their initial experience.
2:10:07>> Or perhaps users are requesting a
2:10:09feature to track their carbon footprint.
2:10:11By actively listening to their feedback,
2:10:14you uncover a valuable opportunity to
2:10:16enhance your product's sustainability
2:10:18appeal.
2:10:19>> Absolutely. We're always looking for
2:10:21ways to make our product more
2:10:22eco-friendly.
2:10:24Customer feedback helps us prioritize
2:10:26features that align with their values
2:10:28and ours. Listen and learn will equip
2:10:30you with the skills to gather customer
2:10:32feedback effectively through various
2:10:35channels. You'll learn how to analyze
2:10:37this feedback to identify patterns,
2:10:39trends, and actionable insights.
2:10:42Additionally, you'll gain the ability to
2:10:44prioritize improvements based on user
2:10:46needs and business goals and ultimately
2:10:49transform feedback into product
2:10:51enhancements that delight your
2:10:53customers.
2:10:55By truly listening to our users, we're
2:10:57building a product that not only meets
2:10:58their needs, but also inspires them to
2:11:00live more sustainably.
2:11:04[Music]
2:11:14In this video, we will transform
2:11:16customer feedback into a strategic
2:11:18roadmap for product improvement,
2:11:20focusing on changes that provide the
2:11:22most value. We will explore how to
2:11:25analyze feedback, categorize it
2:11:27effectively, and make informed decisions
2:11:30on prioritizing improvements.
2:11:32Understanding and acting on customer
2:11:34feedback is essential in enterprise
2:11:37software. In B2B environments, each
2:11:40change impacts efficiency and
2:11:42productivity across an organization.
2:11:44Imagine receiving feedback from a
2:11:46company's IT department using a tool
2:11:49like Microsoft Teams. Some issues affect
2:11:52collaboration while others suggest
2:11:54desired features. As a product manager,
2:11:57your role involves filtering feedback to
2:12:00prioritize changes with the most
2:12:02significant impact. This requires a
2:12:04combination of analysis, strategic
2:12:07thinking, and effective communication.
2:12:10Begin by categorizing feedback to
2:12:12organize information and identify common
2:12:15themes. In enterprise software, typical
2:12:18categories include technical issues that
2:12:21hinder functionality, feature requests
2:12:23for additional capabilities, usability
2:12:26concerns about user experience, and
2:12:29general suggestions from users. For
2:12:32example, an IT admin might report,
2:12:34"Microsoft Teams experiences latency
2:12:37during peak hours," indicating a
2:12:39technical issue that requires urgent
2:12:41attention. Another might request, can we
2:12:44integrate AI features for meeting
2:12:46transcriptions? Initiating a feature
2:12:48request. Usability issues like the
2:12:51dashboard are difficult to navigate and
2:12:54highlight areas for improvement.
2:12:56Positive feedback like the tool
2:12:58streamlines our workflow and effectively
2:13:00boosts team morale.
2:13:04By categorizing feedback, you can
2:13:07recognize patterns and prioritize areas
2:13:09needing attention. Once categorized,
2:13:13prioritize improvements strategically,
2:13:15similar to planning a journey. Assess
2:13:18potential value against the effort
2:13:20required. High value, loweffort
2:13:23improvements should rank high on the
2:13:25priority list. Evaluate how an issue
2:13:28impacts users and consider its
2:13:30frequency. High impact, highfrequency
2:13:33issues often require immediate action.
2:13:36Additionally, align user satisfaction
2:13:38with business objectives. Some features
2:13:41that drive revenue or engagement may
2:13:43take precedence even if they're not
2:13:45frequently requested.
2:13:48Returning to our Microsoft Teams
2:13:49example, high impact, highfrequency
2:13:52issues like video call disruptions
2:13:55require immediate attention. Meanwhile,
2:13:58requests for autogenerated summaries
2:14:00enhance user experience for a niche
2:14:02segment and may be included in the
2:14:04future roadmap. Prioritization is not a
2:14:08one-sizefits-all approach. Select a
2:14:11framework that aligns with your context,
2:14:13goals, and available resources. Once
2:14:16feedback is prioritized, take action.
2:14:19Develop clear steps to address feedback,
2:14:22including timelines and resource
2:14:24allocation. Keep users informed about
2:14:27upcoming changes to demonstrate
2:14:29transparency and build trust.
2:14:32Product management is a continuous
2:14:34journey. Continue gathering feedback and
2:14:36refining solutions to meet user needs
2:14:39effectively. In our enterprise software
2:14:41example, your action plan might include
2:14:44resolving call drop issues by assigning
2:14:46them to development for an immediate
2:14:48fix. Autogenerating summaries requires
2:14:52investigating feasibility and adding
2:14:54them to the road map if viable.
2:14:56Improving UI navigation involves
2:14:59collaborating with design to enhance
2:15:01usability.
2:15:03Addressing customer needs is an ongoing
2:15:05process of improvement. By listening to
2:15:08users and refining your product, you
2:15:10create something they depend on. To
2:15:13further enhance your approach, implement
2:15:16a feedback loop. This involves not only
2:15:18collecting and acting upon feedback, but
2:15:21also communicating the outcomes to
2:15:23users. Informing them about changes
2:15:26based on their input reinforces the
2:15:28value of their contributions and
2:15:30promotes a sense of partnership.
2:15:32Transparency builds loyalty and
2:15:34encourages ongoing engagement. For
2:15:37instance, after resolving the Microsoft
2:15:40Teams latency issue, send a notification
2:15:42detailing the fix and its expected
2:15:44impact. Similarly, when progress is made
2:15:48on the autogenerated summaries feature,
2:15:50share updates about the development
2:15:52timeline. Keeping users informed
2:15:55maintains their investment in the
2:15:57product's evolution.
2:15:59Additionally,
2:16:01proactively gather feedback rather than
2:16:03relying solely on incoming reports.
2:16:06Conduct surveys, organize focus groups,
2:16:09or engage in direct conversations. These
2:16:12efforts can uncover hidden pain points
2:16:14and unmet needs that might not surface
2:16:16through standard feedback channels.
2:16:20Regularly review your prioritization
2:16:22framework. As your product evolves and
2:16:25user needs change, your criteria for
2:16:27evaluating feedback must adapt. This
2:16:30keeps you aligned with business
2:16:32objectives and ensures you continue
2:16:34delivering value to users. The goal is
2:16:37not just to fix problems, but to create
2:16:39a product that anticipates and exceeds
2:16:42user expectations.
2:16:44[Music]
2:16:54Welcome back. It's time to recap our
2:16:57journey in feedback as fuel. Throughout
2:16:59this lesson, we've explored the power of
2:17:01customer feedback in driving product
2:17:02improvement and fostering customer
2:17:04loyalty.
2:17:05>> Remember that feeling of satisfaction
2:17:07when you launch a new product. Well, the
2:17:10journey doesn't end there. Customer
2:17:12feedback is the fuel that keeps our
2:17:14product engine running smoothly and
2:17:16efficiently. We've learned that customer
2:17:18feedback comes from a variety of
2:17:20sources, both direct and indirect.
2:17:23You've gained valuable insights into
2:17:24identifying these channels and utilizing
2:17:26them effectively to gather a
2:17:28comprehensive understanding of your
2:17:29users needs and experiences.
2:17:33Whether it's through surveys, feedback
2:17:35forms, social media monitoring, or user
2:17:38interviews, each channel provides a
2:17:40unique perspective on our product and
2:17:42our users.
2:17:44We've explored the importance of
2:17:45effective communication and active
2:17:47listening techniques. You've learned how
2:17:49to extract valuable insights from
2:17:51customer feedback, even when it's not
2:17:53explicitly stated.
2:17:56It's not just about collecting feedback.
2:17:58It's about truly listening and
2:18:00understanding the message behind the
2:18:01words. What are the underlying needs,
2:18:04frustrations, and desires of our users?
2:18:07We also looked at the process of
2:18:09managing and analyzing feedback, showing
2:18:11you how to use tools to effectively
2:18:13categorize feedback, prioritize
2:18:15concerns, and address them in a way that
2:18:17improves the user experience, and
2:18:19fosters customer satisfaction.
2:18:21This tool helps us make sense of the
2:18:23feedback we receive. We can identify
2:18:25trends, prioritize issues, and ensure
2:18:28that our resources are focused on the
2:18:30most impactful improvements.
2:18:32>> We've emphasized the importance of
2:18:34closing the feedback loop. You've
2:18:36learned how to acknowledge customer
2:18:37feedback, share updates on product
2:18:39improvements, and foster a sense of
2:18:41community and engagement.
2:18:44>> It's crucial to let our customers know
2:18:45that we're listening, and that their
2:18:47feedback matters. By closing the loop,
2:18:50we build trust, strengthen
2:18:52relationships, and create a loyal
2:18:54customer base.
2:18:55>> As we wrap up this recap, remember that
2:18:57customer feedback is a gift. It's an
2:19:00opportunity to learn, grow, and create a
2:19:02product that truly resonates with your
2:19:03users. By embracing feedback as fuel, we
2:19:07can continuously improve our product,
2:19:09exceed customer expectations, and drive
2:19:12long-term success.
2:19:14[Music]
2:19:24Welcome to the never-ending journey,
2:19:26where we'll explore the dynamic nature
2:19:28of the product life cycle and the
2:19:29importance of continuous improvement to
2:19:31stay ahead in the competitive landscape.
2:19:34Meet Hana, a product manager passionate
2:19:36about creating a smart home energy
2:19:38management system that empowers people
2:19:40to live more sustainably. Hannah's team
2:19:42has successfully launched their product,
2:19:44but she knows the work is far from over.
2:19:47Launching our product was a thrill, but
2:19:49the real excitement lies in what comes
2:19:51next. We need to keep pushing
2:19:53boundaries, adapting to new technologies
2:19:55and user expectations.
2:19:58>> Hannah understands that in today's
2:20:00fast-paced market, stagnation is not an
2:20:02option. To remain relevant and
2:20:04competitive, your product needs to
2:20:06constantly adapt and grow. The key is to
2:20:09constantly monitor your product's
2:20:10performance, gathering insights from
2:20:12data analytics, and most importantly,
2:20:14listening to the voices of your users.
2:20:17Data tells a compelling story, revealing
2:20:19not just how users interact with your
2:20:21product, but also which features they
2:20:23truly love and where they might be
2:20:24encountering friction or struggling to
2:20:26achieve their goals.
2:20:28We use data to track everything from
2:20:30energy savings to user engagement. It
2:20:33helps us spot trends and identify areas
2:20:35for improvement.
2:20:38But data is only part of the equation.
2:20:40Direct feedback from your users provides
2:20:42invaluable qualitative insights, giving
2:20:45you a deeper understanding of their
2:20:46experiences, motivations, and pain
2:20:48points.
2:20:50>> User feedback is invaluable. It helps us
2:20:53see our product from their perspective
2:20:54and identify areas where we can make it
2:20:57even better.
2:20:59>> Just as a species adapts to its
2:21:00environment, your product must adapt to
2:21:02the changing needs and expectations of
2:21:04your users. By actively seeking and
2:21:07analyzing feedback, you can uncover
2:21:09opportunities for enhancements and new
2:21:11features that will keep your customers
2:21:12engaged and excited. It's an ongoing
2:21:15process, but that's what makes it so
2:21:17exciting. We're constantly learning,
2:21:20improving, and building a product that
2:21:22truly makes a difference. Remember, the
2:21:25product life cycle is a neverending
2:21:27journey of growth and adaptation.
2:21:29Embrace the challenge and let's shape
2:21:31the future of your product together.
2:21:34[Music]
2:21:43In this video, let's discuss how you can
2:21:45chart your product's future. The product
2:21:48roadmap is an essential tool that guides
2:21:50this journey, especially in enterprise
2:21:52software and B2B settings. Whether
2:21:55you're enhancing Microsoft 365
2:21:57capabilities or planning a new
2:21:59integration with Microsoft Azure, a
2:22:02product roadmap helps you navigate your
2:22:04product's life cycle with confidence.
2:22:07Imagine you are launching a new update
2:22:08for a cloud management system. Without a
2:22:11map, you will likely waste time and
2:22:14resources. A product roadmap provides
2:22:16that map. It outlines your strategic
2:22:19vision and highlights milestones,
2:22:21features, and enhancements. This helps
2:22:24you communicate strategy to stakeholders
2:22:26effectively.
2:22:28In B2B environments, aligning teams
2:22:31around shared goals can be challenging.
2:22:33A road map makes certain everyone
2:22:35understands the vision and priorities,
2:22:38helping to avoid chasing every new
2:22:40feature idea without a clear strategy.
2:22:42Consider an enterprise software product
2:22:44with epics like enhanced collaboration
2:22:47tools or improved security features.
2:22:50Themes under these epics might include
2:22:52integrate with Microsoft Teams or
2:22:54enhanced data encryption, each broken
2:22:57down into specific user stories and
2:22:59technical requirements.
2:23:01Yet, a road map is more than a list of
2:23:04features. It incorporates your strategic
2:23:06vision aligning with market trends and
2:23:09user needs and answers critical
2:23:11questions. Where do we want this project
2:23:14to be next year? What features will help
2:23:16us achieve these goals? How do we
2:23:19prioritize initiatives strategically?
2:23:22Creating and managing a product roadmap
2:23:24involves defining your vision, gathering
2:23:27stakeholder input, prioritizing
2:23:29initiatives, creating a visual
2:23:31representation, and communicating it
2:23:34effectively. For example, collaborating
2:23:37with sales, marketing, and engineering
2:23:39teams make certain it reflects diverse
2:23:42perspectives.
2:23:45Remember to monitor progress and adjust
2:23:47as needed. Your road map should evolve
2:23:50alongside product and market changes.
2:23:53Balance flexibility with focus, staying
2:23:56agile but true to your vision. Let's
2:23:59apply this to an enterprise software
2:24:01context. As you collect user feedback,
2:24:04you might find new automation or
2:24:06integration opportunities. Adjust your
2:24:09priorities based on technology
2:24:10advancements or market shifts.
2:24:13A flexible roadmap makes certain your
2:24:15product stays relevant and valuable to
2:24:18users. This strategic vision guides
2:24:21collaboration and decisionmaking.
2:24:24Remember, a road map is dynamic.
2:24:27Prioritize wisely and keep it adaptable
2:24:30to make certain your product success.
2:24:32Building upon the foundation of a
2:24:34well-defined product roadmap, let's
2:24:37delve deeper into some practical aspects
2:24:39of its implementation and ongoing
2:24:41management.
2:24:42Once you have articulated your vision
2:24:44and gathered input, the crucial stage of
2:24:47prioritization begins.
2:24:49Various frameworks can assist in this
2:24:51process such as the Rice scoring system,
2:24:55reach, impact, confidence, effort, or
2:24:59the Moscow method must have, should
2:25:02have, could have, won't have. Applying
2:25:06these frameworks helps you objectively
2:25:08assess each potential feature or
2:25:10initiative against your strategic goals
2:25:12and available resources. This ensures
2:25:15that your team focuses on delivering the
2:25:17most impactful and valuable updates
2:25:20first.
2:25:22Visualizing your road map is another
2:25:24vital step. A clear and easily
2:25:27understandable visual representation,
2:25:29whether it's a simple timeline or a more
2:25:31sophisticated Gant chart facilitates
2:25:34communication and alignment across
2:25:36different teams and stakeholders.
2:25:38Regularly sharing and discussing the
2:25:40roadmap promotes transparency and allows
2:25:43for timely feedback and adjustments.
2:25:46Consider using dedicated product
2:25:47management tools that offer
2:25:49collaborative features and version
2:25:51control to keep everyone informed about
2:25:53the latest iteration of the plan.
2:25:56Furthermore, the cadence of reviewing
2:25:58and updating your road map is paramount.
2:26:00In today's rapidly evolving
2:26:02technological landscape, market dynamics
2:26:05and customer needs can shift quickly.
2:26:08Establishing a regular review cycle,
2:26:11such as monthly or quarterly, allows you
2:26:14to reassess your priorities, incorporate
2:26:16new learnings, and adapt your plans
2:26:18accordingly. These reviews should
2:26:21involve key stakeholders from different
2:26:23departments to ensure that the road map
2:26:25remains aligned with the overall
2:26:26business strategy.
2:26:30Remember that a road map is not a static
2:26:33document. It is a living artifact that
2:26:35evolves alongside your product and the
2:26:38market it serves. Embracing this dynamic
2:26:41nature is key to navigating the
2:26:43complexities of product development and
2:26:45achieving sustained success in the
2:26:47enterprise software and B2B sectors.
2:26:51[Music]
2:26:58Welcome to this video on using Asana to
2:27:01plan, track, and communicate product
2:27:03updates and enhancements to
2:27:05stakeholders. Today, I'll show you how
2:27:08Asana can streamline your workflow,
2:27:10helping you manage product updates and
2:27:13keep all stakeholders informed about
2:27:15progress. By the end of this video,
2:27:18you'll know how to use Asauna to
2:27:19organize your product update tasks,
2:27:22assign responsibilities, and keep
2:27:24everyone aligned on key milestones and
2:27:26progress. Let's get started by accessing
2:27:29Asauna. ASA is a project management tool
2:27:32that helps teams plan and track their
2:27:35work. We'll use Aana to manage a product
2:27:38update process, breaking it down into
2:27:40tasks, assigning ownership, and setting
2:27:43timelines. The first step is to create a
2:27:46new project in Asana for managing
2:27:49product updates. Click on create new
2:27:51project and choose list as the project
2:27:54view. Name the project product update
2:27:58road map. Once the project is created,
2:28:01you can start organizing the tasks into
2:28:03sections. I recommend setting up
2:28:05sections based on the phases of the
2:28:07product update process. Planning, where
2:28:11you gather ideas, define updates, and
2:28:13outline goals. Development, where
2:28:16engineers or designers work on the
2:28:18updates. Testing to track progress of
2:28:21user acceptance testing. UAT launch for
2:28:25communicating updates to stakeholders
2:28:27and releasing the updates. This
2:28:30structure helps you visualize where each
2:28:32task falls in the overall process and it
2:28:35ensures that nothing is overlooked. Now
2:28:38that we have our sections, it's time to
2:28:40add tasks. Let's start by creating a
2:28:42task for define product update goals in
2:28:46the planning section. Click add task and
2:28:49enter the details for the task including
2:28:52the description, due date, and any
2:28:54relevant documents. Next, assign the
2:28:57task to the appropriate team member. In
2:29:00ASA, you can easily assign tasks by
2:29:02clicking on assigne and selecting the
2:29:05responsible person. This ensures
2:29:08accountability and helps stakeholders
2:29:10see who is handling each part of the
2:29:12process. ASA provides a way to track the
2:29:16status of each task using custom fields
2:29:19or tags like in progress, complete or
2:29:23blocked. These fields are visible in the
2:29:26task view and allow you to see the
2:29:28progress at a glance. For example, you
2:29:32can tag the implement feature X task as
2:29:34in progress once development begins.
2:29:38Similarly, when testing is complete, you
2:29:40can update the complete UAT for feature
2:29:44X task to complete. As tasks move
2:29:48through the phases, the visual
2:29:50representation in a sauna makes it easy
2:29:52to see where any bottlenecks are and
2:29:55what still needs attention. It's
2:29:57important to keep product updates on
2:29:59schedule and Asana's milestone feature
2:30:02allows you to set key milestones in the
2:30:05product update process. A milestone
2:30:08marks important checkpoints such as the
2:30:10completion of development or the start
2:30:12of UAT. To create a milestone in a
2:30:16sauna, click add task, then select
2:30:19milestone. For example, create a
2:30:21milestone for complete development with
2:30:23a due date. This milestone will be
2:30:26visible on the project timeline, helping
2:30:29stakeholders track when key phases are
2:30:31expected to be finished. Setting due
2:30:34dates for tasks is also essential to
2:30:36ensure deadlines are met. You can assign
2:30:39start and end dates for tasks by
2:30:41selecting the calendar icon in each
2:30:44task. For instance, set the start date
2:30:47for development as next Monday and the
2:30:49end date as two weeks later. You can
2:30:52send weekly updates to stakeholders by
2:30:54clicking on the project status tab and
2:30:57writing a summary of the project's
2:30:58progress. Here you can highlight which
2:31:01tasks are on track, which ones are
2:31:04delayed, and any new updates the team
2:31:06should know about. Stakeholders can view
2:31:09this information in real time, making
2:31:11communication seamless. Timeline view is
2:31:14a powerful feature for visualizing your
2:31:16product update schedule. It shows how
2:31:19all tasks and milestones are connected
2:31:22and helps you identify any potential
2:31:24scheduling conflicts. To access timeline
2:31:27view, click on timeline in the projects
2:31:30navigation.
2:31:31This Gant chart style view shows each
2:31:34task as a bar along the timeline with
2:31:37start and due dates. You can drag tasks
2:31:40to adjust timelines or dependencies if
2:31:43any changes are needed. For example, if
2:31:46development for feature X is delayed,
2:31:48you can move the corresponding UAT task
2:31:51on the timeline to reflect the new
2:31:53schedule. This flexibility helps you
2:31:56manage deadlines and keep all tasks
2:31:59aligned. Conclusion: ASA is a highly
2:32:02effective tool for planning, tracking,
2:32:05and communicating product updates. By
2:32:08setting up tasks, assigning
2:32:09responsibilities, and tracking progress
2:32:12through milestones and statuses, you can
2:32:15ensure that everyone is aligned and that
2:32:17product updates are completed on time.
2:32:21[Music]
2:32:30The launch may be the fireworks, but the
2:32:33data is what drives your product's
2:32:35growth. In Beyond the Fireworks, we'll
2:32:38explore how to harness the power of
2:32:40post-launch analysis to optimize your
2:32:43product, uncover hidden opportunities,
2:32:45and steer it towards continued success.
2:32:53The launch was fantastic, but now comes
2:32:55the real challenge. We need to
2:32:58understand how our product is performing
2:33:00in the real world, where we can improve,
2:33:02and how we can keep our users engaged.
2:33:05John recognizes that the post-launch
2:33:07phase is where the real work begins.
2:33:09It's about digging deep into the data,
2:33:12listening to user feedback, and making
2:33:14informed decisions to optimize the
2:33:16product's performance and ensure its
2:33:19long-term success. The launch was a
2:33:21great start, but we need to keep that
2:33:23momentum going. Data will help us
2:33:26understand what's appealing to our users
2:33:28and how we can keep them engaged and
2:33:30excited about our product for the long
2:33:32term.
2:33:32>> Post-launch analysis is about more than
2:33:35just vanity metrics. It's about
2:33:38uncovering hidden patterns and trends
2:33:40that reveal how your product is being
2:33:42used and how it's impacting your users.
2:33:45>> By analyzing user behavior, we
2:33:47discovered that the initial menu was
2:33:49confusing. This redesign will make it
2:33:52much easier for our customers to
2:33:53navigate and access the features they
2:33:55need.
2:33:56>> Post-launch analysis also helps you
2:33:58identify opportunities for growth and
2:34:00innovation. Let's say users are
2:34:03requesting a save for later feature. By
2:34:06understanding your users evolving needs
2:34:08and preferences, you can stay ahead of
2:34:10the curve and continue to deliver value.
2:34:13>> We're constantly listening to our
2:34:14customers and looking for ways to
2:34:16enhance their experience. This new
2:34:18feature was a direct result of their
2:34:20feedback.
2:34:21>> In this lesson, you'll learn how to
2:34:23transform post-launch data into
2:34:25actionable insights, enabling you to
2:34:28make informed decisions that will fuel
2:34:30your product's growth and ensure its
2:34:32continued success. That's exactly what
2:34:35we're aiming for. By harnessing the
2:34:37power of data, we can turn those
2:34:39insights into a roadmap for the future,
2:34:41ensuring our product not only meets but
2:34:44exceeds our customers expectations. The
2:34:46launch is just the beginning. Let's
2:34:48partner on this path of continuous
2:34:50improvement and create a product that
2:34:53thrives.
2:34:54[Music]
2:35:04In this video, we will explore the
2:35:06post-launch reality check, highlighting
2:35:08the importance of evaluating your
2:35:10enterprise software's performance after
2:35:12its release, a period where initial
2:35:14excitement gives way to the real test.
2:35:17We will explore methods for assessing
2:35:19performance, identifying areas for
2:35:21improvement, and ultimately helping your
2:35:24software stand strong in the market. The
2:35:26journey doesn't end with deployment. In
2:35:29fact, it marks a critical juncture where
2:35:31user interaction provides invaluable
2:35:33insights. This phase allows you to gauge
2:35:36whether your software truly addresses
2:35:39user needs and business objectives.
2:35:42Understanding user behavior and
2:35:43gathering feedback are paramount for B2B
2:35:46applications where the user experience
2:35:48directly influences enterprise level
2:35:51decisions and client satisfaction.
2:35:54The post-launch phase is where your
2:35:56vision meets reality. It is the point
2:35:59where users start interacting with your
2:36:00software and their feedback reveals if
2:36:03it truly meets their needs. This
2:36:05feedback loop is critical for B2B
2:36:08products such as productivity tools or
2:36:10cloud services where user experience
2:36:13directly impacts enterprise clients.
2:36:15Imagine that you have recently launched
2:36:17a new team collaboration tool within
2:36:19Microsoft's suite of business apps. How
2:36:22are IT teams engaging with it? Are they
2:36:24experiencing any issues in deployment?
2:36:27These insights help your software align
2:36:29with your clients expectations and
2:36:31business needs. To evaluate these
2:36:34aspects, track key performance
2:36:36indicators or KPIs. These KPIs act as
2:36:40health checks for your software, showing
2:36:42how it is performing and pointing out
2:36:44where improvements are necessary. Focus
2:36:46on three main categories. adoption and
2:36:50engagement metrics, user satisfaction
2:36:52and feedback metrics, and business
2:36:54metrics. Where adoption and engagement
2:36:57metrics reveal the extent and frequency
2:36:59of user interaction with the software,
2:37:02user satisfaction and feedback metrics
2:37:04gauge user contentment and provide
2:37:06direct insights into their experiences.
2:37:09Finally, business metrics demonstrate
2:37:11the software's impact on key
2:37:12organizational goals such as revenue
2:37:15generation or operational efficiency.
2:37:18Monitoring these three categories
2:37:20provides a holistic view of the
2:37:22software's health and its contribution
2:37:24to overall success. Let's examine each
2:37:27category. First, adoption and engagement
2:37:30metrics are important. They reveal how
2:37:32many users are onboarding, adopting new
2:37:35features, and the frequency of usage.
2:37:37Regarding our team collaboration
2:37:39software, track user login, feature
2:37:41interactions, and system uptime as
2:37:44indicators of engagement.
2:37:46Next, consider user satisfaction and
2:37:48feedback metrics. These metrics tell you
2:37:51about the user experience. Are users
2:37:54happy with the product's features? Would
2:37:56they recommend it? Net promoter score,
2:37:58NPS, and customer satisfaction, seesat
2:38:02scores, provide quantitative insights,
2:38:04while direct feedback from IT teams
2:38:06offers qualitative depth. Lastly,
2:38:10business metrics, the financial
2:38:11backbone, will show you profitability
2:38:14and cost efficiency. Metrics like
2:38:16revenue, customer acquisition cost, and
2:38:19user retention rates are vital for our
2:38:22software. Consider the cost to onboard a
2:38:24new IT client and the lifetime value of
2:38:27these clients.
2:38:29However, tracking metrics is just the
2:38:32beginning. To truly understand your
2:38:34product's performance, you need to
2:38:36analyze the patterns behind the data.
2:38:39This process transforms raw numbers into
2:38:41strategic insights. Consider user
2:38:44feedback from IT professionals or
2:38:46enterprise reviews as valuable sources
2:38:48for uncovering trends. For instance, if
2:38:51you notice a low engagement rate with a
2:38:54newly launched feature, this might
2:38:56highlight a usability issue. Consider
2:38:58revising the interface to make it more
2:39:00intuitive, thus improving user adoption
2:39:03rates. An analysis might reveal that
2:39:06certain features are not being used
2:39:08because they are hidden. Enhancing their
2:39:11visibility could boost engagement and
2:39:13provide more value to clients.
2:39:15Beyond numbers, qualitative data is
2:39:18vital. Track user support requests,
2:39:21social media discussions, and feedback
2:39:23from enterprise clients. These can
2:39:26uncover user needs and areas for product
2:39:28growth. Once you gather and interpret
2:39:31the data, act on it. Prioritize
2:39:34improvements that will have the greatest
2:39:35impact. This could involve enhancing
2:39:38existing features, fixing bugs, or even
2:39:40adjusting your product approach.
2:39:43Remember, the post-launch period is not
2:39:45just about monitoring. It is about
2:39:47learning and evolving. Engaging with
2:39:50user feedback allows your product to
2:39:52meet changing needs and continue
2:39:54delivering value. The post-launch
2:39:57reality check is the final test for your
2:39:59software. By embracing feedback and
2:40:02striving for continual improvement, you
2:40:04will help your product not only reach
2:40:06the market, but thrive in it.
2:40:14[Music]
2:40:16Welcome to this session on how to
2:40:17conduct a deep dive into user behavior
2:40:20using Looker. Today, we'll focus on one
2:40:23specific metric, daily active users,
2:40:26DAU, and explore how Looker can help you
2:40:29uncover actionable insights to improve
2:40:31your product strategy. By the end of
2:40:34this video, you'll be able to segment
2:40:36DAU data, identify trends, and use this
2:40:40information to make datadriven
2:40:42decisions. Let's start by accessing
2:40:44Looker. Looker is a business
2:40:46intelligence platform that allows
2:40:48product teams to visualize data and
2:40:51monitor product health through
2:40:53customizable dashboards.
2:40:55Today we'll use Looker to deep dive into
2:40:58daily active users DAU and understand
2:41:02user engagement patterns. Step one,
2:41:05setting up a DAU metric. First, we'll
2:41:08set up the DAU metric in Looker. To do
2:41:12this, click to add a chart and choose
2:41:14the appropriate data input. This chart
2:41:17will pull realtime data on how many
2:41:19users are actively engaging with your
2:41:22product each day. Once you've defined
2:41:24the query, visualize the data as a line
2:41:27chart, which will allow you to see
2:41:29trends in user activity over time. Step
2:41:32two, segmenting DAU.
2:41:36Next, we'll segment DAU data to
2:41:38understand engagement patterns among
2:41:40different user groups. In Looker, you
2:41:43can create segments based on
2:41:44demographics, acquisition channels, or
2:41:47any other relevant criteria. For
2:41:49example, we can segment D AU by new
2:41:53users versus returning users to see if
2:41:55there are differences in engagement
2:41:57patterns. This will help us tailor our
2:42:00product strategy to different user
2:42:02groups and improve overall engagement.
2:42:05Step three, analyzing DAU trends. Now,
2:42:08let's analyze DAU trends over time. In
2:42:12Looker, you can use filters to analyze
2:42:15DAU for specific periods such as the
2:42:18last month, quarter, or year. We can
2:42:20also compare DAU trends across different
2:42:23user segments to identify any
2:42:26variations. This will help us understand
2:42:28how engagement is changing over time and
2:42:31identify any concerning trends.
2:42:34Step four, correlating DAU with other
2:42:37metrics. To gain deeper insights, we'll
2:42:40correlate DAU with other relevant
2:42:42metrics. In Looker, you can create
2:42:45scatter plots or other visualizations to
2:42:47see if there's a relationship between
2:42:49DAU and metrics like user retention or
2:42:52feature usage. For example, we can see
2:42:55if there's a correlation between DAU and
2:42:58the usage of a specific feature. This
2:43:01will help us understand the factors that
2:43:04influence DAU and make datadriven
2:43:06decisions to improve engagement.
2:43:09Step five, creating a DAU deep dive
2:43:13dashboard. To monitor DAU effectively,
2:43:16we'll combine our key analyses into a
2:43:19single dashboard. This will provide a
2:43:21centralized view of DAU trends,
2:43:24segments, and correlations, making it
2:43:26easy to track progress and identify
2:43:29areas for improvement. In Looker, you
2:43:32can organize the dashboard layout to
2:43:34prioritize the most important
2:43:36visualizations.
2:43:38Step six, identifying areas for product
2:43:41improvement.
2:43:43Now that we've analyzed DAU trends,
2:43:46segments, and correlations, let's use
2:43:48this information to identify areas for
2:43:51product improvement. Looker data can
2:43:54help pinpoint specific issues or
2:43:56opportunities to enhance user
2:43:57engagement. For example, if we see a
2:44:00drop in DAU among new users, we might
2:44:03investigate if there are any onboarding
2:44:05challenges or usability issues. We can
2:44:08also use Looker to track the impact of
2:44:10product changes on DAU. If we recently
2:44:13released a new feature, we can analyze
2:44:15how it affected DAU across different
2:44:18user segments. This iterative process of
2:44:21analyzing data and making improvements
2:44:24is crucial for driving product success.
2:44:27In summary, using Looker to deep dive
2:44:30into a single metric like DAU allows you
2:44:33to uncover actionable insights into user
2:44:36behavior and product performance. By
2:44:38segmenting data, analyzing trends, and
2:44:41correlating with other metrics, you can
2:44:44make data-driven decisions that enhance
2:44:46the user experience and drive long-term
2:44:49success.
2:44:50[Music]
2:45:01Class is back in session, but this time
2:45:03it's not about launching your product,
2:45:05it's about what comes after. Welcome to
2:45:08the post-launch report card where we
2:45:10recap the essential elements of
2:45:11evaluating and optimizing your product
2:45:13for long-term success.
2:45:17>> Remember that exciting product launch,
2:45:18the culmination of all your hard work?
2:45:21Well, that was just the beginning. Now,
2:45:24it's time to assess how your product is
2:45:26performing in the real world and use
2:45:27those insights to guide its future.
2:45:30>> Throughout this lesson, we've learned
2:45:32that post-launch analysis is like
2:45:33grading your product's performance.
2:45:35You've gained valuable insights into
2:45:37assessing key indicators of success and
2:45:40identifying areas for improvement.
2:45:42>> Just like a student's report card, these
2:45:44metrics provide a snapshot of your
2:45:46product's strengths and weaknesses. Are
2:45:48users adopting the product at the
2:45:49expected rate? Are they actively
2:45:51engaging with its features? Are they
2:45:53sticking around or are they churning?
2:45:56>> We'd explored the significance of
2:45:58tracking and analyzing these essential
2:46:00metrics. You've learned how to interpret
2:46:02the data and extract meaningful
2:46:03insights.
2:46:05>> By understanding these metrics, we can
2:46:07identify areas where the product excels
2:46:09in areas where it needs a little extra
2:46:10attention. It's about using data to
2:46:13guide our decisions and optimize the
2:46:15product for continued success.
2:46:17We also looked at how visualization
2:46:19tools can help. You've discovered how to
2:46:21harness their capabilities to gain a
2:46:23deeper understanding of user behavior
2:46:25and product performance.
2:46:27>> These visualization tools help us
2:46:29understand the why behind the data,
2:46:31revealing how users interact with the
2:46:33product, their challenges, and how we
2:46:35can improve their experience.
2:46:37>> And let's not forget the importance of
2:46:39customer feedback. We've emphasized the
2:46:41value of listening to user voices,
2:46:43collecting their insights, and using
2:46:45their feedback to drive product
2:46:46improvement.
2:46:47>> Customer feedback is invaluable. It
2:46:50reveals user needs, preferences, and
2:46:52pain points, guiding our road map, and
2:46:54ensuring we deliver exceptional value.
2:46:57>> As we wrap up this recap, remember that
2:46:59the post-launch journey is an ongoing
2:47:01process. By continuously monitoring,
2:47:04analyzing, and optimizing your product,
2:47:06you can ensure its continued success and
2:47:08deliver an exceptional user experience.
2:47:12[Music]
2:47:22Welcome to data as your guide, where
2:47:24we'll explore the power of data analysis
2:47:27and learn how to transform raw numbers
2:47:29into actionable insights that drive
2:47:31product growth.
2:47:33>> So much data, it's a lot to take in. How
2:47:36do we make sense of it all and use it to
2:47:38make our smart home energy system even
2:47:40better?
2:47:41>> Pria's question is one every product
2:47:43manager faces. In today's world, it's
2:47:46not enough to simply collect data. The
2:47:49real challenge lies in transforming that
2:47:51data into actionable insights that drive
2:47:54effective decisionm.
2:47:56>> It can feel overwhelming at times, but
2:47:58that's where the real challenge and
2:48:00excitement lies. Turning a high volume
2:48:02of data into actionable insights that
2:48:05will shape our product's future.
2:48:07>> Imagine discovering that users are
2:48:09consistently adjusting their thermostat
2:48:11settings during certain hours. This
2:48:14could indicate an opportunity to
2:48:15introduce automated schedules or
2:48:18personalized recommendations, making
2:48:20their lives easier and saving them
2:48:22energy. By analyzing usage patterns, we
2:48:26can anticipate our customers needs and
2:48:28create features that enhance their
2:48:30experience. We can go beyond simply
2:48:32reacting to issues and instead create a
2:48:35product that integrates into their
2:48:37lives. or perhaps through data analysis,
2:48:41you uncover that a specific feature is
2:48:43underutilized. This could signal a need
2:48:46for a redesign or improved user
2:48:48education, ensuring your product's full
2:48:51potential is realized.
2:48:52>> Data helps us identify areas for
2:48:54improvement and make informed decisions
2:48:57that benefit our users.
2:48:59>> Datadriven insights can also guide your
2:49:01marketing strategies. By understanding
2:49:04your users's demographics, behaviors,
2:49:06and preferences, you can create targeted
2:49:09campaigns that resonate with your
2:49:10audience and drive conversions.
2:49:13>> It's like having a personalized
2:49:14conversation with each of our customers,
2:49:17understanding what makes them tick and
2:49:18what truly motivates them. This allows
2:49:21us to craft marketing messages that
2:49:23speak directly to their needs and
2:49:24aspirations, making our campaigns more
2:49:27effective and impactful. Data empowers
2:49:30you to step into your customers shoes
2:49:32and tailor your marketing efforts to
2:49:34resonate with their individual needs and
2:49:37aspirations.
2:49:38This personalized approach not only
2:49:40makes your campaigns more effective but
2:49:43also fosters a deeper connection with
2:49:45your audience leading to increased
2:49:47engagement and loyalty.
2:49:50[Music]
2:49:56Welcome to this video on using
2:49:58predictive analytics with your chosen
2:50:00analytics platform integrated into
2:50:02Looker. Today I'll walk you through how
2:50:04this powerful combination provides deep
2:50:07insights into anticipating customer
2:50:09needs, identifying churn risks and
2:50:12forecasting product demand. By the end
2:50:15of this session, you'll understand how
2:50:17these tools work together to help you
2:50:19make datadriven decisions for your
2:50:21product strategy. We'll start by
2:50:24integrating your analytics platform with
2:50:26Looker. Modern analytics platforms offer
2:50:29advanced tracking of user behaviors
2:50:31across devices and platforms. Popular
2:50:34choices include tools like Google
2:50:36Analytics 4, Adobe Analytics, Mix Panel,
2:50:39Heap, and Amplitude. When combined with
2:50:42Looker's business intelligence
2:50:43capabilities, this integration provides
2:50:45a complete view of customer engagement,
2:50:48helping us identify trends and risks in
2:50:50real time. Step one, setting up the
2:50:53integration. To begin, ensure that your
2:50:56analytics data is synced with Looker.
2:50:59This connection pulls your website or
2:51:01app analytics data directly into
2:51:03Looker's dashboard, making it easy to
2:51:06visualize and track critical metrics.
2:51:08You'll likely find pre-built queries or
2:51:11reports available within Looker. An
2:51:13example here is the Google Analytics 4
2:51:15report, Acme Marketing, and Search
2:51:18Console Report. To start, click on new
2:51:22report and select your preferred
2:51:24platform for integration. In this
2:51:26example, we're going to use Google
2:51:28Analytics 4 and Excel sheet data. You
2:51:32can also select specific metrics or
2:51:34focus areas that you want to work on.
2:51:36When completed, click add, apply, and
2:51:39add to report to begin building your
2:51:42dashboard. Once you get to your
2:51:44dashboard, the ribbon on the top allows
2:51:46you to see different features available
2:51:48for use. In this example, we're looking
2:51:51at the types of charts we can generate
2:51:53based on the data we would like to
2:51:55visualize.
2:51:57Step two, tracking user behavior. Once
2:52:00you select your preferred chart, you can
2:52:02analyze key user behavior metrics.
2:52:06For this demo, we'll focus on user
2:52:08retention and average session duration.
2:52:12These metrics help us understand how
2:52:14engaged our users are and how long they
2:52:16stay on the platform. Create a query on
2:52:19the right using the events data from
2:52:21your analytics platform, focusing on
2:52:23events like average session duration,
2:52:26engagement score, and last active date.
2:52:29Visualize this data using a line chart
2:52:31to show retention trends over time. You
2:52:34can also display the information as a
2:52:36bar chart that can be used to display
2:52:38session durations, highlighting which
2:52:40segments of users are spending the most
2:52:43time within your product. You can also
2:52:46visualize the same data in other chart
2:52:48formats.
2:52:50Step three, identifying potential churn
2:52:52risks. A key advantage of integrating
2:52:55your analytics platform with Looker is
2:52:57the ability to anticipate churn risks.
2:53:00We'll now build a predictive model using
2:53:02behavioral signals. For example, a drop
2:53:05in user engagement over a certain period
2:53:08could be a red flag for churn. Set up a
2:53:10query that identifies users who haven't
2:53:12returned within a certain period. Here,
2:53:15we're going to use the date function to
2:53:17set that period. Using the retention
2:53:19rate and event frequency data, you can
2:53:22identify user segments that are at risk
2:53:24of leaving the product. Visualize this
2:53:27as a line chart to visualize the
2:53:29interaction over the months and a funnel
2:53:31chart showing where users are dropping
2:53:33off in their engagement journey, helping
2:53:36you target them with re-engagement
2:53:38strategies like personalized emails or
2:53:40promotions.
2:53:42Step four, forecasting future product
2:53:44demand. One of the most powerful
2:53:46capabilities of this integration is the
2:53:49ability to forecast future product
2:53:50demand. By analyzing user behaviors and
2:53:53patterns over time, you can anticipate
2:53:56which features or products are likely to
2:53:58experience increased demand. Set up a
2:54:01trend analysis query using your
2:54:03analytics data to monitor key actions
2:54:06that lead to conversions. Here we've
2:54:09used product views, add toart events,
2:54:11and conversions. By analyzing the growth
2:54:14rates of these events over time, we can
2:54:17forecast future demand such as quarter 3
2:54:20for 2024 used in this example. Visualize
2:54:24this as a forecast line chart as well as
2:54:26other chart types to view the trend over
2:54:29the next quarter. This enables you to
2:54:32plan development and resource allocation
2:54:34proactively, ensuring that you're
2:54:37prepared for future demand spikes.
2:54:41Step five, monitoring KPIs in real time.
2:54:45After setting up predictive models, it's
2:54:47essential to monitor key product metrics
2:54:49in real time using Looker's customizable
2:54:52dashboards.
2:54:54These dashboards automatically refresh
2:54:56as new data flows in, giving you up
2:54:58totheminute insights into user behavior.
2:55:02For example, you can add several charts
2:55:04and views to a single dashboard. This
2:55:07allows your product team to monitor the
2:55:09health of your product, anticipate
2:55:11potential issues, and adjust strategies
2:55:13as needed.
2:55:15Step six, sharing insights with
2:55:18stakeholders.
2:55:19Once your predictive analytics are set
2:55:21up, share your insights with
2:55:23stakeholders. There is a share option
2:55:26available on top right. Click share and
2:55:29then add the people you would like to
2:55:31share the report with. Looker allows you
2:55:34to export dashboards as reports or share
2:55:37live links, ensuring that your team has
2:55:40access to the most recent data. This
2:55:42allows you to send live reports to your
2:55:44team or export the data for
2:55:47presentations.
2:55:48This keeps everyone aligned on key
2:55:50metrics and ensures that datadriven
2:55:53decisions are integrated into the
2:55:55product road map.
2:55:57Conclusion: Integrating your analytics
2:56:00platform with Looker allows you to track
2:56:02user behaviors, predict churn risks, and
2:56:05forecast future product demand. By
2:56:07setting up real time dashboards,
2:56:09monitoring KPIs, and sharing insights,
2:56:13you can ensure your product meets user
2:56:15needs while staying ahead of potential
2:56:17risks.
2:56:19[Music]
2:56:29Welcome back. It's time to recap what
2:56:31we've learned. Throughout this lesson,
2:56:33we've explored the power of data in
2:56:35driving product growth and optimization.
2:56:38>> Remember, data isn't just numbers and
2:56:40figures. It's guiding us towards a
2:56:42deeper understanding of our users. It's
2:56:44the key to identifying opportunities and
2:56:46making informed decisions that moves our
2:56:48product forward.
2:56:50We've explored advanced analytics
2:56:52techniques, equipping you with the tools
2:56:54to gain a deeper understanding of
2:56:55product performance and user behavior.
2:56:58You've learned how to uncover hidden
2:57:00patterns, predict future trends, and
2:57:02make proactive decisions.
2:57:04>> These techniques allow us to move beyond
2:57:06the surface level and understand the
2:57:08motivations behind the data. We can
2:57:10pinpoint what drives user engagement,
2:57:13anticipate potential churn risks, and
2:57:15even project future product demand.
2:57:18We've also explored the power of data
2:57:20visualization tools. You've discovered
2:57:22how to create impactful visualizations
2:57:24that effectively communicate product
2:57:26performance to stakeholders. These
2:57:28platforms empower us to tell a story
2:57:30with data. We can create clear, concise,
2:57:32and visually engaging dashboards that
2:57:35highlight key metrics, trends, and
2:57:37opportunities. This facilitates
2:57:39datadriven decisionmaking and fosters
2:57:41collaboration across teams. We've seen
2:57:44how integrating analytics with data
2:57:46visualization provides a comprehensive
2:57:48view of user behavior and product
2:57:49performance. This powerful combination
2:57:52unlocks a deeper understanding of your
2:57:54users and their journey with your
2:57:56product.
2:57:57>> These tools together give us a complete
2:57:59picture of our users. We can anticipate
2:58:01what they'll need next, personalize
2:58:03their experience to make it truly
2:58:05enjoyable, and proactively address
2:58:07potential issues before they even
2:58:09realize they exist. It's all about being
2:58:11one step ahead in creating a truly
2:58:13seamless and satisfying user experience.
2:58:16>> As we wrap up this recap, remember that
2:58:18data is your ally. By embracing data
2:58:21analysis, you can unlock a world of
2:58:23opportunities for product growth and
2:58:25optimization.
2:58:26>> We've learned that data analysis is not
2:58:28just about crunching numbers. It's about
2:58:30turning insights into action. It's about
2:58:33using data to drive innovation, improve
2:58:35user experience, and achieve product
2:58:38success.
2:58:39>> By applying the skills and knowledge
2:58:40you've gained in this module, you can
2:58:42transform data into a catalyst for
2:58:44product excellence.
2:58:46[Music]
2:58:53Imagine you are a product manager
2:58:55looking beyond basic performance
2:58:57metrics. You need to uncover deeper
2:58:59patterns and predict future trends to
2:59:01optimize your product strategy. This
2:59:04demonstration will show you how to use
2:59:06Microsoft PowerBI to perform advanced
2:59:09analytics and gain these critical
2:59:11insights into product performance and
2:59:13user behavior. Consider a scenario where
2:59:16your product has been in the market for
2:59:18some time and you have accumulated a
2:59:21significant amount of data on the
2:59:23product. You now want to use this data
2:59:25to forecast future performance and
2:59:28identify potential areas for growth.
2:59:31PowerBI provides tools to perform these
2:59:34advanced analyses.
2:59:36In the PowerBI interface, a report has
2:59:39been started. It is connected to sample
2:59:42product sales data over the past few
2:59:44years. In the fields pane on the right,
2:59:47you can see fields like order date,
2:59:49sales amount, product category, and user
2:59:52region. One of the fundamental advanced
2:59:55analytics techniques is trend analysis.
2:59:58We can use line charts to visualize
3:00:00trends in our data over time. This line
3:00:04chart shows the overall trend of our
3:00:06product sales. To make this trend
3:00:08clearer, you can add a trend line to the
3:00:10chart. Select the chart, go to the
3:00:13analytics pane by clicking the
3:00:15magnifying glass icon, expand trend
3:00:17line, and click add. PowerBI will
3:00:21automatically add a trend line to the
3:00:23visualization.
3:00:24The trend line helps us visually
3:00:26identify the direction of our sales
3:00:28performance. We can see if sales are
3:00:30generally increasing, decreasing, or
3:00:33staying flat. This is valuable for
3:00:35understanding the long-term performance
3:00:37of our product.
3:00:40PowerBI also has a built-in forecasting
3:00:43feature that allows us to predict future
3:00:45trends based on historical data. Use
3:00:48this feature to forecast sales for the
3:00:50next couple of years. Select the sales
3:00:53trend line chart. Go to the analytics
3:00:55pane, expand forecast, and click add. In
3:00:59the forecast settings, you can specify a
3:01:02forecast length such as 2 years and the
3:01:04confidence interval. Click apply. This
3:01:08forecast provides a prediction of our
3:01:10future sales based on the historical
3:01:12trend. While forecasts are not always
3:01:15perfectly accurate, they can be valuable
3:01:17for planning and setting expectations.
3:01:20Remember that the accuracy of the
3:01:22forecast depends on the quality and
3:01:24patterns in your historical data.
3:01:26Another advanced analytics technique
3:01:28involves understanding user behavior. to
3:01:32explore a simple example using a
3:01:33built-in visual. Click on an empty area
3:01:36of the canvas and select the scatter
3:01:39chart visual. To understand user
3:01:42behavior, it is useful to observe the
3:01:45session duration of individual users as
3:01:47well as the number of features they use.
3:01:50To see this, drag session duration to
3:01:52the xaxis and number of features used to
3:01:56the yaxis.
3:01:58Then drag the user ID to the legends.
3:02:01Well, the users in the legend well
3:02:03allows someone to visualize how and when
3:02:06each user interacted with the product.
3:02:09You will already see a natural trend
3:02:11line forming that shows the most active
3:02:13and engaged users. A similar trend line
3:02:17extension to this scatter plot can be
3:02:19shown by going to the analytics pane and
3:02:22turning the trend line feature on. Now
3:02:25for a different view, you can drag the
3:02:27user ID from legend well to values. Then
3:02:32use the drop-down on the x-axis and
3:02:35y-axis fields to change to average
3:02:39by navigating to your analytics panel.
3:02:41This time you can turn on the ratio
3:02:43line. This allows you to view the
3:02:46correlation between the amount of time
3:02:47spent on the platform and the number of
3:02:50features used. Understanding these
3:02:52correlations can inform targeted product
3:02:55improvements or marketing efforts such
3:02:57as encouraging users to stay longer on
3:03:00the platform. You can combine these
3:03:02advanced analytics visuals onto a
3:03:04dashboard in PowerBI.
3:03:07This provides a comprehensive view of
3:03:08your product's performance, including
3:03:11historical trends, future forecasts, and
3:03:14user behavior segments all in one place.
3:03:17By leveraging these advanced analytics
3:03:19techniques in PowerBI, you can gain
3:03:22deeper insights into your product's
3:03:23performance and user behavior, enabling
3:03:26you to make more strategic and
3:03:28data-driven decisions for future growth
3:03:31and optimization.
3:03:33[Music]
3:03:43While product failures can often
3:03:45highlight inefficiencies within the
3:03:46development process, such as excessive
3:03:49bug fixing and persistent critical
3:03:51issues leading to wasted resources, it's
3:03:53crucial to acknowledge that other
3:03:55factors also play a significant role.
3:03:58Market demand and customer readiness,
3:04:00for instance, are equally vital
3:04:02considerations in a product success. To
3:04:04address the development process issues,
3:04:07product managers implement process
3:04:09optimization, a method that
3:04:11systematically improves efficiency.
3:04:14This video describes essential process
3:04:16optimization techniques. At the end, you
3:04:19will be able to explain these
3:04:20techniques, including value stream
3:04:22mapping, root cause analysis, and
3:04:24process automation, and how they apply
3:04:27to improving efficiency in enterprise
3:04:29software development, including lead
3:04:31management, audience segmentation, and
3:04:33campaign performance tracking.
3:04:36Value stream mapping allows teams to
3:04:39visually represent the product
3:04:40development process, enabling the
3:04:42identification of bottlenecks and areas
3:04:44for improvement. For instance, consider
3:04:47a software development scenario where a
3:04:49value stream map shows that developers
3:04:51spend significant time waiting for test
3:04:53environments to become available. This
3:04:56delay slows the entire development cycle
3:04:59by removing wait times and automating
3:05:01test environment setup. Teams can
3:05:03accelerate the release process in
3:05:06enterprise software. This also includes
3:05:08automating build and deployment to
3:05:10minimize manual work and reduce errors.
3:05:13Root cause analysis helps teams
3:05:15understand the underlying reasons for
3:05:17problems preventing them from recurring.
3:05:20For example, frequent data sync errors
3:05:22in a software application can be traced
3:05:24to database conflicts or network latency
3:05:27through root cause analysis. Corrective
3:05:29actions like better database indexing or
3:05:32network optimization can enhance data
3:05:35integrity and reduce downtime in
3:05:37enterprise software. This may also
3:05:39involve detailed code reviews and
3:05:41automated testing to catch issues early.
3:05:44Process automation minimizes manual
3:05:46work, freeing up resources for strategic
3:05:49tasks. It boosts productivity and
3:05:51shortens development time. For instance,
3:05:54teams can automate time- consuming tasks
3:05:56like generating release notes. In the
3:05:58go-to market process, automation can
3:06:01manage lead generation campaigns such as
3:06:03email sequences triggered by user
3:06:05actions or segment customer lists based
3:06:08on behavior and demographics for more
3:06:10targeted outreach. Beyond core
3:06:13development, these techniques also
3:06:15support product managers involved in
3:06:17customer engagement. For example, value
3:06:20stream mapping can visualize the entire
3:06:22acquisition journey from initial contact
3:06:25through lead qualification to final
3:06:27sale, highlighting where leads drop off
3:06:29and where improvements are needed. Root
3:06:32cause analysis can identify why a
3:06:34marketing campaign such as a paid
3:06:36advertisement is not performing well,
3:06:39revealing factors like poor ad targeting
3:06:41or ineffective messaging. Process
3:06:43automation can automate marketing tasks
3:06:45such as generating personalized email
3:06:47campaigns based on user behavior or
3:06:50automating social media posting,
3:06:52allowing product managers to concentrate
3:06:54on strategic planning and analysis.
3:06:57Audience segmentation is another area
3:06:59where process optimization improves
3:07:01effectiveness. By grouping customers
3:07:04based on specific needs and preferences,
3:07:06product managers can create targeted
3:07:08marketing campaigns. For example, a
3:07:11product manager can segment customers
3:07:13based on their use of specific software
3:07:15features to run targeted adoption
3:07:17campaigns. Automation streamlines this
3:07:20process and tracks segment performance,
3:07:22delivering valuable datadriven insights.
3:07:25Finally, campaign performance tracking
3:07:28is essential for informed
3:07:29decision-making. By monitoring key
3:07:32metrics such as conversion rates and
3:07:34customer acquisition costs, product
3:07:36managers determine which campaigns are
3:07:38effective. Automation tools track
3:07:41campaign performance and generate
3:07:42reports that provide data for campaign
3:07:45optimization. For example, a dashboard
3:07:48might show the conversion rates of
3:07:49different email campaigns, allowing
3:07:51product managers to identify
3:07:53high-erforming campaigns and replicate
3:07:55their success.
3:07:57Effective process optimization results
3:08:00in successful product launches and fewer
3:08:02post-launch issues. Teams deliver
3:08:04highquality products on schedule,
3:08:06leading to increased customer
3:08:08satisfaction. Product managers who use
3:08:11these techniques drive continuous
3:08:13improvement, ensuring their
3:08:15organizations remain competitive.
3:08:17Process optimization is crucial for
3:08:20successful product management, enabling
3:08:22the efficient creation and delivery of
3:08:24valuable products.
3:08:29[Music]
3:08:36Welcome to the evolution of excellence.
3:08:39Today we'll guide you through the
3:08:40transformative power of iterative
3:08:42design, empowering you to refine your
3:08:45product from a simple concept into a
3:08:48masterpiece that delights users. Just as
3:08:51a baker bakes a delicious loaf of bread
3:08:53through a series of steps, mixing,
3:08:56kneading, proofing, and baking,
3:08:58successful product development follows a
3:09:01similar iterative process. It's about
3:09:03refining your creation step by step,
3:09:06incorporating feedback and adapting to
3:09:09ensure the final product is exceptional.
3:09:12Meet Ila. By day, she's a master baker,
3:09:15but at home, she's a frustrated user
3:09:18trying to navigate a confusing smart
3:09:20home app.
3:09:21>> I was so excited about this smart home
3:09:24system, but it's turning out to be more
3:09:26trouble than it's worth. I can't even do
3:09:28something as basic as preheating the
3:09:30oven from my phone.
3:09:32>> Leila's experience highlights a common
3:09:34challenge for product managers. Even the
3:09:37most innovative products can fall short
3:09:39if they don't prioritize the user
3:09:41experience. That's where customer
3:09:44feedback becomes invaluable.
3:09:46>> The setup for this app is so
3:09:48frustrating. All I want to do is bake,
3:09:50but I'm spending more time
3:09:52troubleshooting this tech than baking.
3:09:54>> By actively listening to your users, you
3:09:57gain crucial insights into their needs
3:09:59and pain points. This allows you to
3:10:01identify areas for improvement and make
3:10:04datadriven decisions that enhance the
3:10:06overall user experience.
3:10:08>> It's like that instructions are written
3:10:10in a foreign language. I just want to
3:10:12preheat my oven, but I can't find my way
3:10:15around this app. Nothing makes sense.
3:10:18>> Imagine receiving feedback like Leila's.
3:10:21And it's not just an isolated case.
3:10:23Multiple customers are expressing
3:10:25similar concerns. With this knowledge,
3:10:28you can redesign the setup process,
3:10:30making it seamless and enjoyable for all
3:10:33users.
3:10:34>> Wow, that was so much easier. Now I can
3:10:37preheat my oven using my smart home
3:10:39system. Staying ahead also means
3:10:42anticipating future needs. By staying on
3:10:45top of trends, you can proactively add
3:10:48features that keep your product cutting
3:10:50edge. Remember, the most successful
3:10:52products are the ones that evolve and
3:10:54improve based on the needs and desires
3:10:57of their users. By actively listening
3:10:59and responding to feedback, you can
3:11:02create a product that not only meets
3:11:04expectations, but exceeds them.
3:11:06[Music]
3:11:16In this video, we will explore agile
3:11:18product management and how it supports
3:11:20product evolution after launch,
3:11:22especially in the fast-paced world of
3:11:24enterprise software. Launching a product
3:11:27in the enterprise software sector is
3:11:29exhilarating, especially when every step
3:11:32has been carefully planned. But in
3:11:34today's rapidly changing business
3:11:36environment, strictly following a static
3:11:38plan without considering real-time
3:11:40market feedback can be risky. To stay
3:11:43competitive, adaptability is key. Agile
3:11:47product management offers a dynamic
3:11:49approach. It emphasizes flexibility,
3:11:51collaboration, and continuous feedback,
3:11:54allowing teams to respond quickly to
3:11:55user needs and shifting industry trends.
3:11:58This not only keeps your product
3:12:00relevant but also adds ongoing value for
3:12:03your users. Let's say your team launches
3:12:06a new enterprise resource planning
3:12:08system. The initial rollout is smooth,
3:12:10but soon users raise concerns about
3:12:13complex navigation and request new
3:12:15features tailored to specific processes.
3:12:18Meanwhile, new competitors enter the
3:12:20market with innovative tools. What's
3:12:22your next move? With Agile Principles,
3:12:25you're not locked into your original
3:12:27road map. Instead, you adapt. You gather
3:12:30feedback, prioritize enhancements, and
3:12:33roll out improvements in short iterative
3:12:35cycles. These ongoing updates are guided
3:12:38by real data and real user experiences,
3:12:41allowing you to make informed decisions
3:12:43that align with current needs.
3:12:46At the core of agile is the agile
3:12:48manifesto which values individuals and
3:12:50interactions over processes and tools,
3:12:53working software over extensive
3:12:55documentation, customer collaboration
3:12:58over contract negotiation, and
3:13:00responsiveness to change over rigid
3:13:02planning. These principles help you
3:13:05deliver value faster and respond
3:13:07effectively to evolving demands. Post
3:13:09launch, agile works like a finely tuned
3:13:12ecosystem. User feedback gathered
3:13:15through surveys, usability tests, and
3:13:17data analytics drives updates. Short
3:13:20development sprints make frequent
3:13:22improvements possible, helping your
3:13:24product stay competitive and user
3:13:26focused. Your crossf functional team
3:13:29operates like a cohesive unit, adapting
3:13:31efficiently to changes. Data supports
3:13:34your team's intuition and user feedback,
3:13:37helping guide decisions during iteration
3:13:39cycles. This constant feedback loop
3:13:42keeps your product fresh, functional,
3:13:44and aligned with market expectations.
3:13:47Agile's impact doesn't stop at the
3:13:49product level. It also energizes your
3:13:52team. Developers, designers, and product
3:13:55owners are actively engaged, working
3:13:57together with a shared sense of purpose.
3:14:00This collaborative environment improves
3:14:02morale, encourages creativity, and
3:14:05strengthens commitment. Let's revisit
3:14:08that earlier dashboard issue. If users
3:14:10say it's difficult to use, the agile
3:14:13approach involves quickly identifying
3:14:14pain points, prioritizing improvements,
3:14:17and releasing a refined version without
3:14:19delay. This kind of responsiveness
3:14:22builds trust, and shows users their
3:14:24voices are heard. Now, imagine a
3:14:27competitor releases a popular new
3:14:29feature. Rather than reacting in panic,
3:14:32you evaluate its relevance to your
3:14:33users. Agile allows you to make timely
3:14:36decisions, integrate a similar feature,
3:14:39promote your own product strengths, or
3:14:41take a fresh strategic direction. Of
3:14:44course, agile has its challenges. Scope
3:14:46creep can arise as new ideas flow in,
3:14:49making it important to maintain a clear
3:14:51product vision. Resource demands may
3:14:53grow as frequent releases require
3:14:56ongoing effort, and alignment among
3:14:58teams and stakeholders requires
3:15:00consistent, transparent communication.
3:15:03But these challenges are part of the
3:15:05agile journey. With clear priorities and
3:15:07strong collaboration, they become
3:15:09manageable. More importantly, the
3:15:12rewards creating a responsive, evolving
3:15:14product that users love make the effort
3:15:17worthwhile. By embracing agile post
3:15:20launch, you're not just delivering
3:15:22software. You're building a solution
3:15:24that grows with your users and stands
3:15:26strong in a competitive landscape.
3:15:32[Music]
3:15:38Welcome to AI as your co-pilot, where
3:15:41we'll explore how generative artificial
3:15:44intelligence can change the way you
3:15:46approach product management from
3:15:48ideiation to launch and beyond. In the
3:15:51realm of science fiction, artificial
3:15:53intelligence has long been portrayed as
3:15:55a powerful ally assisting humans in
3:15:58achieving extraordinary feats. Today,
3:16:02that vision is becoming a reality,
3:16:04especially in the dynamic world of
3:16:06product management.
3:16:07>> It's amazing how I can help us generate
3:16:10new ideas and explore possibilities we
3:16:12might not have considered on our own.
3:16:15>> Meet Lily, a product manager who's
3:16:17embraced the power of AI as her
3:16:19co-pilot. Lily understands that in
3:16:22today's competitive landscape, staying
3:16:24ahead requires leveraging every tool at
3:16:26your disposal.
3:16:28>> In the fast-paced world of product
3:16:30management, we need every advantage we
3:16:32can get. AI gives us the insights and
3:16:34speed. We need to innovate and stay
3:16:37ahead of the curve.
3:16:38>> In the past, product managers relied
3:16:41heavily on intuition and manual
3:16:43research. But with generative AI, you
3:16:46can access a wealth of datadriven
3:16:48insights and creative possibilities,
3:16:51making the product development process
3:16:53more efficient and effective.
3:16:55>> AI is useful in assisting product
3:16:57managers in creating various documents
3:17:00we need. We can generate the initial
3:17:02ideas and AI can refine and enhance
3:17:05them.
3:17:06AI can also assist in understanding your
3:17:09users on a deeper level by analyzing
3:17:12user feedback and behavior patterns. It
3:17:14can help you create detailed user
3:17:16personas, enabling you to tailor your
3:17:18product to their specific needs and
3:17:20preferences.
3:17:22>> Understanding our users is crucial. AI
3:17:25helps us build empathy and design
3:17:27solutions that truly resonate with their
3:17:29needs. From ideiation to launch and
3:17:32beyond, Generative AI can be your
3:17:34trusted co-pilot, helping you make
3:17:37informed decisions, streamline
3:17:39processes, and create exceptional user
3:17:42experiences.
3:17:43>> With AI by our side, we're not just
3:17:45building a product. We're shaping the
3:17:48future of smart home energy management.
3:17:51>> The future of product management is
3:17:53here. Embrace the transformative power
3:17:56of AI. Unlock a world of possibilities
3:17:59that revolutionizes the way you approach
3:18:01product development, strategy, and
3:18:03customer engagement.
3:18:06[Music]
3:18:15In this video, we will explore the
3:18:17transformative potential of generative
3:18:19AI within the dynamic field of product
3:18:22management. Across industries worldwide,
3:18:25organizations are embracing this
3:18:26technology to drive innovation and
3:18:28streamline operations.
3:18:30As a result, understanding its
3:18:32applications in enterprise software and
3:18:34B2B environments is increasingly
3:18:37important for professionals in this
3:18:39space. Generative AI is a specialized
3:18:42branch of artificial intelligence
3:18:43focused on creating new content such as
3:18:46images, text, and other formats. Unlike
3:18:49traditional AI which analyzes existing
3:18:51data, generative AI produces original
3:18:54and imaginative outputs. This core
3:18:57distinction has the power to reshape how
3:18:59product management is approached. Let's
3:19:02begin by looking at its role in
3:19:03enterprise software. Imagine using
3:19:06Microsoft Azure's AI services to
3:19:08automatically generate detailed data
3:19:09analysis reports. Rather than manually
3:19:12sorting through the data, this AI can
3:19:14analyze sales trends and offer strategic
3:19:16insights, giving you more time to focus
3:19:19on highle decisions and forward-looking
3:19:21strategies.
3:19:22Now, consider its impact in B2B
3:19:25scenarios. Generative AI can personalize
3:19:28experiences by adapting tools and
3:19:30features to the unique needs of each
3:19:31client. For example, within Microsoft
3:19:34Teams, AI can suggest relevant features
3:19:36based on user behavior. It can also
3:19:39create tailored onboarding tutorials
3:19:41shaped by how users engage with the
3:19:42platform from the start. This kind of
3:19:45personalization helps deliver more
3:19:47meaningful client focused experiences.
3:19:50The benefits of generative AI go beyond
3:19:52simplifying tasks. It provides strategic
3:19:54value by uncovering market trends. Tools
3:19:57like PowerBI leverage AI to generate
3:20:00predictive insights that support product
3:20:02launch planning and help your
3:20:04organization stay ahead of the curve.
3:20:06Generative AI also accelerates
3:20:08development processes. Rapid prototyping
3:20:10becomes easier with AI tools embedded in
3:20:13platforms like Visual Studio. These
3:20:16capabilities help teams create and
3:20:18refine designs faster than traditional
3:20:20methods, enabling quicker iterations and
3:20:22more efficient workflows.
3:20:26This technology supports not only
3:20:28productivity but also creativity. It can
3:20:31assist in content creation, simulate
3:20:33user feedback, and even prototype user
3:20:36interfaces, offering product teams new
3:20:38ways to experiment and innovate without
3:20:41significant upfront investment.
3:20:43As generative AI continues to evolve,
3:20:46more possibilities will emerge in the
3:20:48product management space. The key lies
3:20:50in how you integrate it into your
3:20:52workflow, not as a replacement for your
3:20:54expertise, but as an extension of it.
3:20:57The ability to combine your strategic
3:20:59thinking with AI's capabilities will
3:21:01become a defining skill in today's
3:21:03competitive market. Rather than viewing
3:21:05AI as a threat or a passing trend, it
3:21:08should be seen as a powerful partner.
3:21:10Its real value comes from working
3:21:12alongside your insights and experience,
3:21:14amplifying what you do best to stay
3:21:17relevant and deliver exceptional
3:21:19products. Now is the time to experiment
3:21:21with AI tools. Identify their strengths
3:21:24and incorporate them into your
3:21:25day-to-day processes. Whether it's
3:21:28improving decision-m, enhancing user
3:21:30experiences, or increasing development
3:21:32speed, generative AI is becoming a vital
3:21:35asset for product managers. Beyond the
3:21:37immediate benefits, generative AI also
3:21:39opens the door to smarter collaboration
3:21:41across cross functional teams. Imagine
3:21:44product managers, designers, and
3:21:47developers working together with AI
3:21:49tools that instantly generate mockups,
3:21:51content drafts, or data visualizations
3:21:54based on real time discussions. This
3:21:56kind of intelligent support can reduce
3:21:58bottlenecks and align team efforts more
3:22:00effectively. Additionally, AI can assist
3:22:03in risk assessment by simulating
3:22:05potential user behaviors or market
3:22:07reactions before a product goes live.
3:22:09With these insights, teams can make
3:22:11proactive adjustments, reducing costly
3:22:14rework later. Embracing this approach
3:22:17helps foster a culture of agility,
3:22:19experimentation, and datadriven
3:22:22decision-making.
3:22:23[Music]
3:22:30Welcome to this tutorial on using an AI
3:22:33powered brainstorming tool to generate
3:22:35creative product ideas and explore new
3:22:38possibilities.
3:22:40Today I'll be demonstrating how you can
3:22:42leverage C-Pilot and AI brainstorming
3:22:44tool to generate innovative ideas,
3:22:47streamline the ideation process, and
3:22:50explore new directions for product
3:22:52development. By the end of this video,
3:22:54you'll know how to use C-Pilot to fuel
3:22:56creativity, expand possibilities, and
3:22:59ultimately drive your product strategy
3:23:01with fresh insights.
3:23:04Let's begin by opening Copilot. Copilot
3:23:07is a powerful AIdriven tool that assists
3:23:10teams in brainstorming and generating
3:23:12new ideas. It helps remove creative
3:23:15blocks by suggesting possibilities you
3:23:18may not have thought of, making it a
3:23:20valuable asset for product teams looking
3:23:22to explore new features or concepts.
3:23:26Step one, understanding the dashboard.
3:23:29First, we have the main chat window.
3:23:32This is where you interact with Copilot.
3:23:34You can type your queries or commands
3:23:36here, and Copilot will respond with
3:23:39helpful information and suggestions.
3:23:42Next, let's look at the sidebar. This
3:23:45section contains shortcuts to recent
3:23:47conversations, settings, and other
3:23:49tools. It's designed to help you quickly
3:23:52access important features, and manage
3:23:54your workflow efficiently. Finally, we
3:23:57have the toolbar located at the top or
3:24:00bottom of the dashboard. It includes
3:24:02options for formatting text, attaching
3:24:04files, and accessing additional
3:24:07features.
3:24:09Step two, setting the context for your
3:24:12brainstorming session. The first step is
3:24:14to provide Copilot with the context for
3:24:16your brainstorming session. In this
3:24:19case, we're looking for creative ideas
3:24:21to enhance a workflow automation
3:24:23product. Type a brief description into
3:24:26C-Pilot's input field. For example, you
3:24:29might enter generate ideas to improve
3:24:32user experience and automate repetitive
3:24:35tasks in a workflow automation product.
3:24:38This prompt will guide co-pilot in
3:24:41generating relevant creative suggestions
3:24:43that align with the needs of your
3:24:45product.
3:24:47Step three, reviewing generated ideas.
3:24:50After a few seconds, Copilot will
3:24:52present a series of ideas based on your
3:24:54prompt. These ideas will appear as
3:24:57individual cards on the screen, each
3:24:59containing a unique suggestion. For
3:25:02example, Copilot might suggest intuitive
3:25:05interface, personalized dashboards, and
3:25:08contextual help. Copilot provides
3:25:11descriptions and potential benefits for
3:25:14each idea, helping you decide which ones
3:25:16to pursue. Step four, refining ideas.
3:25:20Copilot not only generates ideas, but it
3:25:23also allows you to refine them. For
3:25:25example, if you like the concept of AI
3:25:28powered suggestions but want more
3:25:30specificity, you can ask C-Pilot to dive
3:25:33deeper by selecting the suggested
3:25:35follow-up, tell me more about AI powered
3:25:37suggestion. Copilot will then generate a
3:25:40more detailed explanation of how this
3:25:43feature could work, including algorithms
3:25:45for tracking user activity, pattern
3:25:48recognition, and learning and
3:25:50adaptation. It also gives you a detailed
3:25:53list of the benefits of this feature.
3:25:56This refinement process helps you turn
3:25:58abstract ideas into actionable concepts
3:26:01that fit your product strategy. Step
3:26:04five, brainstorm using image generation.
3:26:07Copilot allows you to enter prompts and
3:26:10generate images based on your
3:26:12descriptions. This feature can come in
3:26:14handy when exploring new brand designs,
3:26:17logos, and generating other media. Let's
3:26:20explore this with an example. For this,
3:26:23we will start a new chat and enter
3:26:25create a logo for a workflow automation
3:26:28company called FlowHub. It will then
3:26:30generate multiple previews that you can
3:26:32review and select based on your
3:26:34preference. To take it further, you can
3:26:37also download or copy the image by using
3:26:40the options available on the screen.
3:26:43It's an easy way to streamline your
3:26:45brainstorming efforts when creating new
3:26:47features, workflows, or content.
3:26:50Conclusion: Copilot is an incredibly
3:26:53powerful tool for generating, refining,
3:26:55and organizing product ideas using AI by
3:26:59providing creative suggestions,
3:27:01collaborating with teams, and allowing
3:27:03for prioritization and export. Copilot
3:27:06helps product managers streamline the
3:27:08ideation process and stay ahead of the
3:27:11competition.
3:27:13[Music]
3:27:22In this video, we're exploring how AI is
3:27:25revolutionizing marketing by enabling
3:27:27new levels of personalization and
3:27:29automation, transforming it from a mass
3:27:32market approach to a personalized
3:27:34experience for every customer. Imagine
3:27:36marketing that doesn't just address a
3:27:38broad audience, but speaks directly to
3:27:41individual businesses.
3:27:43AI enables this level of personalization
3:27:45by analyzing customer data.
3:27:48For instance, Microsoft Dynamics 365 can
3:27:51adapt messages based on user
3:27:53interactions, turning raw data into
3:27:56campaigns that truly resonate. AI also
3:27:59enhances efficiency by automating
3:28:01repetitive tasks. This frees marketing
3:28:04teams to focus on strategy and
3:28:05creativity.
3:28:07Tools like Microsoft Power Automate help
3:28:10manage large-scale campaigns while
3:28:12Microsoft Teams supports streamlined
3:28:14scheduling and collaboration, making
3:28:17operations smoother and more productive.
3:28:19Personalization at scale means using AI
3:28:22and data to deliver relevant experiences
3:28:25to millions of users. Think about
3:28:27crafting custom sales pitches for global
3:28:30enterprises without AI. it would be
3:28:32overwhelming.
3:28:34AI makes your marketing efforts
3:28:36scalable, impactful, and more aligned
3:28:38with customer needs. By quickly
3:28:40analyzing user data, AI builds detailed
3:28:43customer profiles. Platforms like
3:28:46Microsoft Azure AI help map buyer
3:28:49personas and behaviors, making it easier
3:28:51to personalize content across channels
3:28:53such as email, dashboards, and executive
3:28:56summaries.
3:28:58These insights increase engagement and
3:29:00conversions. When enterprise software
3:29:03suggests relevant features to potential
3:29:05clients, it's AI translating data into
3:29:08meaningful actions, improving
3:29:10satisfaction and loyalty. Take an email
3:29:13campaign for example. AI can assess
3:29:15previous interactions to determine the
3:29:17best time to send messages, boosting
3:29:19open rates and effectively connecting
3:29:21with B2B clients. AI also enhances the
3:29:24entire customer journey from the first
3:29:27inquiry to post sale follow-ups. Tools
3:29:30like Microsoft customer insights create
3:29:32cohesive, memorable experiences that
3:29:34deepen relationships. This AIdriven
3:29:37approach results in more relevant
3:29:39campaigns and greater operational
3:29:41efficiency. Marketers can shift focus to
3:29:44innovation using insights to shape
3:29:46smarter, more effective strategies. As
3:29:48AI evolves, even more tools are emerging
3:29:51to anticipate client needs and refine
3:29:53marketing efforts. These technologies
3:29:55help you reach new levels of precision
3:29:57and customer satisfaction.
3:29:59Adopting AI into your workflows helps
3:30:02you stay competitive in today's
3:30:03fast-moving marketing environment. AI
3:30:05powered content creation tools are also
3:30:07transforming how marketers generate
3:30:09materials at scale. From blog drafts to
3:30:12social media posts and tailored product
3:30:14descriptions, AI can produce content
3:30:17aligned with customer segments. While it
3:30:19doesn't replace human creativity, it
3:30:21supports it, giving marketers more time
3:30:23to polish messages and focus on
3:30:25strategy.
3:30:26Tools powered by natural language
3:30:28processing, NLP, understand customer
3:30:31preferences and generate content that
3:30:33speaks directly to their interests. AI
3:30:36also helps optimize marketing budgets by
3:30:38reviewing campaign performance. AI can
3:30:41identify top performing strategies and
3:30:43automatically adjust budget allocations.
3:30:46This ensures smarter use of resources,
3:30:49maximizing ROI and reducing waste. For
3:30:52product managers, these insights inform
3:30:55product positioning and messaging that
3:30:56truly connect with the audience.
3:31:00Intelligent chat bots are another game
3:31:02changer. They provide round-the-clock
3:31:04support, answer common questions, and
3:31:06guide users through the sales process.
3:31:09By handling routine queries, chat bots
3:31:11let human agents focus on more complex
3:31:14issues.
3:31:15For product managers, analyzing chatbot
3:31:18conversations can uncover customer pain
3:31:19points, frequent concerns, and areas for
3:31:22product improvement, offering valuable
3:31:25real-time feedback. AI also introduces
3:31:28powerful predictive capabilities. By
3:31:30recognizing patterns in historical data,
3:31:32AI can forecast customer behavior,
3:31:35anticipate churn, and spot emerging
3:31:37trends. This allows businesses to
3:31:39personalize outreach, refine strategies,
3:31:42and act on opportunities before the
3:31:44competition.
3:31:45Product managers can use these insights
3:31:47to shape product road maps, and focus on
3:31:49features that meet future needs. In
3:31:52short, AI isn't just a tool. It's
3:31:54becoming a core part of modern
3:31:56marketing. Its ability to personalize,
3:31:59automate, optimize, and predict is
3:32:02transforming how businesses engage
3:32:03customers.
3:32:05For product managers, collaborating with
3:32:07marketing teams and embracing AI tools
3:32:10offers a competitive advantage and
3:32:12deeper customer understanding,
3:32:14ultimately driving better products and
3:32:17greater value.
3:32:18[Music]
3:32:29Welcome to the AI powered product
3:32:31manager. The world of product management
3:32:33is exciting, but it can also feel
3:32:35chaotic. Juggling numerous tasks,
3:32:38analyzing vast amounts of data, and
3:32:40striving to understand the everanging
3:32:42needs of your customers can be
3:32:43overwhelming. Today we'll explore how AI
3:32:47can transform product management, drive
3:32:49efficiency, foster creativity, and
3:32:51enable a deep connection with your
3:32:53customers. Product management is
3:32:55exhilarating, but it can also be a bit
3:32:57chaotic. There's so much data to analyze
3:33:00and so many customer needs to
3:33:02understand. It's a constant balancing
3:33:04act.
3:33:05>> But what if Iden had a powerful ally?
3:33:08Intergenerative AI, a revolutionary tool
3:33:10that's transforming the way product
3:33:12managers work. AEI has become my secret
3:33:15weapon. It helps me quickly perform
3:33:17basic data analysis like identifying
3:33:19trends in energy usage patterns or
3:33:22understanding customer preferences. It's
3:33:24invaluable for making informed
3:33:26decisions.
3:33:27>> AI is revolutionizing Aiden's workflow,
3:33:30offering him significant support at
3:33:32every stage.
3:33:34>> I leverage AI to analyze customer
3:33:36feedback, revealing key insights that
3:33:38help us understand their needs and pain
3:33:40points. It uncovers usage patterns,
3:33:43guiding us toward areas for product
3:33:45improvement. AI even helps me create
3:33:47clear documentation and engaging
3:33:50marketing materials, saving me countless
3:33:52hours.
3:33:53>> It can also act as a powerful
3:33:55brainstorming partner, generating fresh
3:33:57ideas and pushing you to think outside
3:33:59the box.
3:34:00>> Sometimes I feel stuck in a rut going
3:34:02through the same motions. Having AI as a
3:34:05brainstorming buddy helps me break out
3:34:07of those patterns and come up with
3:34:08creative solutions.
3:34:10>> From extracting insights to crafting
3:34:12polished communications, AI is an
3:34:14invaluable tool for product managers.
3:34:16>> And with AI assistance in creating
3:34:18training materials, our users get the
3:34:21most out of our product, leading to
3:34:23increased satisfaction and reduced
3:34:25support requests.
3:34:27AEI has been transformative. It's like
3:34:29having a team of experts working
3:34:31alongside me, empowering me to focus on
3:34:34what matters, creating a product that
3:34:36our users love.
3:34:37>> By embracing the power of AI, you can
3:34:39unlock a new level of productivity and
3:34:41innovation. Let AI be the game changer
3:34:43that transforms your product management
3:34:45journey.
3:34:47[Music]
3:34:57Welcome to the AI powered Toolbox, where
3:34:59we'll explore how AI tools are
3:35:01revolutionizing how product managers
3:35:03work, think, and innovate.
3:35:06AI has become an indispensable part of
3:35:08my toolkit. It's like having a team of
3:35:10experts working alongside me, helping me
3:35:12make smarter decisions, and deliver
3:35:14exceptional products.
3:35:16Meet Nia, a product manager who's
3:35:18embraced the power of AI to enhance her
3:35:20work. Nia understands that in today's
3:35:23competitive landscape, staying ahead
3:35:25requires leveraging the latest
3:35:26technologies and tools. AIA powered
3:35:29market research tools allow you to
3:35:31analyze massive data sets in a fraction
3:35:33of the time it would take manually. You
3:35:35can quickly uncover emerging trends,
3:35:38identify underserved customer segments,
3:35:40and gain a competitive edge. AI gives us
3:35:42a glimpse into the future, allowing us
3:35:44to anticipate market trends and
3:35:46proactively adapt our strategies. Forget
3:35:49about generic customer profiles. AI can
3:35:52create detailed user personas based on
3:35:54real data, helping you understand your
3:35:56target audience on a deeper level and
3:35:58tailor your product to their specific
3:35:59needs.
3:36:00>> With AI, we can tailor our products to
3:36:03the unique needs and preferences of each
3:36:05user, creating a personalized
3:36:07experience.
3:36:08>> Staying ahead of the competition is
3:36:10crucial.
3:36:11AIE powered competitive analysis tools
3:36:14can track your rivals every move,
3:36:16providing real-time insights into their
3:36:17strategies, pricing, and customer
3:36:19sentiment. We need to stay proactive in
3:36:22this competitive landscape. AI gives us
3:36:25the insights we need to anticipate
3:36:26market shifts and stay ahead.
3:36:29>> Content creation can be timeconuming.
3:36:31AI can generate highquality copy and
3:36:34visuals in a fraction of the time,
3:36:36freeing you up to focus on strategy and
3:36:38creativity.
3:36:39AI helps us create engaging content
3:36:41tailored to our target audience. It's a
3:36:44huge timesaver.
3:36:45>> Customer support is essential, but it
3:36:47can also be overwhelming. AI powered
3:36:50chat bots can handle routine inquiries,
3:36:52allowing your team to focus on complex
3:36:54issues and provide a more personalized
3:36:56touch.
3:36:57Our AI chatbot has been a great asset.
3:37:00It handles many routine questions,
3:37:02freeing up our team to focus on
3:37:03providing support to those who need it
3:37:05most. From market analysis and user
3:37:08research to content creation and
3:37:10customer support, AI tools are
3:37:12transforming every aspect of product
3:37:14management.
3:37:16[Music]
3:37:26Imagine making datadriven product
3:37:28decisions with confidence, optimizing
3:37:31resources, and launching successful
3:37:33products. That's the power of AI in
3:37:36product planning. In this video, we're
3:37:38going to uncover how artificial
3:37:39intelligence is transforming the way
3:37:41product managers create, manage, and
3:37:44execute their road maps. We'll explore
3:37:47how AI tools can assist in prioritizing
3:37:49features, allocating resources
3:37:51effectively, and ultimately ensuring
3:37:54that your product strategy aligns with
3:37:55market needs and business goals. The
3:37:58power of AI in product planning is
3:38:00transformative, especially within the
3:38:02enterprise and B2B landscape. This video
3:38:05explores how AI enhances product
3:38:06management by supporting roadmap
3:38:08creation, smarter decision-m, and
3:38:10efficient resource allocation to drive
3:38:12business growth. Product planning today
3:38:14feels like navigating a busy city. You
3:38:17need clear directions. In the past, you
3:38:20may have used Microsoft Excel as your
3:38:22map. Now AI acts like a real-time GPS,
3:38:26analyzing vast amounts of data far more
3:38:29effectively than spreadsheets, helping
3:38:31you track market trends and adjust
3:38:33course with confidence. Data-driven
3:38:36decision-making. This data-driven
3:38:38approach ensures that you're focusing
3:38:40your development efforts on the features
3:38:42that matter most, maximizing your return
3:38:45on investment and delivering a product
3:38:47that truly meets customer needs.
3:38:50Before AI, decisions were often based on
3:38:52gut feeling and limited tools, sometimes
3:38:55leading to missed opportunities. PowerBI
3:38:58is not an AI tool, but incorporates
3:39:01features for data analysis, helping you
3:39:03build road maps that align with business
3:39:05objectives. It's the difference between
3:39:08driving in the dark and having a
3:39:10reliable co-pilot.
3:39:12AI transforms how we prioritize features
3:39:15by evaluating customer feedback and
3:39:17analyzing market movements. It
3:39:19highlights the features that matter most
3:39:20for enterprise adoption. This insight
3:39:23helps you focus your efforts on what
3:39:25truly drives impact in B2B products like
3:39:28Microsoft Teams. Beyond prioritization,
3:39:31AI brings precision to resource
3:39:33planning. Tools such as Azure DevOps
3:39:35assess past project data and complexity
3:39:38to offer accurate timelines and workload
3:39:40estimates. This approach reduces
3:39:42uncertainty, improves predictability,
3:39:45and supports on-time delivery without
3:39:47overloading your teams.
3:39:51One of AI's key strengths is enabling a
3:39:54dynamic road map. As market feedback
3:39:57evolves, AI powered road maps adapt in
3:40:00real time, helping your products remain
3:40:01relevant and responsive. This level of
3:40:04agility strengthens your competitive
3:40:06edge in the B2B space.
3:40:08Risk management is another area where AI
3:40:10proves invaluable. Just as tools like
3:40:13Microsoft Defender anticipate cyber
3:40:15security threats, AI can highlight
3:40:17potential challenges in product planning
3:40:19before they escalate. This proactive
3:40:22insight allows teams to stay ahead and
3:40:24keep projects moving forward smoothly.
3:40:26Now think about the complex relationship
3:40:29between product development and market
3:40:31demand. Traditionally, this required
3:40:33manual research and educated guesses. AI
3:40:37shifts this paradigm by continuously
3:40:38scanning market signals, competitor
3:40:41moves, and customer sentiment. It
3:40:43enables proactive adjustments, allowing
3:40:45you to respond to shifts in demand
3:40:47before they become widespread trends.
3:40:50Picture identifying a growing interest
3:40:52in a new feature before it's even
3:40:54requested by the majority. AI gives you
3:40:57that foresight, helping you deliver
3:40:59solutions that resonate with your
3:41:00audience. AI also supports stronger
3:41:03collaboration. It provides a centralized
3:41:05hub for data and insights leading to
3:41:08more productive conversations among
3:41:09product managers, developers, marketing
3:41:12and sales teams. Imagine debating a new
3:41:15feature. Instead of relying on opinions,
3:41:17the team can refer to AI generated data,
3:41:20predicting impact, estimating effort,
3:41:22and assessing strategic fit. This
3:41:24encourages transparency, smarter
3:41:27decisions, and better alignment across
3:41:29teams. Some AI enabled platforms can
3:41:32even automate reporting and presentation
3:41:34creation, freeing time for high impact
3:41:36strategy and innovation. Finally, AI
3:41:39helps you understand how users engage
3:41:40with your product. It uncovers patterns,
3:41:43highlights friction points, and reveals
3:41:45how features are adopted.
3:41:47For example, if a specific workflow
3:41:49causes frequent drop offs, AI can
3:41:52identify the issue and suggest ways to
3:41:53improve it. These insights support a
3:41:56continuous improvement cycle where your
3:41:58B2B product evolves to meet user needs
3:42:01and maximize value. With AI, product
3:42:04planning becomes more responsive,
3:42:06collaborative, and insightful,
3:42:08empowering you to deliver better
3:42:09outcomes and stay ahead in the
3:42:11competitive enterprise landscape.
3:42:14This evolution isn't just about tools.
3:42:16It's about mindset. Embracing AI and
3:42:18product planning encourages a culture of
3:42:20innovation, agility, and customer focus.
3:42:24As technology and user expectations
3:42:26evolve, so must your approach. By
3:42:29integrating AI into your planning
3:42:31process, you position your organization
3:42:33to lead, adapt, and thrive in the
3:42:36future.
3:42:42[Music]
3:42:44Welcome to this video on using Copilot,
3:42:46an AI powered copywriting tool to create
3:42:49compelling product descriptions, ad
3:42:51copy, and email campaigns. Today, I'll
3:42:54be demonstrating how Copilot can help
3:42:57you save time and boost engagement by
3:42:59quickly generating highquality marketing
3:43:02copy for your product.
3:43:04By the end of this video, you'll know
3:43:06how to use Copilot to generate copy for
3:43:08different marketing purposes and refine
3:43:10it to align with your brand's voice.
3:43:14Let's begin by opening C-Pilot.
3:43:16Copilot is an AIdriven tool designed to
3:43:19help product managers and marketers
3:43:22create content with ease. Whether you
3:43:24need a product description, ad copy, or
3:43:27a marketing email, Co-Pilot can provide
3:43:30the creative spark and save time in the
3:43:32writing process. Step one, creating a
3:43:35compelling product description. The
3:43:37first task we'll focus on is generating
3:43:40a product description. To do this, start
3:43:43by entering, I want to generate a
3:43:45product description in the main chat
3:43:47bar. Copilot will then ask you some
3:43:49details about your product. Let's say
3:43:52we're launching a new task management
3:43:54app. You'll provide some basic details
3:43:56about the product in the input field,
3:43:59such as task management app that helps
3:44:02teams organize tasks, collaborate in
3:44:05real time, and meet deadlines with smart
3:44:07notifications.
3:44:09You can also add give me multiple
3:44:11descriptions to choose from to generate
3:44:13multiple options. Once you've provided
3:44:16the product details, Copilot will
3:44:18generate multiple product description
3:44:20options, each tailored to different
3:44:23tones or audiences.
3:44:25For example, one description might be
3:44:27concise and professional, tailored to a
3:44:30LinkedIn audience, while another might
3:44:33be with an engaging and dynamic voice
3:44:36targeting various age groups.
3:44:39You can select the description that
3:44:40resonates most with your brand or
3:44:43combine elements from different
3:44:44descriptions. For example, you might
3:44:47choose to merge the detailed and feature
3:44:49focused approach with friendly and
3:44:52approachable voice angled for a
3:44:54well-rounded product pitch.
3:44:57Step two, refining copy for your brand's
3:44:59tone. Once Copilot has generated a
3:45:02product description, you can refine the
3:45:05copy to match your brand's tone. For
3:45:07example, if your brand voice is more
3:45:09conversational and friendly, you can
3:45:12tweak the language to be more relaxed
3:45:14and informal. If your brand is
3:45:16professional and authoritative, you
3:45:18might prefer a more structured and
3:45:20formal tone. Let's say you want a
3:45:22friendly tone for the product
3:45:24description. You can adjust phrases by
3:45:26entering make this content more casual
3:45:29and friendly, and Copilot will adjust
3:45:31and replace phrases as necessary.
3:45:34Step three, crafting ad copy for
3:45:37campaigns. Now, let's move on to
3:45:39generating ad copy. Co-pilot is
3:45:41particularly effective for creating
3:45:43engaging and concise ad copy for
3:45:45platforms like Google Ads, Facebook, or
3:45:48Instagram. To start your ad generation
3:45:51process, enter something like, "We need
3:45:54ad copy for a task management app
3:45:56targeting small business owners,
3:45:58highlighting features like real-time
3:46:00collaboration, smart notifications, and
3:46:03deadline tracking. Copilot will then
3:46:06generate short, punchy ad headlines and
3:46:09text that grabs attention. For example,
3:46:13headline might say something like boost
3:46:15your small business efficiency with app
3:46:17name." It also highlights the key
3:46:20features and then provides descriptions
3:46:22for each feature available.
3:46:25You can review the options and select
3:46:27the one that best fits the messaging you
3:46:29want to communicate. You can also edit
3:46:32the suggestions to better align with
3:46:34your campaign's objectives, adjusting
3:46:36the tone or adding a unique selling
3:46:39point USP to strengthen the impact. Step
3:46:43four, generating email campaigns. Next,
3:46:46we'll use Copilot to generate copy for
3:46:49an email marketing campaign. Select the
3:46:52bring your ideas to life template and
3:46:54provide Copilot with the context. For
3:46:57example, let's create a product launch
3:46:59email by inputting a brief like create
3:47:03an email introducing our new task
3:47:05management app with realtime
3:47:07collaboration and deadline tracking. The
3:47:10goal is to get users to sign up for a
3:47:12free trial. Copilot will generate a
3:47:15complete email including a subject line,
3:47:18introduction, body, and call to action,
3:47:21CTA. An example output might look like
3:47:24this. Subject line. Boost your team's
3:47:27productivity with real time task
3:47:29management.
3:47:30Email body. We're excited to introduce
3:47:33our new task management app designed to
3:47:35help your team collaborate in real time
3:47:37and stay ahead of deadlines. With smart
3:47:40notifications and seamless task
3:47:42tracking, managing projects has never
3:47:44been easier. Ready to give it a try?
3:47:47Sign up for your free trial today and
3:47:49experience the difference.
3:47:52Step five, optimizing and tracking
3:47:54performance. Once you've generated and
3:47:57finalized your product descriptions, ad
3:47:59copy, or email campaigns, it's important
3:48:02to optimize the content for performance.
3:48:05You can do this with templates like
3:48:07visualize your data. By using the
3:48:10generate a chart feature, you can enter
3:48:12prompts like create a stacked bar chart
3:48:14showing the top SEO optimized words for
3:48:17a task management platform ad. Copilot
3:48:21will then analyze your prompt and
3:48:23execute task by generating a bar graph
3:48:25chart to help provide SEO friendly
3:48:28suggestions by ranking to help you
3:48:30optimize your ad copy. Here's what an
3:48:33example might look like for top SEO
3:48:36words ranked by optimization such as
3:48:38task, management, platform, etc. You can
3:48:43also continue by asking Copilot to
3:48:45provide more details about the data with
3:48:47the suggested prompt on the screen to
3:48:50understand the data by count. This can
3:48:53be extremely helpful in tracking your
3:48:55SEO words and matching them to user
3:48:57engagements in your ad copy, marketing
3:49:00emails, and descriptions.
3:49:03With other prompts, you can also test
3:49:05different CTAs or segment your audience
3:49:08to see which messages drive higher
3:49:10conversions by using Copilot to quickly
3:49:13generate and refine copy and set up new
3:49:16descriptions, ultimately improving your
3:49:18marketing performance. Conclusion. To
3:49:21summarize, using Copilot, you can
3:49:23quickly and efficiently generate product
3:49:26descriptions, ad copy, and email
3:49:29campaigns that save time and boost
3:49:32engagement. By leveraging AI, you're
3:49:35able to create highquality marketing
3:49:37copy tailored to your brand voice and
3:49:39optimize for performance, helping you
3:49:41reach your marketing goals with ease.
3:49:45[Music]
3:49:54AIdriven sales enablement is
3:49:56transforming how businesses succeed.
3:49:59Artificial intelligence or AI empowers
3:50:02sales teams to excel, ensuring more
3:50:04meaningful customer interactions and
3:50:07increased revenue. From offering real
3:50:09time insights to automating repetitive
3:50:11tasks, AI is reshaping sales strategies.
3:50:15By the end of this video, you'll be
3:50:17equipped to identify areas where AI
3:50:20assists sales professionals.
3:50:23Understand how AI boosts sales growth
3:50:25and strengthens customer relations.
3:50:29The sales field is inherently
3:50:31fast-paced. Adapting quickly, and
3:50:33understanding client needs are crucial.
3:50:35Yet, traditionally, much of this relied
3:50:38on guesswork and manual processes.
3:50:42Enter AI as a gamecher. By analyzing
3:50:45vast customer data sets, AI provides
3:50:48real time insights, aiding smarter
3:50:51decisions, and personalizing sales
3:50:53efforts. Tools like Microsoft Dynamics
3:50:56365, equipped with AI capabilities, help
3:51:00sales teams track customer interactions
3:51:02and preferences. This aligns sales
3:51:04efforts with individual client needs.
3:51:08Consider real time customer insights.
3:51:10Before AI, sales reps might rely on
3:51:13outdated or limited data. Today, AI
3:51:17tools analyze behavior, preferences, and
3:51:20pain points, enhancing client
3:51:22discussions. It's like having up
3:51:24totheminute intelligence on clients,
3:51:27vital for nurturing stronger
3:51:28relationships.
3:51:30Imagine preparing for a client meeting
3:51:32using Microsoft 365's AI tools. By
3:51:36assessing a client's engagement history
3:51:38and interests, you can tailor each
3:51:40presentation. This foresight anticipates
3:51:43client questions and ensures pitches
3:51:46focus strongly on clientspecific
3:51:48benefits.
3:51:49AI also crafts personalized product
3:51:52recommendations,
3:51:53analyzing customer data and previous
3:51:56purchases. AI suggests products or
3:51:59services that genuinely fulfill the
3:52:01client's needs, eliminating guesswork.
3:52:04Routine tasks can drain resources. AI
3:52:08steps in by automating repetitive
3:52:10processes, freeing sales teams to focus
3:52:13on building relationships. For example,
3:52:16AI in Microsoft Teams automates
3:52:18follow-ups, proposal generation, and
3:52:21more. Consider automated lead
3:52:24management. If a lead interacts with
3:52:26your online content, AI scores and
3:52:29prioritizes them, ensuring timely
3:52:31follow-up by your sales reps. AI within
3:52:35Microsoft's ecosystem streamlines this.
3:52:38Automated tools like AIdriven email or
3:52:41messaging platforms streamline
3:52:43follow-ups. AI enhanced voice analysis
3:52:46can even review sales calls, offering
3:52:49insights to improve communication and
3:52:51interaction approaches.
3:52:55AIdriven chat systems handle initial
3:52:58inquiries, freeing sales professionals.
3:53:01Tools like Microsoft's virtual agents
3:53:03can answer questions and qualify leads,
3:53:06allowing reps to dive into more complex
3:53:09client interactions.
3:53:11Personalized pitches also benefit
3:53:13immensely from AI. Using data insights,
3:53:16AI tailor content directly to clients
3:53:19specific interests, combining unique
3:53:21offerings with a strategic approach. AI
3:53:25in sales forecasting predicts trends,
3:53:27enabling companies to make decisions
3:53:29grounded in historical and current data.
3:53:33Microsoft's AI tools provide deep
3:53:35insights into potential opportunities,
3:53:38driving better resource allocation.
3:53:41These transformations show AI's pivotal
3:53:43role in enhancing sales. It unlocks new
3:53:46perspectives on customer relationships
3:53:48and streamlines operations, leading to
3:53:51tangible growth in sales outcomes. AI
3:53:54can transform sales even further.
3:53:57Imagine analyzing facial expressions
3:53:59during calls for immediate feedback on
3:54:01communication styles. As AI evolves, the
3:54:05blend of technology and human insight
3:54:07will continue to redefine business
3:54:09success. Integrate AI to amplify your
3:54:12sales team's capabilities. Balancing AI
3:54:15strengths with human skills creates a
3:54:18formidable strategy for today's dynamic
3:54:20market landscape. Imagine
3:54:32the frustration of a navigation app
3:54:34steering you the wrong way or a voice
3:54:37assistant that just doesn't understand
3:54:38you anymore. These aren't just
3:54:40annoyances. They're reminders of the
3:54:42unique challenges involved in managing
3:54:44AI products after launch. Unlike
3:54:47traditional software, AI systems don't
3:54:49stay the same. They evolve, learn, and
3:54:52sometimes veer off course if not
3:54:54carefully monitored. In this video,
3:54:56we'll explore the AI product life cycle
3:54:58and what makes it fundamentally
3:55:00different from traditional software.
3:55:02You'll learn about the continuous
3:55:03processes needed to keep AI systems
3:55:06accurate, relevant, and effective over
3:55:08time. By the end, you'll be able to
3:55:10discuss the unique challenges of
3:55:12managing AI products and explain why
3:55:14ongoing monitoring and improvement are
3:55:16not just recommended, they're essential.
3:55:19AI products differ from traditional
3:55:21software. They learn and adapt. This
3:55:24adaptation introduces unique challenges
3:55:26for product managers. They must
3:55:28consistently monitor performance, gather
3:55:30user feedback, and implement product
3:55:32improvements. This is not a one-time
3:55:35event. It's an ongoing cycle. The
3:55:37necessity for this continuous management
3:55:39approach stems from the adaptive nature
3:55:41of AI. These products exhibit a capacity
3:55:44for change that can be unpredictable,
3:55:47potentially impacting both performance
3:55:48and user experience. Product managers
3:55:51must develop a comprehensive
3:55:53understanding of and implement
3:55:55strategies to proactively address these
3:55:57dynamic shifts. A critical aspect of
3:56:00this process involves managing algorithm
3:56:02drift. This phenomenon occurs when an AI
3:56:05model's predictive accuracy degrades
3:56:07over time. This degradation is typically
3:56:10attributed to shifts in real world data,
3:56:12rendering the model's learned patterns
3:56:14less relevant. For instance, a customer
3:56:17service chatbot, initially effective,
3:56:20may experience a decline in performance
3:56:22as customer inquiries evolve, impacting
3:56:25its ability to provide accurate and
3:56:27relevant responses.
3:56:28Product managers employ sophisticated
3:56:31monitoring tools like Azure Monitor to
3:56:34detect and mitigate this drift.
3:56:36Integrating user feedback is another
3:56:38vital component. This feedback collected
3:56:41through methods such as surveys, user
3:56:43behavior tracking, and direct
3:56:45interaction provides actionable insights
3:56:48into product performance and user
3:56:50satisfaction. Product managers must
3:56:52develop robust mechanisms for analyzing
3:56:54this feedback to identify areas for
3:56:57improvement and inform model retraining
3:56:59strategies. In AI product management,
3:57:02continuous improvement isn't optional.
3:57:04It's a core necessity. AI products are
3:57:08not static. They evolve through constant
3:57:10learning and must be refined regularly
3:57:12to stay relevant and effective. Product
3:57:14managers need to establish structured
3:57:16processes for ongoing updates,
3:57:19incorporating rigorous testing and
3:57:20controlled deployment of new versions.
3:57:23Agile methodologies like scrum combined
3:57:25with continuous integration and
3:57:27continuous deployment or CI/CD pipelines
3:57:30are key to supporting this iterative
3:57:32development cycle. Ethical
3:57:34considerations play a critical role in
3:57:36AI product management. AI models can
3:57:39unintentionally reflect biases present
3:57:41in their training data, leading to
3:57:43unfair or inaccurate outcomes for
3:57:45certain user groups. For instance, a
3:57:48facial recognition system might struggle
3:57:50with accurately identifying individuals
3:57:52with darker skin tones. It's the
3:57:54responsibility of product managers to
3:57:56proactively address these issues by
3:57:58embedding fairness, accountability, and
3:58:01transparency into every stage of
3:58:03development and deployment. This
3:58:05includes implementing strategies to
3:58:07detect, assess, and mitigate bias to
3:58:09build more inclusive and trustworthy AI
3:58:11systems.
3:58:13Compliance with evolving regulatory
3:58:15landscapes is another critical aspect.
3:58:17AI products must adhere to a range of
3:58:20data privacy regulations such as the
3:58:22general data protection regulation GDPR
3:58:25and industry specific compliance
3:58:27requirements.
3:58:29Product managers must maintain a current
3:58:31understanding of these regulations and
3:58:33integrate compliance checks throughout
3:58:35the product life cycle. Effective
3:58:37monitoring and continuous improvement
3:58:39are key to maintaining performance,
3:58:41delivering a positive user experience,
3:58:43and building long-term trust. To
3:58:46navigate this landscape successfully,
3:58:48product managers need a strong grasp of
3:58:51the AI product life cycle along with its
3:58:53unique challenges. Tools like AB testing
3:58:56support this process by helping evaluate
3:58:58and optimize different versions of
3:59:00AIdriven solutions.
3:59:03[Music]
3:59:07Imagine
3:59:13a company developing an AI powered
3:59:15customer service chatbot. Initial user
3:59:18interactions reveal the chatbot
3:59:19misunderstands complex queries. Without
3:59:22iterative improvements, customer
3:59:24frustration increases, leading to a
3:59:26decline in satisfaction and potential
3:59:28customer loss. This scenario highlights
3:59:31why deploying an AI product without a
3:59:33robust iteration strategy can be
3:59:35detrimental. Iteration allows
3:59:38fine-tuning the AI based on realworld
3:59:40interactions, helping it stay aligned
3:59:42with evolving user expectations.
3:59:45This video offers a brief overview of
3:59:47the iterative nature of AI product
3:59:49development. Upon completion, you'll be
3:59:52able to discuss the iterative nature of
3:59:54AI product development, emphasizing the
3:59:56importance of continuous improvement
3:59:58based on data and feedback.
4:00:01AI products evolve in response to real
4:00:03world usage. They learn, adapt, and
4:00:06improve over time. They operate in a
4:00:08continuous loop of learning and
4:00:10adaptation driven by data and user
4:00:12behavior. This dynamic process helps
4:00:15them stay effective and relevant in
4:00:16changing environments. For instance, an
4:00:19AI powered marketing tool might
4:00:21initially struggle with accurate
4:00:22audience segmentation, but with each
4:00:25cycle of user interaction and data
4:00:27analysis, it gradually refineses its
4:00:29approach to deliver more precise
4:00:31results. Iteration is a necessity.
4:00:35Continuous improvement is essential for
4:00:37mitigating risks and maximizing product
4:00:39value. It helps fix errors quickly,
4:00:42preventing them from escalating into
4:00:43major issues. It also allows the product
4:00:46to adapt to changing user needs and
4:00:48market dynamics. User feedback provides
4:00:51qualitative insights, revealing pain
4:00:53points and areas for enhancement. Data,
4:00:56by contrast, provides measurable
4:00:59insights into user behavior. For
4:01:01instance, if feedback reveals that an AI
4:01:04powered language translation tool often
4:01:06misinterprets idiomatic expressions, the
4:01:09product team can respond by refining the
4:01:11training data set with more contextually
4:01:13appropriate examples, leading to
4:01:16improved accuracy and user satisfaction.
4:01:19AB testing is a useful way to improve AI
4:01:22products. It compares two versions of a
4:01:24feature like different designs or
4:01:26settings to see which one works better.
4:01:29This method takes guesswork out of
4:01:31decision-making by using real data to
4:01:33guide improvements. For example, if an
4:01:36app uses AI to suggest products, AB
4:01:39testing can show which version leads to
4:01:42more clicks or purchases. Product
4:01:44managers play a key role in guiding the
4:01:46ongoing improvement of AI products. They
4:01:49serve as a link between users,
4:01:50developers, and business goals. By
4:01:53collecting feedback through surveys,
4:01:55interviews, and analytics, they identify
4:01:57patterns and areas for improvement.
4:02:01Working closely with development teams,
4:02:03they help make changes that align with
4:02:04the overall product vision. For
4:02:06instance, if users report that a
4:02:08customer service chatbot gives
4:02:10inaccurate or slow responses, the
4:02:12product manager would collaborate with
4:02:14the team to improve the AI's language
4:02:16understanding and speed. The AI product
4:02:19life cycle is a continuous cycle of
4:02:21improvement. It doesn't end at launch.
4:02:24Ongoing management is essential to
4:02:25long-term success. This includes
4:02:28regularly tracking key performance
4:02:29metrics like accuracy, speed, and user
4:02:32engagement and collecting feedback
4:02:34through inapp surveys, reviews, and
4:02:36social media. These insights guide
4:02:39datadriven updates that keep the product
4:02:41relevant and effective. For instance,
4:02:44managing an AI tool for data entry would
4:02:47involve monitoring error rates, time
4:02:49saved, and its overall impact on
4:02:51productivity. For example, with an AI
4:02:54tool that enters data, teams might track
4:02:56how accurate it is, and how much time it
4:02:58saves. This ongoing cycle of updates,
4:03:01known as iteration, is essential, not
4:03:03optional. It helps the product adapt to
4:03:05changing user needs and technology
4:03:07trends, improving results over time, and
4:03:10shows users that their feedback matters.
4:03:12Ultimately, it builds trust and delivers
4:03:15lasting value to both customers and the
4:03:17business.
4:03:18[Music]
4:03:26Imagine you're a product manager that
4:03:27wants to improve an existing AI powered
4:03:30search feature in their application. The
4:03:33product team has developed a new ranking
4:03:35algorithm for the AI and wants to test
4:03:38if it leads to higher user engagement
4:03:41compared to the current algorithm. To do
4:03:44this effectively and safely, they decide
4:03:46to use an AB testing and experimentation
4:03:49platform like Launch Darkly. Before
4:03:52setting up the test in the platform, the
4:03:54product team needs to define the two
4:03:57versions of the AI search feature they
4:03:59are testing. the current algorithm,
4:04:01version A, the control, and the new
4:04:04algorithm, version B, the treatment.
4:04:06They also need to decide on the metric
4:04:08for success. For a search feature, a
4:04:11good metric could be the click-through
4:04:12rate on the search results provided by
4:04:14the AI. To start, we will create a
4:04:17feature flag that controls which version
4:04:20of the AI algorithm users experience. In
4:04:23Launch Darkly, navigate to the flag
4:04:26section. Feature flags allow you to
4:04:29control the visibility of different
4:04:31parts of your application. To create a
4:04:33new feature flag for our AI test, click
4:04:36the create flag button. We will name
4:04:39this flag something descriptive like new
4:04:42AI search ranking. This flag will
4:04:44determine whether the user gets the
4:04:46current or the new AI ranking algorithm.
4:04:50We need to define the variations for
4:04:52this flag. Set the configuration of the
4:04:54flag to experiment. This will set up a
4:04:58control and then the treatment for us to
4:05:00edit. For this test, we will have two
4:05:02variations, control and new algorithm.
4:05:06Replace treatment one with new algorithm
4:05:09and delete treatment 2. These are
4:05:11defined as string values that the
4:05:13application code will read to know which
4:05:16AI to use. Then we will create the flag.
4:05:20Once the flag has been created, we can
4:05:22set up targeting. This determines which
4:05:25users will see the flag and what
4:05:27variation they will receive. For an AB
4:05:30test, we want to expose a percentage of
4:05:32our users to each variation randomly. In
4:05:35the targeting rules, turn targeting on.
4:05:39We will configure a traffic allocation
4:05:41rule. Select the default rule that
4:05:44applies to all users and click edit. In
4:05:48the drop-down where it says control,
4:05:50click to see additional options. In this
4:05:54case, we are going to select manual
4:05:56percentage so that we can set the
4:05:58percentage roll out for each variation.
4:06:01For a standard AB test, you might start
4:06:03with a 50% allocation to control and 50%
4:06:07to new algorithm. The platform will then
4:06:11randomly assign users based on this
4:06:13percentage. Make sure to review and save
4:06:16this targeting rule. The experimentation
4:06:19platform needs to know which metrics to
4:06:22track to measure the success of the
4:06:24different variations. Navigate to the
4:06:27experiments tab for this feature flag.
4:06:30Click the create experiment button. Name
4:06:33the experiment search ranking algorithm
4:06:36AB test. Set the hypothesis to test to
4:06:40see if the new search algorithm
4:06:42increases the engagement of our users
4:06:44through higher click-through rate. Next,
4:06:47select the type feature change for the
4:06:49experiment type.
4:06:51Since our goal is higher engagement
4:06:53measured by clicks, select clickthrough
4:06:56rate as the primary metric. You will
4:06:58need to ensure your application is
4:07:00sending event data to the platform when
4:07:03a user interacts with the search
4:07:04results.
4:07:06You can also add secondary metrics if
4:07:08needed, such as conversion rate or time
4:07:11spent on page to get a more complete
4:07:13picture of the impact.
4:07:16Select the feature flag we just created
4:07:18and specify the variations being tested.
4:07:21Then we will set the audience. It should
4:07:24have the default rule we configured
4:07:26earlier shown automatically. We can
4:07:29adjust the amount of the audience that
4:07:30gets into the experiment here.
4:07:33Set the percentage to 100% so all users
4:07:36will be included in the experiment. Once
4:07:39the experiment is configured with
4:07:41variations, traffic allocation and
4:07:44metrics, you can start it. The platform
4:07:47will start collecting data as users
4:07:49interact with the feature flag in your
4:07:51application. As the experiment runs, the
4:07:54platform's dashboard will display the
4:07:57performance of each variation against
4:07:59the defined metrics. You can monitor the
4:08:02click-through rate for both the control
4:08:05and the new algorithm. Experimentation
4:08:08platforms provide statistical analysis
4:08:11to help you understand the results and
4:08:14determine if the difference in
4:08:15performance between the variations is
4:08:18likely due to the change in the AI
4:08:20algorithm and not just random chance.
4:08:23Based on the experiment results and
4:08:25statistical significance, the product
4:08:28team can make a datadriven decision. If
4:08:31the new algorithm significantly improves
4:08:33the click-through rate, they can fully
4:08:36roll out this version using the feature
4:08:38flag controls. Using experimentation
4:08:41platforms like Launch Darkly provides a
4:08:44controlled and measurable way to test
4:08:46the impact of changes to AI components
4:08:48on real users, enabling product teams to
4:08:52optimize their AI features based on
4:08:54data.
4:08:55[Music]
4:09:06AI is reshaping business by automating
4:09:08decisions and boosting efficiency. But
4:09:10it also carries significant
4:09:12responsibility. Without care, AI can
4:09:15reinforce existing social biases. Hiring
4:09:18tools may overlook qualified candidates
4:09:20and financial models may unfairly deny
4:09:22loans based on location. These real
4:09:25challenges demand attention.
4:09:27For enterprise product managers,
4:09:29building trust and transparency is
4:09:31essential to delivering AI systems that
4:09:33are both effective and fair. This video
4:09:36will explore the ethical implications of
4:09:38AI in enterprise products, including
4:09:41bias, fairness, accountability, and
4:09:44transparency, and explain why these
4:09:46principles are essential. Let's start
4:09:49with why ethics matters so much in AI
4:09:51for businesses. When you create or
4:09:54manage AI products, you're not just
4:09:56working with computer code. You're
4:09:57building systems that make important
4:09:59choices. And these choices affect real
4:10:01people. These systems often handle
4:10:04private information and can change
4:10:05things like who gets a job or who gets a
4:10:08loan. So your ethical decisions have a
4:10:11direct impact on whether things are fair
4:10:13for everyone. A major ethical problem in
4:10:16AI is something called algorithmic bias.
4:10:19This means AI systems when learning from
4:10:21existing data can pick up and repeat the
4:10:24biases that are already present in that
4:10:26data. For instance, imagine an AI tool
4:10:29used by courts to predict if someone
4:10:31will commit another crime. If that tool
4:10:34learns from past court records and those
4:10:36records show unfair treatment of certain
4:10:38groups, the AI might wrongly predict
4:10:40that people from those groups are more
4:10:42likely to reaffend.
4:10:44This can lead to those individuals
4:10:46receiving harsher sentences, continuing
4:10:48the cycle of unfairness. To prevent
4:10:51this, we need fairness. Fairness means
4:10:54making sure AI treats everyone equally,
4:10:56no matter their background. Moving from
4:10:59fairness to accountability, we must
4:11:01address the question of responsibility.
4:11:04When an AI system produces an error or
4:11:06causes harm, determining who is
4:11:08accountable is not straightforward. Is
4:11:10it the developer who wrote the code? the
4:11:13product manager who implemented it or
4:11:15the organization that deployed it.
4:11:17Establishing clear lines of
4:11:19accountability is essential for
4:11:20addressing errors and preventing future
4:11:22harm. For instance, if an AI powered
4:11:25medical diagnosis system makes a mistake
4:11:28leading to patient harm, the health care
4:11:31provider, the AI developer, and the
4:11:33product manager must all be held
4:11:35accountable for their respective roles.
4:11:37Transparency is a critical ethical
4:11:39consideration in enterprise AI. Users
4:11:42need to understand how decisions are
4:11:44made, especially when outcomes affect
4:11:46business operations or individuals
4:11:48lives. Blackbox algorithms, which offer
4:11:52little to no visibility into their
4:11:53reasoning, can undermine trust.
4:11:56Imagine an AI fraud detection system
4:11:58flags a transaction without explaining
4:12:00why. This can lead to confusion and loss
4:12:03of confidence. Users need to understand
4:12:05how AI decisions are made to trust them.
4:12:08That's why there's a growing focus on
4:12:10explainable AI or XAI. The goal is to
4:12:14provide clear, auditable insights,
4:12:16allowing users to interpret and trust
4:12:18the systems outputs. While still an
4:12:20evolving area, XAI is becoming
4:12:22increasingly important for building
4:12:24reliable and transparent AI systems. The
4:12:27significance of ethical AI extends
4:12:29beyond mitigating legal risks. It's
4:12:32about building sustainable and
4:12:33trustworthy products. Customers,
4:12:36regulators, and employees increasingly
4:12:38demand ethical AI standards.
4:12:40Incorporating ethical and transparent AI
4:12:43practices into the product development
4:12:45process not only strengthens user trust,
4:12:47but also fosters long-term innovation.
4:12:50It positions your enterprise ahead of
4:12:52the curve in a rapidly evolving market.
4:12:55Additionally, aligning with emerging
4:12:57regulations such as the European Union's
4:12:59AI act, which introduces strict
4:13:02standards for high-risisk AI
4:13:03applications is essential.
4:13:06Non-compliance can lead to significant
4:13:08legal and financial consequences, making
4:13:10responsible AI development both a
4:13:12strategic and regulatory imperative.
4:13:15As AI becomes central to enterprise
4:13:18operations, product managers play a key
4:13:20role in guiding its ethical use. By
4:13:23building fair, transparent, and
4:13:25accountable systems, you help extend
4:13:27AI's benefits across users,
4:13:29organizations, and society at large.
4:13:36[Music]
4:13:43Welcome to Level Up Your Prep. Today,
4:13:45we'll introduce you to the power of
4:13:47generative AI in your interview
4:13:49preparation journey. Meet Elijah, a
4:13:52talented, aspiring product manager eager
4:13:55to land his dream job. He's prepared,
4:13:58but as the big day approaches, the
4:14:00nerves are starting to set in. He
4:14:02understands that the competition is
4:14:04intense and he must perform at his
4:14:06absolute best to distinguish himself.
4:14:09>> I know I'm qualified, but what if I
4:14:11stumble on a tough question? What if I
4:14:13can't articulate my thoughts clearly or
4:14:15blank on a key question? And what about
4:14:17my resume? It looks good, but will it
4:14:20grab their attention in a sea of
4:14:21applicants?
4:14:22>> Elijah's concerns are shared by many job
4:14:25seekers. The interview process can be
4:14:28daunting, especially in a competitive
4:14:30field like product management. But what
4:14:32if there was a way to level up your
4:14:34preparation to gain that extra edge that
4:14:37sets you apart? AI can help you with the
4:14:39product management interview process.
4:14:41Crafting a standout resume and cover
4:14:44letter is essential. AI can analyze your
4:14:47documents, optimize keywords, and
4:14:49suggest improvements to ensure your
4:14:52application grabs the attention of
4:14:53recruiters.
4:14:55AI helped me highlight my most relevant
4:14:57skills and accomplishments, making my
4:14:59resume stand out.
4:15:01>> AI powered mock interviews allow you to
4:15:03practice your responses to common
4:15:05product management questions in a
4:15:07realistic, low pressure environment.
4:15:10You'll receive immediate feedback on
4:15:12your communication skills, clarity of
4:15:14thought, and ability to articulate your
4:15:16ideas. It's like having a personal
4:15:19interview coach available 24/7. The AI
4:15:22feedback has helped me refine my
4:15:24responses and boost my confidence.
4:15:26>> AI powered simulations allow you to
4:15:29experience realistic product management
4:15:31scenarios and test your decision-making
4:15:33skills. You'll receive instant feedback
4:15:36on your approach, helping you refine
4:15:38your problem solving abilities and
4:15:40prepare for the unexpected. These
4:15:43simulations have been incredibly
4:15:44helpful. They've allowed me to practice
4:15:46tackling real world challenges and gain
4:15:49valuable experience. AI is the key to
4:15:51unlocking a more confident and prepared
4:15:54you. Let's use this resource to refine
4:15:56your interview skills, boost your
4:15:58confidence, and open doors to exciting
4:16:01product management opportunities.
4:16:04[Music]
4:16:14In this video, we will explore
4:16:16strategies to excel in your product
4:16:17management interview. This pivotal stage
4:16:20offers you a platform to distinguish
4:16:22yourself by showcasing your abilities
4:16:24and strategic acumen. In today's dynamic
4:16:27tech landscape, companies seek
4:16:29individuals who not only possess a
4:16:31strong foundation in traditional product
4:16:33management principles, but also embrace
4:16:35emerging technologies such as generative
4:16:38AI. Let's explore the ways in which AI
4:16:41can bolster your interview readiness and
4:16:43serve as an asset in your professional
4:16:45journey. It's natural to experience
4:16:47nervousness before an interview. Have
4:16:49confidence in your abilities. Your
4:16:51accumulated experience forms a solid
4:16:54base. Effectively conveying your
4:16:56enthusiasm for enterprise software and
4:16:58B2B solutions can significantly
4:17:00differentiate you from other candidates.
4:17:03Product management interviews extend
4:17:04beyond simple question and answer
4:17:06exchanges. They might incorporate case
4:17:08studies requiring you to analyze
4:17:10specific scenarios or practical
4:17:12exercises such as sketching potential
4:17:14solutions on a whiteboard. Concentrating
4:17:17your preparation on questions related to
4:17:19enterprise software will prove highly
4:17:22beneficial and strategically leveraging
4:17:24AI can provide your responses with a
4:17:27distinct advantage. A common interview
4:17:29question you might encounter is describe
4:17:32a challenging situation and the methods
4:17:34you employed to address it. This is your
4:17:37opportunity to highlight your problem
4:17:39solving capabilities, particularly
4:17:41within the context of projects like the
4:17:44introduction of a new Microsoft Teams
4:17:46feature. Generative AI can help
4:17:48structure your response effectively.
4:17:50Utilize AI to compile a list of
4:17:52potential challenges you have
4:17:54encountered in previous roles, such as
4:17:56stringent deadlines or conflicting
4:17:58priorities. Select examples that are
4:18:00pertinent to enterprise software
4:18:02scenarios. Once you have outlined
4:18:04various scenarios, AI can further assist
4:18:06you in pinpointing specific instances
4:18:09that clearly demonstrate how you
4:18:11successfully navigated these challenges.
4:18:14Concentrate on detailing your actions,
4:18:16the resulting outcomes, and the key
4:18:18lessons you learned during significant
4:18:20projects within B2B environments. A
4:18:23strong understanding of prioritization
4:18:25is essential. Questions such as, how do
4:18:28you determine the priority of features
4:18:30and manage trade-offs? Assess your
4:18:32strategic thinking within the realm of
4:18:34enterprise software. Illustrate your
4:18:36approach by describing the frameworks
4:18:38you would use when prioritizing which
4:18:40new features to develop for Microsoft
4:18:42Office. For example, AI can also be a
4:18:45valuable resource in this area. Generate
4:18:48a list of established prioritization
4:18:50frameworks such as the Moscow method and
4:18:53articulate how you would apply these
4:18:55frameworks to specific enterprise
4:18:57software scenarios. Brainstorming
4:18:59potential trade-offs and their
4:19:01associated impacts with the assistance
4:19:02of AI effectively demonstrates your
4:19:04decision-making process. Underscoring
4:19:07your strategic considerations and
4:19:09maximizing the relevance of data in your
4:19:11analysis.
4:19:13Your knowledge of the industry will be
4:19:14assessed through questions like how do
4:19:17you stay informed about current trends?
4:19:19This is your chance to illustrate your
4:19:21learning habits and your passion for the
4:19:23industry. AI can help you compile a
4:19:26comprehensive list of relevant industry
4:19:28resources. Explain how staying informed
4:19:30about these resources enables you to
4:19:33remain current with new enterprise
4:19:34solutions such as updates in Microsoft
4:19:37Azure or Dynamics 365.
4:19:40Personal connections with products also
4:19:42hold significance. You might be asked to
4:19:45describe a product you admire and
4:19:47explain why. Showcase your passion for
4:19:49product management by critically
4:19:51analyzing products like Microsoft
4:19:53PowerBI, focusing on its user centric
4:19:56design principles.
4:19:58AI can be helpful here by aligning your
4:20:00chosen product with the interviewer's
4:20:02industry focus. Analyze the key
4:20:04features, strengths, and weaknesses of
4:20:07enterprise tools, emphasizing your
4:20:09appreciation for innovative and
4:20:10effective design. These examples
4:20:13illustrate the ways generative AI can
4:20:15strengthen your preparation for product
4:20:17management interviews. AI enhances your
4:20:20problem solving and communication
4:20:22skills, reinforcing your confidence and
4:20:24preparedness. Remember to use AI as a
4:20:27supportive tool, not as a substitute for
4:20:29your own insights and critical thinking.
4:20:31It should augment rather than replace
4:20:34your understanding. Leverage AI for
4:20:36generating initial ideas, structuring
4:20:39your thoughts logically, and adding
4:20:41relevant context to your responses.
4:20:43Prepare thoroughly by conducting
4:20:45comprehensive research on the company
4:20:47and the specific role you are applying
4:20:49for. Allow your genuine passion and
4:20:52unique skill set to shine through during
4:20:53the interview process. With the
4:20:56strategic support of AI and your
4:20:58dedicated effort, you will be well
4:21:00equipped to secure your desired product
4:21:02management role.
4:21:03[Music]
4:21:10Welcome to this video on using
4:21:12generative AI to enhance your resume and
4:21:15cover letter. Today, I'll be showing you
4:21:18how to leverage AI to tailor your resume
4:21:20and cover letter to match specific job
4:21:23descriptions, focusing on highlighting
4:21:26the skills and experiences required for
4:21:28product management roles in various
4:21:30industries. By the end of this video,
4:21:33you'll understand how to use AI to
4:21:35customize your job application
4:21:37materials, ensuring that you stand out
4:21:40by aligning your qualifications with the
4:21:42job you're targeting. Let's get started
4:21:44by opening C-Pilot, an AI powered
4:21:47writing assistant. Generative AI tools
4:21:50like Copilot and Gemini can quickly
4:21:53analyze job descriptions and suggest
4:21:55ways to tailor your resume and cover
4:21:58letter based on the keywords and skills
4:22:00mentioned in the job post. Step one,
4:22:04inputting the job description. The first
4:22:07step in enhancing your resume is to
4:22:09input the job description you're
4:22:11targeting. For example, let's say you're
4:22:13applying for a product manager role in
4:22:15the healthcare industry. You'll copy and
4:22:18paste the relevant sections of the job
4:22:20description into the AI tool. Here's an
4:22:23example of what the job might require.
4:22:25Experience with agile product
4:22:27management, skills in data analysis,
4:22:30stakeholder management, and crossf
4:22:32functional team leadership, familiarity
4:22:35with regulatory requirements in
4:22:37healthcare. You can use this example to
4:22:40enter a prompt like, "Help me prepare a
4:22:43resume for the following job
4:22:44description."
4:22:46Once the job description is entered,
4:22:48C-Pilot will analyze the key skills and
4:22:51qualifications needed for the role and
4:22:54generate a prompt suggesting things to
4:22:56include tailored to that description.
4:23:00Step two, tailoring your resume. After
4:23:03analyzing the job description, AI will
4:23:05suggest ways to tailor your experience
4:23:08to fit the specific role. For example,
4:23:11if the job emphasizes agile product
4:23:13management, Copilot may suggest
4:23:16highlighting relevant experience you
4:23:18have in leading agile teams or managing
4:23:21sprints. You can then use this to create
4:23:23a resume of your own with the relevant
4:23:26details. You can also choose to
4:23:28integrate suggestions into your resume
4:23:31by focusing on specific projects or
4:23:34roles where you demonstrated these
4:23:36skills. Let's refine the bullet points
4:23:39in the experience section. For example,
4:23:42by selecting the bullet you want to
4:23:44focus on and clicking on the AI tool
4:23:46help me write and choosing a formal
4:23:48tone, your bullet will be updated from
4:23:51the old bullet led crossfunctional teams
4:23:55to develop and launch successful
4:23:57products to an AI enhanced bullet guided
4:24:01interdisciplinary teams in the
4:24:03conceptualization, development, and
4:24:05execution of thriving products.
4:24:09Step three, highlighting relevant
4:24:11skills. Another way AI helps you
4:24:13customize your resume is by emphasizing
4:24:16relevant skills mentioned in the job
4:24:18description. If the posting highlights
4:24:20data analysis or stakeholder management,
4:24:23AI can recommend phrasing that
4:24:25highlights your proficiency in these
4:24:27areas. For example, if the job mentions
4:24:31datadriven decision-making, it may
4:24:33suggest you modify an existing bullet
4:24:35point to say collaborated with
4:24:38stakeholders to define product vision,
4:24:40strategy, and road map.
4:24:43Step four, creating a targeted cover
4:24:46letter. Now that we've tailored the
4:24:48resume, let's move on to generating a
4:24:50cover letter using Copilot. Start by
4:24:53inputting key information such as the
4:24:55company name, the job title, and your
4:24:57main qualifications for the role.
4:25:00Copilot will emphasize your experience
4:25:02with data analysis, stakeholder
4:25:04communication, and other relevant
4:25:06keywords. Copilot will generate a draft
4:25:09of your cover letter, which you can
4:25:11customize further to match your style
4:25:13and tone. Here's an example of a
4:25:15generated opening. I am writing to
4:25:18express my interest in the product
4:25:20manager position at XYZ company as
4:25:23advertised with a strong background in
4:25:25agile product management, data analysis,
4:25:28stakeholder management and crossf
4:25:30functional team leadership. I am
4:25:32confident in my ability to contribute
4:25:34effectively to your team and help drive
4:25:37the success of your healthcare products.
4:25:40Step five, tailoring the cover letter to
4:25:42the job description, just as we did with
4:25:45the resume. To do this quickly, copy
4:25:47paste your cover letter into your
4:25:48document and select areas of the cover
4:25:51letter that you want to focus on and use
4:25:53AI to summarize, bulletize, expand on,
4:25:56shorten, or rephrase. This allows you to
4:25:59tailor the cover letter to focus on the
4:26:01most relevant aspects of your
4:26:03experience.
4:26:04This level of specificity helps you
4:26:07demonstrate that you've not only read
4:26:08the job description, but that you have
4:26:10the precise skills and experience to
4:26:12match their needs. Step six, refining
4:26:16and finalizing your materials. Once your
4:26:19resume and cover letter are generated
4:26:21and tailored to the specific job, the
4:26:24final step is to refine and proofread
4:26:26the materials to ensure that your
4:26:28documents are both polished and
4:26:30professional and tell a cohesive story
4:26:32about your qualifications.
4:26:35Conclusion: Using AI tools like Copilot
4:26:38allows you to quickly and effectively
4:26:41tailor your resume and cover letter to
4:26:43specific job descriptions. By focusing
4:26:46on relevant skills, analyzing job
4:26:48descriptions, and generating targeted
4:26:50copy, you can save time and improve your
4:26:53chances of landing an interview.
4:26:56[Music]
4:27:05In this video, we will explore how AI
4:27:08technology is reshaping interview
4:27:10preparation, particularly within the
4:27:12competitive landscape of product
4:27:14management. Specifically, the session
4:27:16will demonstrate the capability of AI to
4:27:19simulate realistic interview scenarios
4:27:21relevant to enterprise software in
4:27:23businessto business or B2B environments,
4:27:26thereby offering essential practice and
4:27:28insightful feedback. Succeeding in a
4:27:31product management interview requires
4:27:33more than just a well-crafted resume. It
4:27:35necessitates demonstrating your capacity
4:27:38for strategic thought, effective problem
4:27:40solving, and adaptability to the
4:27:42intricacies of enterprise demands. AI
4:27:45mock interviews can become a powerful
4:27:47tool in your arsenal, particularly in
4:27:50refining your abilities when working
4:27:51with platforms like Microsoft Azure or
4:27:54Dynamics. Traditional mock interviews
4:27:56conducted with friends or mentors might
4:27:58lack the necessary specificity and
4:28:00flexibility. However, AI mock interviews
4:28:04allow you to participate in practice
4:28:06scenarios that accurately reflect the
4:28:08challenges you might encounter while
4:28:10managing enterprise software products
4:28:11for business clients.
4:28:13Envision having a virtual guide that
4:28:15aids you in navigating complex subjects
4:28:18such as cloud computing or B2B product
4:28:20deployment. AI powered interviews enable
4:28:23you to simulate these discussions,
4:28:25allowing you to refine your responses to
4:28:27typical inquiries. For instance, how
4:28:29would you leverage data insights from
4:28:32Microsoft PowerBI for market
4:28:34forecasting?
4:28:35A key advantage is the ability to
4:28:37customize your interview experience. You
4:28:39can tailor the AI to concentrate on
4:28:42enterprise priorities such as the
4:28:44integration of Microsoft Teams within
4:28:46product management workflows, ensuring
4:28:48your readiness to discuss various
4:28:50industry trends and technical
4:28:52innovations.
4:28:53Real-time feedback is invaluable. AI
4:28:56evaluates your responses instantly,
4:28:58highlighting your strengths, such as
4:29:00your comprehension of software as a
4:29:02service or SAS models and suggesting
4:29:04areas where improvement can be made.
4:29:06This continuous feedback loop plays a
4:29:08vital role in developing your competence
4:29:11and bolstering your confidence for
4:29:13actual interviews.
4:29:16This iterative process allows you to
4:29:18practice and refine your answers
4:29:19repeatedly, all at your convenience.
4:29:22Consider the significant impact of
4:29:24approaching your next interview with the
4:29:26knowledge that you are thoroughly
4:29:28prepared to discuss how you might
4:29:29enhance existing Microsoft ecosystems
4:29:32within large corporate environments.
4:29:34As you prepare for roles in the tech
4:29:36industry, investigating tools like
4:29:39Exponent, Pramp, and interviewing IO can
4:29:42prove beneficial. They provide
4:29:44customized mock interviews designed to
4:29:47assist you in navigating these critical
4:29:48conversations within enterprise product
4:29:51management.
4:29:52Furthermore, AI powered mock interviews
4:29:55extend beyond basic question and answer
4:29:57sessions. They can incorporate
4:29:59behavioral questions designed to assess
4:30:01your soft skills such as leadership,
4:30:03communication, and teamwork all within
4:30:06the context of enterprise product
4:30:07management. The AI can analyze your
4:30:10responses not just for content, but also
4:30:12for clarity, conciseness, and the
4:30:15overall structure of your answers. This
4:30:17nuanced feedback helps you refine not
4:30:19only what you say, but how you say it. A
4:30:22critical element in conveying confidence
4:30:24and competence to your interviewers.
4:30:27Consider a scenario where you're asked
4:30:28about a time you had to navigate a
4:30:31conflict within a crossf functional team
4:30:33during a product launch for a B2B
4:30:35client. The AI can simulate this
4:30:37situation, prompting you with follow-up
4:30:39questions that probe deeper into your
4:30:41problem solving approach, your ability
4:30:43to empathize with different stakeholders
4:30:46and your strategies for reaching a
4:30:47resolution. This level of detailed
4:30:50interaction is difficult to replicate in
4:30:52traditional mock interviews and provides
4:30:54invaluable insights into your behavioral
4:30:56patterns under pressure. Moreover, AI
4:30:59can adapt the difficulty and complexity
4:31:01of the interview questions based on your
4:31:03performance. If you demonstrate a strong
4:31:06understanding of fundamental concepts,
4:31:08the AI can introduce more challenging
4:31:10scenarios that test your strategic
4:31:12thinking and your ability to handle
4:31:13ambiguity, common traits sought after in
4:31:16product managers for enterprise
4:31:18solutions. This adaptive learning curve
4:31:20ensures that you are continuously
4:31:22challenged and prepared for the full
4:31:24spectrum of interview questions you
4:31:26might encounter. Beyond individual
4:31:28practice, some AI platforms offer the
4:31:30ability to record and review your mock
4:31:32interview sessions. This self assessment
4:31:35coupled with the AI's feedback provides
4:31:37a powerful tool for identifying areas
4:31:39where you can improve your delivery,
4:31:41your body language if your camera is
4:31:43enabled, and your overall presentation.
4:31:46You can revisit your responses, analyze
4:31:48your strengths and weaknesses, and track
4:31:50your progress over time. Integrating AI
4:31:53into interview preparation also allows
4:31:56for a more datadriven approach to skill
4:31:58development. The AI can track your
4:32:00performance across various interview
4:32:02categories such as product strategy,
4:32:05technical acumen, and market analysis,
4:32:07providing you with a clear understanding
4:32:09of your areas of strength and those
4:32:11requiring further attention.
4:32:13This objective feedback helps you focus
4:32:16your preparation efforts more
4:32:17effectively, maximizing your chances of
4:32:20success in your actual product
4:32:21management interviews within the
4:32:23enterprise sector. In essence, AI
4:32:26powered mock interviews represent a
4:32:28significant evolution in interview
4:32:30preparation. They offer a personalized,
4:32:33adaptive, and datadriven approach to
4:32:35honing your skills in building
4:32:37confidence, specifically tailored to the
4:32:39demands of product management roles in
4:32:41the complex world of enterprise software
4:32:43and B2B solutions. By leveraging this
4:32:46technology, you can gain a distinct
4:32:48advantage in a competitive job market
4:32:50and approach your interviews with
4:32:52greater preparedness and assurance.
4:32:54[Music]

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