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Microsoft AI Product Manager Course 3 - Product Strategy and Roadmapping — Transcript

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0:08In this video, we will explore the
0:10essential role of product strategy and
0:13road mapping within enterprise software.
0:16We examine the core principles that
0:17support the creation of effective
0:19business solutions, ensuring products
0:22thrive in a competitive landscape.
0:25The process begins with an understanding
0:27of product strategy which serves as a
0:29roadmap from the initial software
0:31concept to a thriving product that
0:33stands out in a competitive market. A
0:36well-defined product strategy
0:38articulates the software's purpose,
0:40identifies target users, and establishes
0:43distinct competitive advantages. The
0:46first step in product strategy involves
0:48identifying and understanding the target
0:50audience through both primary methods
0:53like user interviews and surveys to
0:56directly uncover their needs and
0:57challenges and secondary methods such as
1:00analyzing market studies and industry
1:03trends to gain broader insights. A clear
1:06understanding of endusers and their
1:08challenges is crucial. This involves
1:11analyzing their pain points and the
1:13solutions they seek.
1:15For example, Microsoft Teams was
1:18developed to meet the growing need for
1:20seamless remote collaboration identified
1:23through understanding key customer
1:25requirements.
1:26Next, the product must establish a
1:29unique value proposition. This step
1:32involves identifying the features that
1:34make it stand out. Factors like
1:37innovation, ease of use, or enhanced
1:40security can be differentiators.
1:42Microsoft Excel, for instance, provides
1:45advanced data processing capabilities,
1:48offering users powerful analytical tools
1:51that increase its value. Comprehensive
1:53market research is essential for
1:55understanding the competitive landscape.
1:58Identifying market gaps creates
2:00opportunities for innovation.
2:02Before launching Azure, Microsoft
2:04analyzed cloud service demands to
2:06pinpoint areas for improvement, ensuring
2:09a competitive edge in the industry.
2:12A well ststructured product roadmap
2:14aligns stakeholders by outlining key
2:17milestones and objectives. It provides a
2:20clear development timeline, ensuring
2:22consistency and focus. Microsoft Office
2:25365, for example, continuously enhances
2:29user experience through integration
2:31updates, maintaining engagement and
2:33long-term success.
2:35Building anticipation before launch is
2:38critical. Effective strategies such as
2:41trailers, online campaigns, and
2:43influencer collaborations generate
2:46excitement. The Microsoft Surface Series
2:48gained significant traction through
2:50promotional efforts that emphasized its
2:53innovative design and performance
2:55capabilities.
2:56Post-launch optimization is equally
2:59important. Gathering user feedback and
3:01refining the product based on insights
3:04ensures continued improvement.
3:06Microsoft's Windows OS updates
3:09illustrate how iterative development
3:11driven by user input leads to enhanced
3:14functionality and usability. Keeping up
3:17with industry trends and best practices
3:19is vital. Leveraging project management
3:22tools and analytics platforms enhances
3:25decisionmaking.
3:26Emerging technologies like generative AI
3:29contribute to creating more intuitive
3:31user experiences, driving further
3:34innovation in product strategy.
3:36Successful software development depends
3:39on understanding target customers,
3:41defining a unique value proposition,
3:44maintaining a detailed roadmap, and
3:46leveraging industry best practices.
3:49Product management is a dynamic field
3:51that requires adaptation and continuous
3:54learning for sustained success. Key
3:57elements of a strong product strategy
3:59include customer insights, market
4:02research, and competitive analysis.
4:04These elements lay the foundation for
4:07building effective software solutions
4:09that meet user needs and differentiate
4:11themselves in the market. A strategic
4:14approach to product development is
4:16iterative. Product strategy is not a
4:19fixed document. It evolves based on
4:22market trends, technological
4:24advancements, and user feedback. This
4:27adaptability ensures products remain
4:29relevant and competitive over time.
4:32Clear articulation of a product's vision
4:34is crucial. A well-defined vision aligns
4:37development and marketing efforts while
4:40communicating long-term goals.
4:42Microsoft's Hollow Lens, for example,
4:45was developed with a vision of merging
4:47digital and physical realities, guiding
4:50its augmented reality capabilities.
4:53Efficient resource allocation plays a
4:55key role in execution. Managing budgets,
4:58timelines, and personnel effectively
5:01ensures priorities are addressed. Early
5:04stage software development often focuses
5:06on core functionalities,
5:09laying a strong foundation for future
5:10enhancements and scalability.
5:13Risk assessment and mitigation are
5:15integral to a successful product
5:17strategy. Identifying potential risks,
5:20whether technological, financial, or
5:23competitive, allows for proactive
5:25solutions. Microsoft's strategic
5:28expansion into cloud services minimized
5:30the risks associated with traditional
5:33software licensing, ensuring long-term
5:36growth.
5:40[Music]
5:47Welcome to the idea factory. In the
5:49world of product management, especially
5:51in the gaming industry, generating
5:53innovative and exciting ideas is key to
5:55success. Today, we'll explore some
5:58brainstorming and ideation techniques to
6:00help you come up with some exciting game
6:01ideas. Hi there, I'm Nina and I love
6:05coming up with new game ideas. Let's
6:07explore some techniques that can help
6:09you unlock your creativity and generate
6:11awesome game concepts. Brainstorming is
6:14a classic technique where we gather as a
6:16team and let our ideas flow freely. No
6:19idea is too silly or out there. The goal
6:22is to generate a large quantity of ideas
6:24quickly. We build on each other's
6:26suggestions and see where our
6:28imaginations take us. Remember, quantity
6:31often leads to quality. Next, mind
6:34mapping is a visual brainstorming
6:36session. We start with a central idea or
6:38theme and branch out connecting related
6:41concepts, mechanics, or even emotions.
6:44This helps us see the big picture and
6:46discover unexpected connections between
6:48ideas. It's a great way to organize your
6:51thoughts and explore different
6:52possibilities.
6:54Role- playinging is where we get to step
6:56into the shoes of our players. We act
6:58out different scenarios, experiment with
7:01game mechanics, and try to experience
7:03the game world firsthand. This helps us
7:06understand how players might interact
7:08with our game and identify potential
7:10challenges or opportunities. It's also a
7:13lot of fun. Another tip is to simply
7:15look around you. Inspiration can be
7:18found in the most mundane tasks. We look
7:21at everyday activities like cooking,
7:23cleaning, or commuting. Then we think
7:25about how we can turn them into fun and
7:28engaging game experiences. This approach
7:30can lead to unique and relatable game
7:32concepts. And don't limit yourself to
7:35just games. We explore books, movies,
7:38art, music, and even nature to find
7:41inspiration for new game worlds,
7:43characters, and stories. Sometimes the
7:46most unexpected sources can spark the
7:48most creative ideas. The key to
7:50successful ideiation is to keep an open
7:52mind, embrace collaboration, and never
7:55stop exploring. Remember, the best ideas
7:58often come from the most unexpected
8:00places.
8:02Imagine
8:07[Music]
8:09you're a product manager at a software
8:11company. Your team is tasked with
8:13developing the next generation of your
8:15flagship collaboration tool. You want to
8:18integrate cuttingedge AI features to
8:20streamline workflows, but you're facing
8:23a blank page. How do you even begin to
8:26brainstorm?
8:27This video will demonstrate how to use
8:29Microsoft Copilot to generate and refine
8:32product ideas, particularly those that
8:35incorporate AI and cloud
8:37functionalities.
8:39We'll walk through a process you can use
8:41to go from a general idea to a more
8:43detailed concept.
8:46Let's begin by understanding the power
8:48of using AI to spark innovation. Copilot
8:52can analyze large data sets and identify
8:54trends which can help find potential
8:57product opportunities.
8:59To start, consider a broad prompt. For
9:01example, generate product ideas for an
9:04enterprise collaboration tool using AI.
9:07Copilot provides several ideas. These
9:10might include features like AIdriven
9:12meeting summaries, predictive task
9:14assignments, or automated data analysis
9:16within shared workspaces.
9:19Now refine the ideas. Let's focus on the
9:22AIdriven meeting summaries. You can ask
9:25Copilot to expand on the AIdriven
9:28meeting summary feature. Copilot can
9:31detail how this feature could work. It
9:34might suggest automatically generating
9:36key takeaways, action items, and
9:38sentiment analysis from meeting
9:40transcripts.
9:42Next, consider the cloud integration.
9:45Ask Copilot, how can this meeting
9:48summary feature integrate with Azure
9:50cloud services? Copilot can suggest
9:52storing meeting transcripts and
9:54summaries in Azure blob storage and
9:57using Azure cognitive services for
10:00sentiment analysis.
10:02Now let's explore another idea,
10:04predictive task assignments. Ask C-Pilot
10:08explain how predictive task assignments
10:11could work in detail. C-Pilot might
10:14detail how the system can analyze team
10:16member skills, project deadlines, and
10:19past performance to assign tasks
10:21efficiently. This can improve project
10:24management and reduce delays. Consider
10:27the scalability of this feature. Ask
10:30Copilot, how can this feature scale for
10:32a large enterprise with thousands of
10:34users? C-Pilot can suggest using Azure
10:38Kubernetes Service for container
10:40orchestration. Azure Cosmos DB for
10:43scalable data storage and Azure load
10:46balancer to handle increased traffic.
10:49Let's try a different approach. Ask
10:52Copilot. Generate product ideas that use
10:55AI to improve customer support for
10:57cloud-based software. C-Pilot might
11:00suggest ideas like AI powered chat bots,
11:03automated ticket routing based on
11:05sentiment analysis, and predictive
11:07maintenance alerts for cloud services.
11:11Focus on the AI powered chat bots. Ask
11:15C-Pilot detail how an AI chatbot can
11:18improve customer support for a complex
11:21cloud platform. Copilot can describe how
11:24the chatbot can understand natural
11:26language, access knowledge bases and
11:29escalate complex issues to human support
11:32agents. It can also suggest using
11:34Azurebot service for development and
11:37deployment. Now consider the data
11:40privacy aspects. Ask Copilot what are
11:43the data privacy considerations for an
11:45AI chatbot handling sensitive customer
11:48data. C-Pilot can highlight the need for
11:51data encryption, compliance with
11:53regulations like GDPR
11:56and the importance of user consent. It
11:59might also suggest using Azure Key Vault
12:01for secure key management. Let's refine
12:04one last idea. Ask C-Pilot. Explain how
12:09predictive maintenance alerts would work
12:11within a cloud platform. C-Pilot can
12:14detail how AI can analyze system logs,
12:17performance metrics, and usage patterns
12:20to identify potential issues before they
12:23cause downtime. It can suggest using
12:25Azure machine learning to train
12:27predictive models. Finally, consider how
12:30to present these ideas. Ask Copilot, how
12:34can I visually present these product
12:36ideas to stakeholders? C-Pilot can
12:39suggest using tools like PowerPoint,
12:41PowerBI, or even mind mapping software
12:44to create clear and engaging
12:46presentations. It may also give
12:48suggestions for layouts and key points
12:51to emphasize. By using copilot, you can
12:54quickly generate and refine product
12:56ideas, explore AI and cloud
12:59functionalities, and consider various
13:02aspects like scalability, data privacy,
13:05and presentation.
13:07This helps streamline the ideation
13:09process and focus on creating innovative
13:12products. Remember to always refine,
13:16iterate, and validate the ideas
13:18generated with copilot. It is a powerful
13:21tool to begin the ideation process, but
13:24human creativity and validation are
13:26still essential.
13:28[Music]
13:39In this video, we will explore the
13:41process of transforming product ideas
13:44into tangible realities within
13:46enterprise software development. While
13:48ideas form the foundation, successful
13:51solutions arise from careful evaluation
13:53and prioritization.
13:55We will examine how to distinguish
13:57impactful concepts from those less
13:59viable.
14:01You will learn strategies for assessing
14:03and ranking product ideas. By the end of
14:06this session, you will understand how to
14:08evaluate concepts based on feasibility,
14:10market potential, and alignment with
14:13business goals, aiding in informed
14:15decisionmaking.
14:17Let us begin by understanding the
14:19importance of evaluation and
14:20prioritization.
14:22Product development resources such as
14:24time, budget, and workforce are often
14:27constrained. Therefore, the goal becomes
14:30the efficient allocation of these
14:32resources. By evaluating and
14:34prioritizing ideas, you direct
14:36investments toward projects that yield
14:39the most business value, address
14:41customer needs, and maximize returns. We
14:44implement several key strategies to
14:47guide the decision-making process.
14:49First, assess feasibility. The idea must
14:53be deliverable with existing skills and
14:55technology within a practical time frame
14:57and budget. Consider Microsoft's
15:00transition to a subscription model for
15:02office. This idea was achievable given
15:05their established cloud infrastructure.
15:08Crucially, market research validates
15:10software demand and its potential. It
15:13identifies target audience needs and
15:15gaps in existing solutions, informing
15:18development to directly address
15:20requirements and uncover opportunities,
15:23mirroring Microsoft's pre-team strategy.
15:27Assuming demand without validation is a
15:29major risk. Building software on
15:32unsubstantiated needs wastes resources
15:35and time, likely resulting in a product
15:37lacking market relevance and adoption.
15:41Thorough research avoids this pitfall by
15:43confirming demand and understanding
15:46specific user needs. New product
15:48development must strategically align
15:51with overarching business objectives
15:53like revenue growth, user expansion, or
15:56brand enhancement, ensuring ideas
15:58conform to the company's vision, as seen
16:01in Microsoft's AI integration for
16:03innovation leadership. Furthermore, the
16:06idea should strategically fit,
16:08complementing existing products or
16:10guiding the company into profitable new
16:13areas, exemplified by Microsoft's
16:16acquisition of LinkedIn to expand its
16:18professional network reach.
16:21All new developments involve risk. You
16:24must determine whether to pursue
16:25calculated risks for high potential
16:27ideas or opt for more certain outcomes.
16:31Consider innovations like Microsoft's
16:33investment in cloud competing with
16:35Azure. Evaluating and prioritizing
16:39product ideas is essential in software
16:41development. By scrutinizing
16:43feasibility, potential alignment with
16:46objectives, strategic fit, and risk, you
16:50guide decisions toward successful
16:52outcomes.
16:53Remember, not every idea will succeed.
16:56However, these strategies improve the
16:59likelihood of developing successful
17:01products. Embrace the challenge and rely
17:04on your judgment as you transform ideas
17:06into reality.
17:09Evaluating product ideas also
17:11necessitates a deep understanding of the
17:13competitive landscape. Analyze existing
17:16solutions and identify unique selling
17:18points. This allows for the development
17:21of products that stand out and provide
17:23distinct value to users. For example,
17:27when Microsoft entered the video
17:29conferencing market with Teams, they
17:31differentiated themselves by integrating
17:33it seamlessly with their existing Office
17:36365 suite. Furthermore, consider the
17:39scalability of the idea of how other
17:42groups feedback contributes to the
17:44success as well, business leaders, devs,
17:47etc. Flexibility and adaptability are
17:50vital for long-term success. Cloud-based
17:53solutions like Microsoft Azure
17:55demonstrate this principle by offering
17:57scalable infrastructure that can adjust
17:59to fluctuating demands. Gathering
18:02feedback from stakeholders, including
18:04potential users, developers, and
18:06business leaders is also essential. This
18:09collaborative approach provides diverse
18:12perspectives and helps refine ideas
18:14before significant resources are
18:16invested. User feedback ensures that the
18:19developed product meets realworld needs
18:22and solves actual problems. Finally,
18:25establish a clear evaluation framework.
18:28Define specific criteria and metrics to
18:30measure the success of each idea. This
18:34structured approach enables objective
18:36comparisons and inform decisionm. By
18:39implementing these additional
18:40strategies, you further refine your
18:42ability to transform promising ideas
18:45into successful enterprise software
18:47solutions.
18:49By consistently refining your evaluation
18:51process and adapting to evolving market
18:54dynamics, you enhance your capacity to
18:57consistently deliver impactful software
18:59solutions. This iterative approach
19:02promotes innovation and ensures
19:04sustained success in the dynamic
19:06landscape of enterprise software.
19:09[Music]
19:16Welcome to this video on evaluating and
19:18prioritizing product ideas. Today I'll
19:22walk you through how to use a scoring
19:24matrix to evaluate and prioritize
19:26product ideas based on feasibility,
19:29market potential, and alignment with
19:32business objectives. We'll use this
19:34matrix to bring a structured datadriven
19:37approach to decision-m, helping you
19:39focus on the most valuable product
19:41ideas. Evaluating and prioritizing
19:44product ideas can often be a challenge,
19:47especially when you have multiple
19:49concepts vying for attention. A scoring
19:52matrix is a simple yet effective tool
19:54that allows you to rate each idea across
19:57different criteria so you can make
19:59objective decisions about which ideas to
20:02pursue. Let's begin. We'll start with a
20:05blank spreadsheet. You can create this
20:07in any spreadsheet tool or use built-in
20:10templates from tools like Miro or
20:12Notion. The matrix typically consists of
20:15rows representing the product ideas you
20:17want to evaluate and columns
20:19representing the criteria you'll use to
20:21score them. For this example, we'll
20:24evaluate product ideas for a
20:25microlearning app. Let's say we have
20:28three ideas. One, adding gamification
20:31features. two, expanding into corporate
20:33training, and three, creating AI powered
20:37personalized learning paths. These will
20:39be our rows. Now, let's establish the
20:42criteria we'll use to evaluate each
20:44idea. Step one, defining evaluation
20:48criteria. Common criteria for evaluating
20:51product ideas include feasibility,
20:53market potential, and alignment with
20:56business objectives. Feasibility refers
20:58to how realistic it is for your team to
21:01build the feature given your resources,
21:03budget, and technical capabilities.
21:06Market potential assesses the
21:07opportunity for growth, such as how much
21:10demand there is for the feature.
21:12Finally, alignment with business
21:13objectives ensures that the product idea
21:16contributes to your long-term strategy.
21:19Step two, assigning weights. Not all
21:22criteria carry the same importance. You
21:25might decide that market potential is
21:27more important than feasibility or that
21:30alignment with your business goals
21:32should be given higher priority. For
21:35this reason, we'll assign weights to
21:37each criterion. For this exercise, let's
21:40give feasibility a weight of 20%, market
21:43potential 40%, and alignment with
21:46business objectives 40%. This helps
21:49ensure that the criteria most critical
21:51to your success have the most influence
21:54over the final scores. Step three,
21:57scoring product ideas. Now that we've
22:00defined our criteria and weights, we can
22:03begin scoring each product idea on a
22:05scale of 1 to 5, with one being the
22:08lowest and five being the highest. Let's
22:12start with the idea of adding
22:13gamification features. In terms of
22:15feasibility, we'll give this idea a
22:18score of four. Gamification is a feature
22:20we could likely build with our current
22:22team and resources, and the complexity
22:25is manageable. Next, let's consider
22:28market potential. Research shows that
22:30gamification is increasingly popular and
22:33users are more likely to engage with
22:36content that incorporates game
22:37mechanics. We'll assign a score of four
22:40here as well. for alignment with
22:42business objectives. Gamification fits
22:45well with our goal of increasing user
22:47engagement. So, we'll give it a five.
22:50Now, let's move to the idea of expanding
22:52into corporate training. For
22:54feasibility, we'll give this idea a
22:56score of three. While it's possible, it
22:59may require hiring additional resources
23:01or expertise, and we may need to adjust
23:04our platform to meet the needs of
23:06corporate users. As for market
23:08potential, corporate training represents
23:10a huge market, but we need to consider
23:13that it may take time to establish
23:15partnerships and build credibility in
23:18the space. We'll give this a three as
23:20well. In terms of alignment, while
23:23corporate training could be a valuable
23:24revenue stream, it doesn't align as
23:27closely with our core mission of
23:29individual learning experiences. So,
23:31we'll assign a score of three here.
23:34Finally, let's evaluate the idea of AI
23:38powered personalized learning paths. In
23:41terms of feasibility, this idea scores a
23:43two. AI implementation could be complex
23:46and require advanced technical
23:48capabilities which may not be feasible
23:51with our current resources. However, for
23:53market potential, we'll assign a four.
23:56Users are increasingly looking for
23:58personalized learning experiences, but
24:01it isn't the only motivating factor for
24:03our customers. For alignment, this idea
24:06fits perfectly with our long-term
24:08business goal of improving learning
24:10outcomes for users. So, we'll give it a
24:12five. Step four, calculating weighted
24:15scores. Now that we've scored each idea,
24:18we'll multiply each score by its
24:20corresponding weight and sum up the
24:22totals. For example, for gamification,
24:25we multiply four feasibility by2, four
24:29market potential by4 and five alignment
24:33by4. This gives us a total weighted
24:36score for gamification of 4.4. We'll do
24:39the same for corporate training and
24:41personalized learning paths. Once all
24:44the scores are calculated, we can see
24:46which idea ranks highest based on the
24:49total score. In this example,
24:51gamification receives the highest rank,
24:54followed by AI powered personalized
24:56learning paths and corporate training in
24:59last place. Step five, using the results
25:02to prioritize.
25:04Now that we've ranked the product ideas
25:06based on our scoring matrix, we can make
25:08more informed decisions about which to
25:10pursue. In this case, the high market
25:13potential and strong alignment of
25:15gamification makes it the top priority.
25:18In conclusion, using a scoring matrix or
25:21similar tools helps you bring clarity to
25:24the process of evaluating and
25:26prioritizing product ideas. It provides
25:29a balanced approach, allowing you to
25:31weigh the pros and cons of each idea
25:33based on data rather than relying on
25:36intuition alone.
25:38[Music]
25:48Ever wonder how to choose which ideas to
25:50pursue and which ones to put on hold?
25:53Today, we're exploring the art of
25:55prioritization in product management. As
25:57product managers, we're constantly
25:59flooded with new ideas, feature
26:01requests, and potential improvements.
26:04But we can't do everything at once.
26:06That's where prioritization comes in.
26:09Let's say we're developing a new project
26:11management tool. We might have a long
26:13list of potential features from task
26:15management and collaboration tools to
26:17advanced reporting and integrations. But
26:20we can't build everything at once and we
26:22might not want to build every feature
26:23that is suggested. Prioritization helps
26:26us focus our limited time, resources,
26:28and budget on the most impactful
26:30initiatives. It ensures that we're
26:33building the right things at the right
26:34time, delivering value to our customers,
26:37and achieving our business goals. The
26:39first step in prioritization is to
26:41gather all your ideas, and look at all
26:44of the possibilities for potential
26:45projects. This can involve brainstorming
26:48sessions, customer feedback, market
26:50research, and competitor analysis. The
26:53next step is deciding what to focus on.
26:56We need to evaluate each idea and
26:58determine its potential impact, effort
27:00required, and alignment with our overall
27:03product strategy. We use various
27:04frameworks and techniques to help us
27:06prioritize. One popular approach is the
27:09rice scoring model, which considers
27:12reach, impact, confidence, and effort.
27:15We also consider factors like market
27:17demand, strategic alignment, and
27:19technical feasibility. It's crucial to
27:21involve key stakeholders like
27:23engineering, design, marketing, and
27:25sales in the prioritization process.
27:28This ensures that we're making informed
27:30decisions that benefit the entire
27:31organization by prioritizing features
27:34based on their potential impact on user
27:36productivity and business goals. We can
27:38create a road map that delivers the most
27:40value in the shortest amount of time. We
27:43might start with the core task
27:44management functionality, then add
27:47collaboration features in a later
27:48release and eventually explore more
27:50advanced reporting capabilities.
27:53Prioritization is not a one-time event.
27:56It's an ongoing process that requires
27:58constant evaluation and adjustment as
28:00your product and the market evolve.
28:03[Music]
28:07Imagine
28:14developing enterprise software without a
28:16clear purpose or direction. It's easy to
28:19get lost in countless decisions, wasting
28:21valuable resources. That's why a product
28:24vision is essential. It acts as your
28:26guiding star, keeping your team focused
28:28and helping them make informed choices.
28:31In this video, you will explore the
28:32concept of a product vision and its key
28:35role in crafting successful software.
28:37You will learn how to formulate a vision
28:39that inspires your team, resonates with
28:41clients, and directs product
28:43development. A product vision is not
28:46just a highlevel aspiration. It's a
28:48concise statement that captures the
28:50essence of your product, its purpose,
28:52and its anticipated impact. Think of it
28:55as the driving force behind every
28:58development decision.
29:01In software development, a well-defined
29:03product vision serves several important
29:05functions. First, it aligns your team by
29:08establishing a common objective. When
29:11everyone understands the overarching
29:13goal, they can collaborate effectively
29:15toward a shared purpose.
29:18Second, an inspiring product vision
29:20motivates your team. It provides a clear
29:22target to strive for, sparking
29:24creativity and drive.
29:27Third, a product vision communicates the
29:30value of your software to stakeholders,
29:32investors, and customers. It helps
29:34generate enthusiasm and gain support for
29:37your project.
29:39Finally, a product vision offers a
29:41framework for evaluating and
29:43prioritizing features. When faced with
29:45choices, you can refer to your vision to
29:48stay aligned with your broader
29:49objectives.
29:51Let's look at how to define a product
29:53vision that is both inspiring and
29:55actionable.
29:57Start by understanding why you are
29:59creating the software. Identify the
30:01problem it solves, the intended users,
30:04and the impact you want to achieve. A
30:06clear purpose helps you craft a
30:08meaningful and compelling vision.
30:10Consider Microsoft Teams. The vision was
30:12not just to enable virtual
30:14collaboration, but to empower teams
30:16worldwide to connect seamlessly. This
30:19clarity has resonated with many
30:20businesses and contributed to its
30:22success.
30:24A strong product vision focuses on user
30:26experience. It defines the experience
30:28you aim to create, the emotions you want
30:30to evoke, and the value you plan to
30:32deliver. When developing Microsoft
30:34Azure, the vision centered on providing
30:37a versatile and secure cloud platform.
30:40This user focused approach helped Azure
30:42become a leader in cloud services. Keep
30:45your vision simple and memorable. Avoid
30:47complex language and aim for a concise
30:50statement that captures your product's
30:51essence in just a few words. Consider
30:54Microsoft Excel. The vision was to
30:56create an intuitive tool that allows
30:58users to manage data effortlessly.
31:01This clarity has helped Excel remain a
31:03staple in productivity software.
31:06Your product vision should encourage
31:08your team to pursue ambitious goals.
31:11Don't be afraid to aim high while
31:14providing clear direction. Your vision
31:16should also be adaptable. As the market
31:18evolves, your vision should guide you
31:20without being too rigid. A well-crafted
31:23product vision serves as the northstar
31:26of your software development. It
31:28provides purpose, inspires your team,
31:31communicates your product's core value,
31:33and supports informed decision-making.
31:36Remember, a great vision is not just
31:38about what your software is. It's about
31:40what it can become. Dream big, stay
31:43focused, and let your vision guide you
31:45in creating remarkable software
31:46experiences, a compelling product vision
31:49goes beyond functionality. It represents
31:52a commitment to innovation and user
31:54empowerment. It fosters a culture of
31:57continuous improvement, helping the
31:59software remain relevant and impactful
32:01in a dynamic market. By consistently
32:03referring to this guiding principle,
32:05teams can navigate challenges, set
32:08priorities effectively, and deliver
32:10software that not only meets current
32:11needs, but anticipates future demands.
32:15This shared focus on the vision
32:17strengthens teamwork, ensuring every
32:19member contributes to the overarching
32:21goal, resulting in a product that truly
32:24resonates with its users.
32:35In this video, we'll explore how to
32:37transform abstract visions into concrete
32:39achievements using smart objectives,
32:43particularly within the dynamic
32:44landscape of enterprise software and B2B
32:47environments. We often discuss the
32:49importance of goals, yet only some
32:51result in significant accomplishments.
32:54The distinction lies in the method of
32:55goal setting in the business sector.
32:58Particularly within enterprise software
33:00and B2B settings, a compelling product
33:02vision alone does not guarantee success.
33:05A defined pathway to achieve this vision
33:07is necessary. This is where smart
33:10objectives become essential. Why are
33:12smart objectives pertinent to enterprise
33:14software platforms such as Microsoft
33:16Dynamics 365?
33:18Consider the task of deploying a
33:19substantial update. Without smart
33:21objectives, a project may lack focus,
33:24resulting in wasted time and resources.
33:27By organizing goals within the smart
33:29framework, projects are positioned for
33:31success. Team alignment is facilitated
33:34and desired results are obtained
33:35effectively.
33:39Let us explore what smart entails.
33:42Specific requires a clear definition of
33:44the goal. For instance, instead of
33:46stating improve software features, one
33:48might say add three new functionalities
33:50to the dashboard. Measurable involves
33:53tracking progress and defining success,
33:56such as reduce customer service response
33:58times by 20%. Achieving goals requires
34:02them to be realistic, considering the
34:04resources at hand and what the team can
34:06realistically accomplish. Relevant
34:08confirms that objectives align with the
34:10core product vision and business
34:12strategy.
34:13Timebound mandates a deadline, for
34:15example, complete a rollout by the end
34:18of Q2. Developing smart objectives
34:20transforms a vision into a structured
34:22plan. It provides teams with clear
34:25targets and aligns their efforts with
34:26business objectives. For instance, if
34:29the goal is to integrate Microsoft Teams
34:31with an enterprise application to
34:33improve remote work collaboration, a
34:36smart objective might be by the end of
34:38Q1, integrate Microsoft Teams to
34:41increase team collaboration time by 15%.
34:44This objective is specific, measurable,
34:47achievable, relevant, and time bound.
34:49And it clearly articulates the desired
34:52outcome. Adopting smart objectives is
34:54not simply about completing a checklist.
34:57It is about empowering teams, fostering
35:00effective collaboration, and ultimately
35:03attaining business goals. By employing
35:05smart objectives, a vision can be
35:07translated from concept to reality,
35:11yielding a substantial impact on both
35:12the team and the organization.
35:14Implementing smart objectives requires a
35:16disciplined approach. Begin by clearly
35:19articulating the overarching business
35:21goal. Then break it down into smaller
35:24manageable objectives, ensuring each
35:26component adheres to the smart criteria.
35:29Regularly review and adjust these
35:31objectives as needed. Adapting to
35:34evolving circumstances and feedback.
35:36Effective communication is vital. Share
35:39smart objectives with all team members,
35:41ensuring everyone understands their role
35:43and responsibilities.
35:45This fosters a sense of ownership and
35:46accountability, boosting team morale and
35:49productivity. Utilize project management
35:51tools to track progress, monitor key
35:53performance indicators, and facilitate
35:55transparent communication.
35:57Regularly scheduled meetings allow for
35:59updates, address challenges, and
36:02celebrate milestones. Maintaining
36:03momentum and focus.
36:06Moreover, consider the long-term impact
36:08of your objectives. Aligning short-term
36:10goals with long-term strategic vision
36:12ensures sustainable growth and
36:14innovation.
36:15This alignment permits a company to stay
36:17competitive and responsive in a changing
36:20market. The flexibility to modify
36:22objectives in light of new information
36:24is essential for resilience. Remember,
36:27smart objectives are a tool for growth,
36:30not a rigid constraint. They enable a
36:33company to transform vision into
36:34reality, driving meaningful progress and
36:37measurable success. Remember that the
36:39journey of achieving smart objectives is
36:41iterative. Each completed objective
36:44provides valuable insights, informing
36:46future strategies and refinements.
36:49Celebrate successes, learn from
36:52setbacks, and continuously improve the
36:54process. In doing so, you cultivate a
36:57culture of focused achievement, driving
37:00innovation and sustained growth within
37:02your enterprise software and B2B
37:03endeavors. By embracing smart
37:06objectives, you equip your team with a
37:08clear road map, fostering alignment and
37:10accountability.
37:12This strategic approach transforms
37:14abstract visions into tangible results,
37:17enhancing productivity and driving
37:19business success. The application of
37:21smart objectives extends beyond mere
37:23task management. It represents a
37:26commitment to strategic clarity and
37:28operational excellence. This commitment
37:30enables organizations to navigate
37:32complex projects with precision,
37:34ensuring resources are utilized
37:36efficiently and outcomes are aligned
37:38with overarching business objectives.
37:42Ultimately, smart objectives are more
37:44than a tool. They are a philosophy that
37:47empowers teams to achieve their fullest
37:49potential. Integrating this approach
37:51allows for a company to transform
37:53aspirations into realities, producing a
37:57lasting impact on the organization and
37:59its stakeholders.
38:00[Music]
38:08Imagine you're a product manager at a
38:10growing tech company. Your team has just
38:12launched a new software feature. Now you
38:15need to track its performance to ensure
38:17it's meeting business goals. You want to
38:20know if users are finding value in the
38:22new feature, if your marketing efforts
38:24are paying off, and how to improve
38:27customer loyalty. This demonstration
38:30shows how to use Microsoft PowerBI to
38:33track and visualize key performance
38:35indicators or KPIs.
38:38KPIs provide a way to monitor product
38:40strategy and business goals. We will be
38:43demonstrating how to track average
38:45revenue per user, customer acquisition
38:48cost, customer lifetime value, and net
38:51promoter score using PowerBI service.
38:54Let's start with average revenue per
38:56user or ARPO. Arpoo measures the average
39:00revenue generated per user over a
39:02specific period. To use the revenue data
39:06xlsx data in PowerBI, first you must
39:10upload the file. Select my workspace,
39:13then new, then upload a file, and then
39:17select the revenue data.xls file. Once
39:21your data is uploaded, you should see
39:23the revenue data data set in your
39:25workspace. Select the data set to create
39:28a new report. Now create a new measure.
39:32In the data pane, click on the revenue
39:34data table and select new measure. In
39:37the measure formula, enter the following
39:39DAX formula. RPOU equals divide the sum
39:43of revenue data revenue by the count
39:46rows of distinct revenue data user ID.
39:49This formula divides the total revenue
39:51by the distinct count of users. Now
39:54visualize the ARPO data. Select a line
39:56chart. Drag the month column to the
39:59X-axis and the ARPO measure to the
40:02Yaxis.
40:03Next, let's look at customer acquisition
40:05cost or CAC. CAC is the total cost of
40:09acquiring a new customer. To calculate
40:12CAC, we'll import the marketing
40:14data.xlsx
40:16file. Select my workspace, then new,
40:21then upload a file, and select the
40:23marketing data.xls
40:26file. Once the marketing data.xlsx XLSX
40:29file is uploaded. Create a new measure
40:32for CAC. Click on the marketing data
40:34table and select new measure. In the
40:37measure formula, enter the following DAX
40:40formula. CAC equals divide the sum of
40:43marketing data expenses by the sum of
40:45marketing data new customers. This
40:48formula divides the total marketing
40:50expenses by the total number of new
40:52customers. Visualize CAC using a bar
40:56chart to compare CAC across different
40:58marketing campaigns. Drag the campaign
41:01column to the Xaxis and the CAC measure
41:05to the Yaxis.
41:07Now let's examine customer lifetime
41:09value or CLTV.
41:13CLTV predicts the total revenue a
41:16business can expect from a single
41:17customer throughout their relationship.
41:20CLTV calculations can be complex. You
41:24need data on average purchase value,
41:26purchase frequency, and customer
41:28lifespan. We can still use the revenue
41:31data, but we'll need to make some
41:33assumptions about customer lifespan.
41:36Create a measure for CLTV using the
41:39appropriate formula. For example, CLTV
41:43equals the sum of revenue data* 12,
41:46assuming a one-year customer lifespan.
41:49PowerBI can handle complex calculations.
41:53Visualize CLTV using a table to show the
41:57CLTV for different customer segments
42:00such as by month of first purchase.
42:03Finally, let's discuss net promoter
42:05score or NPS.
42:08NPS measures customer loyalty and
42:11satisfaction. NPS is based on a survey
42:14question like how likely are you to
42:16recommend our product to a friend or
42:18colleague? Customers respond on a scale
42:20of 0 to 10. Group responses into
42:23promoters, passives, and detractors.
42:27Calculate NPS by subtracting the
42:29percentage of detractors from the
42:31percentage of promoters.
42:33Create a measure for NPS.
42:36Visualize NPS using a gauge chart to
42:39show the overall score.
42:42PowerBI allows you to create interactive
42:45dashboards. Add slicers to filter data
42:48and drill down to see details. For
42:50example, add a slicer for month to
42:53filter the RPO line chart. Use PowerBI's
42:57formatting options to make your
42:58dashboard visually appealing and easy to
43:01understand. Remember, KPIs are essential
43:04for tracking product strategy and
43:06business goals. Use PowerBI to visualize
43:10and analyze your data effectively.
43:13PowerBI's interactive features help you
43:16gain insights and make datadriven
43:18decisions.
43:19[Music]
43:30In this video, we explore the challenges
43:32faced when launching a cuttingedge
43:34enterprise software solution. Imagine a
43:37product rich in features and
43:39user-friendly fails to gain traction or
43:42generate substantial sales. What factors
43:45contribute to this outcome? Often the
43:47product strategy lacks alignment with
43:49the broader business objectives. This
43:52misalignment can stem from poor
43:54communication between teams or the
43:56product team working in isolation,
43:58detached from overarching business
44:00goals.
44:01It is vital to connect the product
44:03strategy to these objectives so that the
44:05product meets user demands and
44:07contributes to business success. Every
44:10enterprise, whether developing software
44:12or any other product, must ensure
44:14decisions align with a company's overall
44:17goals.
44:18Consider a marketing team operating
44:20independently. Without a cohesive
44:23strategy, reaching the target audience
44:25becomes haphazard. In product
44:27management, the strategy serves as a
44:29shared roadmap for the entire team.
44:32However, if this roadmap does not
44:34correspond with the company's general
44:35objectives, efforts may be duplicated,
44:39opportunities missed, and projected
44:41success compromised. By aligning product
44:44strategy with business goals, the
44:46organization moves in a unified
44:47direction. This alignment cultivates
44:50focus and efficiency, increasing the
44:52probability of product success. The
44:54initial step involves obtaining a clear
44:56understanding of the company's broader
44:58goals. Is the aim to expand market
45:00share, enhance brand reputation, or
45:03innovate within the industry? Once these
45:06goals are defined, develop a strategy
45:08that directly contributes to them. For
45:10example, if expanding market share is a
45:13priority, the strategy might incorporate
45:15strategic partnerships or scalable
45:17solutions. A deep understanding of the
45:19target market and its needs is
45:21essential. This understanding is
45:23fundamental to both the product strategy
45:25and overall business success.
45:28Conduct thorough market research to
45:29identify client expectations and
45:31investment preferences. This information
45:34will guide the design of a product that
45:35addresses business challenges and drives
45:37profitability.
45:39Consider the success of Microsoft's
45:41Azure platform which addressed the needs
45:43of businesses seeking scalable cloud
45:45solutions. the strategy to offer a
45:48robust suite of services match their
45:50business goals of market share growth
45:52and the delivery of meaningful
45:53enterprise solutions.
45:56Once business objectives and target
45:58audiences are clear, translate them into
46:01specific measurable goals for the
46:03product. These goals should directly
46:05link to business objectives and provide
46:07a tangible way to track progress.
46:10For example, if increasing user
46:12engagement is a goal, aim to increase
46:14usage metrics by a specific percentage.
46:18If expanding the user base is the goal,
46:20establish ambitious yet achievable
46:22acquisition targets. Prioritization is
46:26essential in enterprise software
46:27development. Resources are limited.
46:30Therefore, focus on features that are
46:32truly important. Avoid feature creep
46:35which can divert attention from the core
46:37value proposition.
46:39Regularly review the product vision and
46:41business goals when considering new
46:43features.
46:44Before implementing any new element,
46:46ask, "Does this support the overall
46:49vision? Does it contribute to business
46:51goals?" Allow client feedback to guide
46:54improvements.
46:55Focus on enhancements that solve real
46:58problems or provide genuine value.
47:01Ensure the team remains realistic about
47:03what can be achieved within the given
47:04time frame and budget. To avoid
47:06overpromising, use data to inform
47:09decisions. Analyze how clients interact
47:12with the software and prioritize future
47:14enhancements accordingly.
47:16Sometimes declining a feature maintains
47:19focus and enhances the user experience.
47:22Alignment is not a singular task. It is
47:25an ongoing process. Foster open
47:28communication among teams including
47:30product development, marketing, and
47:32sales. Regularly assess progress. gather
47:35inputs and modify the strategy to
47:38maintain alignment with the same
47:40targets. This iterative approach enables
47:43adjustments based on market dynamics and
47:45evolving business needs. Remember, a
47:49product strategy aligned with business
47:51objectives is not just a document but a
47:54living breathing guide. It reflects the
47:57company's commitment to delivering value
47:59and achieving strategic goals. By
48:02maintaining this alignment, enterprises
48:04can transform their products potential
48:06into tangible sustainable success.
48:09[Music]
48:19Ever wondered how a product goes from a
48:21simple idea to a successful launch? In
48:24the world of product management, we use
48:26a powerful tool called a product roadmap
48:28to guide that journey. This is a
48:31detailed plan that helps us navigate the
48:33complexities of product management and
48:35bring our vision to life. Just as a
48:38blueprint guides the construction of a
48:39building, a product roadmap outlines the
48:42key milestones, features, and releases
48:44that will shape your product's
48:46development. The road map ensures
48:48everyone involved from developers to
48:50marketers is on the same page and
48:53working towards a shared vision.
48:55Creating a road map is a strategic
48:57process. It's about prioritizing what
49:00matters most, balancing user needs with
49:02business goals and considering the
49:04technical feasibility of each feature.
49:07In this module, you'll learn how to
49:09brainstorm and gather ideas. Then you'll
49:12learn how to distinguish between the
49:14must to have those essential features
49:15that deliver core value and the nice to
49:18have those additional features that
49:19enhance the experience. Not all features
49:22are created equal. You'll learn
49:24different prioritization frameworks and
49:27techniques such as the rice scoring
49:29model to help you make datadriven
49:31decisions and focus on the most
49:33impactful initiatives. Next, you'll
49:36explore the world of estimation,
49:38learning how to gauge the time, effort,
49:40and resources required for each feature
49:42or release. This will help you create
49:44realistic timelines and allocate
49:46resources effectively.
49:49Finally, you'll explore different ways
49:51to present your road map from simple
49:53timelines to interactive Gant charts,
49:55ensuring clear communication and easy
49:57understanding for everyone involved. By
50:00the end of this module, you'll have the
50:02skills to build a robust and adaptable
50:04road map that guides your product
50:06management journey. You'll learn to
50:08prioritize effectively, estimate
50:11resources accurately, anticipate
50:13challenges, and communicate your product
50:15roadmap clearly. Then with your road map
50:18in hand, you'll be ready to navigate the
50:20exciting world of product management and
50:23bring your vision to life. So let's get
50:25started.
50:27[Music]
50:37A road map is a powerful communication
50:40tool. A well-crafted road map can tell a
50:42compelling story about your product's
50:44evolution, engaging stakeholders, and
50:47building excitement for the future.
50:50Without a product roadmap, several
50:52problems can arise, hindering your
50:54products development and success. Your
50:57team might struggle to prioritize tasks
50:59and make informed decisions. This can
51:02lead to wasted effort on less impactful
51:04features and a lack of focus on the
51:07overall product vision. Communication
51:09gaps lead to misunderstandings,
51:11duplicated efforts, and inefficiencies.
51:14Market conditions and customer needs can
51:17change rapidly. Without a road map to
51:19visualize the product's trajectory, it
51:22becomes challenging to assess the impact
51:24of these changes and adjust your
51:26timeline accordingly. Without a clear
51:29understanding of priorities and
51:30timelines, it's difficult to react
51:32quickly to new opportunities or threats.
51:35Also, stakeholders may have different
51:37assumptions about the product's
51:39direction without a road map. This
51:41misalignment can cause frustration,
51:43delays, and potentially project failure.
51:47A great product road map tells a story,
51:50a story about where your product is
51:52headed, the problems it solves, and the
51:54value it creates for users. It creates a
51:57shared vision and enables you to be more
52:00agile and pivot when necessary.
52:02Compelling product roadmap doesn't just
52:04inform stakeholders. It goes beyond just
52:07the what and when. It showcases the why
52:11behind your product, allowing people to
52:13visualize the journey and understand the
52:15value proposition. It inspires them to
52:18get excited about the future. For
52:21example, imagine you're developing a new
52:23language learning app. Your road map
52:26could tell a story of breaking down
52:28language barriers and connecting people
52:30across cultures.
52:32It could showcase how the app will
52:34evolve, adding new languages,
52:36interactive exercises, and community
52:38features that foster global connections.
52:42By crafting a narrative around your road
52:44map, you can engage stakeholders on an
52:46emotional level, building support and
52:49enthusiasm for your product. Remember, a
52:52product roadmap is a powerful
52:54communication tool with which you can
52:56inspire your team, gain stakeholder
52:58buyin, and create a stellar product.
53:02[Music]
53:09Welcome to this video on building your
53:11first product road map. Today, I'll walk
53:14you through how to create a road map
53:16using a popular road map tool. We'll
53:18cover how to add milestones, releases,
53:21and features, as well as how to visually
53:24represent dependencies, and timelines.
53:26By the end of this video, you'll have a
53:28solid understanding of how to create a
53:31clear and actionable product road map. A
53:34road map is a critical tool for product
53:36managers because it aligns the team
53:38around a shared vision and outlines the
53:40steps needed to reach your product
53:42goals. Let's get started by opening a
53:45road map tool such as product plan or
53:48AHA which are commonly used in product
53:50management. We're starting with a blank
53:52road map in AHA. As you can see, road
53:56maps are usually structured with a
53:58timeline at the top and rows that
54:00represent different categories such as
54:03features, releases, and milestones.
54:06Releases represent major product updates
54:09or new versions of the product. They
54:12often include multiple features or
54:14improvements. To add a release, drag
54:17release from the right-h hand menu. For
54:20this demonstration, we'll create a
54:22release called version 1.0 and a release
54:25called beta. This release will occur
54:28after the beta phase. So, we'll position
54:30it in quarter 1 of next year on the road
54:33map. You can move the release along the
54:35timeline by dragging and dropping it to
54:37the appropriate time period. Releases
54:40help keep track of major product updates
54:43and give teams a target date to work
54:45toward.
54:47Milestones are significant events or
54:49goals that help track the progress of
54:52your product development. To add a
54:54milestone, drag release milestone from
54:57the right-h hand menu. For this example,
55:00let's say our first milestone is beta
55:03release. This is a key event where we'll
55:06release a beta version of our product to
55:08a select group of users for testing and
55:11feedback.
55:12It's important to position the milestone
55:15at the correct point on the timeline.
55:17Let's say we plan to release the beta
55:19version at the end of the quarter. We'll
55:22place the milestone accordingly. You can
55:25adjust the date by dragging the
55:26milestone along the timeline to match
55:29your schedule. Now that we've added
55:31milestones and releases, it's time to
55:34focus on features. To add a feature,
55:37drag a feature onto a release and name
55:40it according to the functionality being
55:42developed. For example, let's say one
55:45feature for version 1.0 is the
55:47implementation of user authentication.
55:51We'll add this feature under the version
55:531.0 release on the road map.
55:57You can continue adding features for the
55:59release by repeating this process. For
56:02instance, another feature for version
56:041.0 might be user profile creation. It's
56:09helpful to organize features within each
56:11release to give the team clarity on
56:13what's being developed in each phase.
56:16Now that we've mapped out milestones,
56:18releases, and features, let's focus on
56:21dependencies.
56:23Dependencies show which tasks or
56:25features rely on the completion of
56:27others before they can begin. To create
56:29a dependency, select the feature or
56:32release that is dependent on another
56:34task. For example, the user profile
56:38creation feature depends on the
56:39completion of user authentication.
56:42We'll link these two features by opening
56:45user profile creation, selecting the
56:47related tab, clicking add, and finally
56:50selecting user authentication.
56:53Dependencies are visually represented in
56:55the dependency map as lines connecting
56:58tasks or features. This allows the team
57:01to see at a glance what needs to be
57:03completed first and helps prevent
57:06bottlenecks during the development
57:08process. As you begin to fill out your
57:10road map, it's important to remain
57:12flexible with timelines. For instance,
57:15if the beta release is pushed back by 2
57:18weeks, we'll need to adjust the timeline
57:20to reflect that. Simply click and drag
57:23the milestone to the new date. Once your
57:26road map is complete, it's important to
57:28share it with your team and
57:30stakeholders. This ensures that everyone
57:33is aligned and has a clear understanding
57:35of the project's progress and upcoming
57:38milestones.
57:40First, we'll save our view by clicking
57:42save view. This will unlock the
57:45different sharing options in AHA. Click
57:47on the export icon to select an option.
57:50We're going to share this as a basic PNG
57:53image. Once the image is generated, we
57:56can open it up and save it for
57:58distribution.
57:59Creating a product road map is a crucial
58:02part of the product development process.
58:04By adding milestones, releases,
58:07features, and dependencies. And by
58:10continuously adjusting the timelines,
58:12you create a clear visual plan that
58:15aligns the entire team.
58:18Imagine
58:22[Music]
58:24you're a product manager for a
58:26cloud-based service. Your team is
58:28launching several new features over the
58:30next year, and you need a clear visual
58:33road map to share with stakeholders. You
58:35need to track dependencies, releases,
58:38and infrastructure updates. And you want
58:40to use Microsoft Project to do it. In
58:43this video, we'll demonstrate how to use
58:45Microsoft Project to create and manage
58:47product road maps specifically tailored
58:49for cloud services. We'll focus on
58:51features that help you track
58:53dependencies, releases, and
58:54infrastructure updates. This will enable
58:57you to create clear, concise road maps
58:59for your stakeholders.
59:01Let's begin by navigating into Microsoft
59:04Project. Once inside, you'll find a
59:07clean and organized interface designed
59:09to streamline your road map creation.
59:11We'll start by creating a new project
59:14and then walk through defining the
59:16project's start date which establishes
59:18the timeline for your road map. To
59:22begin, select a blank project. This
59:24gives you a clean slate to build your
59:26road map. A blank project allows for
59:29maximum customization to your specific
59:31cloud service needs. First, define the
59:34project start date. This establishes the
59:38timeline for your road map. Ensure the
59:40start date reflects the beginning of
59:42your overall project life cycle. Now add
59:46tasks. These tasks represent key
59:49milestones or deliverables in your cloud
59:51service road map. Think of tasks as the
59:54building blocks of your project.
59:57For example, a task could be
59:59infrastructure setup, database
1:00:01migration, or release of feature A.
1:00:04Enter these tasks into the task list
1:00:07being as specific as possible.
1:00:09Next, set the duration for each task.
1:00:12This tells project how long each task
1:00:15will take. Use your team's estimates or
1:00:18historical data to determine realistic
1:00:20durations.
1:00:22Define dependencies between tasks. This
1:00:25shows which tasks must be completed
1:00:28before others can begin. Dependencies
1:00:31are crucial for maintaining project
1:00:33flow. For instance, infrastructure setup
1:00:36must be completed before database
1:00:38migration and database migration must be
1:00:42completed before release of feature A
1:00:45can begin. Create a chain of
1:00:47dependencies. Use the Gant chart view to
1:00:50visualize the road map. This provides a
1:00:52clear overview of the project timeline
1:00:55and dependencies. The Gant chart is a
1:00:58powerful tool for visual communication.
1:01:01Before assigning resources, let's create
1:01:03our resource list. In Microsoft Project,
1:01:06a resource represents anyone or anything
1:01:10that contributes to completing a task.
1:01:12This could be a team member, a piece of
1:01:14equipment, or even materials. We'll add
1:01:18the names of these resources and
1:01:20optionally set their cost and
1:01:22availability. Now, let's assign those
1:01:24resources to tasks. This helps you track
1:01:28who is responsible for each deliverable
1:01:30and manage workloads. Assigning
1:01:33resources ensures accountability for
1:01:36cloud services. Track infrastructure
1:01:38updates as tasks. This ensures these
1:01:42critical updates are part of the road
1:01:44map and are properly scheduled. Include
1:01:46tasks like server patching or network
1:01:49upgrades. Use the baseline feature to
1:01:53track progress against the original
1:01:55plan. This helps you identify any
1:01:58deviations from the road map and take
1:02:00corrective action. Setting a baseline is
1:02:03essential for project control. Regularly
1:02:06update the task progress. Start by
1:02:09adding a column in the Gant chart for
1:02:11percent complete. Then you can update
1:02:14the task progress. This ensures the road
1:02:17map reflects the current state of the
1:02:19project. Use the percent complete column
1:02:22to track progress. Use the reporting
1:02:25features to generate visual reports.
1:02:28These reports can be shared with
1:02:29stakeholders to provide project updates.
1:02:32Microsoft Project offers various report
1:02:35templates. For example, generate a
1:02:38report showing the project's progress
1:02:40and any potential delays. This helps
1:02:43stakeholders understand the project's
1:02:45status and any risks. Now, let's create
1:02:48releases within our road map. Releases
1:02:51are significant milestones, particularly
1:02:54important for cloud service deployments.
1:02:57We can use milestones in Microsoft
1:02:59Project to represent these releases and
1:03:01then filter and report based on them.
1:03:04Now that the releases are created, you
1:03:06can filter tasks by them. This helps you
1:03:09focus on specific releases within the
1:03:12road map. Filtering allows you to manage
1:03:14complex projects with multiple releases.
1:03:18Use the share feature to collaborate
1:03:20with team members. This ensures everyone
1:03:22is aligned on the road map. Sharing
1:03:25allows for real time collaboration.
1:03:28Remember to regularly review and update
1:03:30the road map. This ensures it remains
1:03:33relevant and accurate. Regular reviews
1:03:36are essential for adapting to changes.
1:03:39Microsoft Project offers many features
1:03:41to help you manage cloud service road
1:03:43maps. Explore these features to optimize
1:03:46your planning. Experiment with different
1:03:48views and reporting options. This
1:03:51concludes the demonstration of using
1:03:53Microsoft Project for road maps. By
1:03:56using these features, you can create and
1:03:59manage effective road maps for your
1:04:01cloud services.
1:04:03[Music]
1:04:13In the world of product management,
1:04:14prioritization is a delicate balancing
1:04:16act. Just like a talented juggler keeps
1:04:19multiple objects in the air, product
1:04:21managers must skillfully juggle the
1:04:23needs of the business, users, and
1:04:25technology to achieve success. As a
1:04:27product manager, you'll constantly face
1:04:29the challenge of balancing competing
1:04:31demands, which can be challenging.
1:04:33You'll be pulled in different directions
1:04:34by stakeholders, each with their own
1:04:36priorities. The business wants to
1:04:39maximize revenue and market share. Users
1:04:42crave innovative features and seamless
1:04:44experiences. And your development team
1:04:46needs to work within technical
1:04:47constraints and timelines. It's easy to
1:04:50get overwhelmed, but fear not. We have a
1:04:52few tricks up our sleeves to help us
1:04:54master this juggling act. One popular
1:04:57framework is rice scoring where we
1:04:58evaluate each feature or initiative
1:05:01based on its reach, impact, confidence,
1:05:03and effort and give it a numerical
1:05:05score. This helps us quantify the value
1:05:08of each item and prioritize accordingly.
1:05:10Another useful approach is the Moscow
1:05:12method where we categorize items as must
1:05:15have, should have, could have, and won't
1:05:17have. This helps us clearly define
1:05:19priorities and manage stakeholder
1:05:21expectations.
1:05:23Prioritization is an ongoing process.
1:05:26Just like a juggler needs to constantly
1:05:28adjust their movements to keep
1:05:29everything in balance, you'll need to
1:05:31re-evaluate your priorities as your
1:05:33product and the market evolve. Imagine
1:05:35you're working on a new social media
1:05:37app. The business wants to monetize
1:05:39quickly through advertising. Users are
1:05:41clamoring for new features like video
1:05:43sharing and live streaming. And your
1:05:45development team is already stretched
1:05:47thin. Using prioritization frameworks,
1:05:49you might decide to focus on building a
1:05:51solid foundation with core features
1:05:52first, ensuring a smooth user
1:05:54experience. Then you can gradually
1:05:57introduce monetization strategies and
1:05:59additional features. Balancing business
1:06:01needs with user demands and technical
1:06:02capabilities. Prioritization is
1:06:05essential for successful product
1:06:06management. Prioritization frameworks
1:06:08let you navigate complex decisions,
1:06:10align teams, and deliver products that
1:06:12resonate with users.
1:06:14[Music]
1:06:24In this video, we will discuss the
1:06:26methods to gauge the effort and
1:06:28resources necessary for product
1:06:29development, a practice vital to project
1:06:32success. Effective estimation allows the
1:06:36setting of achievable goals, management
1:06:38of project timelines, and efficient use
1:06:41of available resources. These abilities
1:06:44form a cornerstone of product strategy
1:06:46and road mapping.
1:06:48We will examine various estimation
1:06:50techniques including story points,
1:06:52t-shirt sizing, and expert judgment and
1:06:55show how they aid in project management.
1:06:58We also highlight the importance of
1:07:00engaging the development team to obtain
1:07:02accurate estimations.
1:07:05Estimation goes beyond simple guessing.
1:07:08It predicts the exertion a task
1:07:09requires. While absolute precision is
1:07:12improbable, sound estimation methods
1:07:15improve planning and project execution.
1:07:18They help manage timelines and integrate
1:07:20the entire team into the decision
1:07:22process.
1:07:24Story points, often employed in agile
1:07:26development, measure the relative effort
1:07:28of tasks, not time. This system
1:07:31functions well for projects with complex
1:07:33variations like updating enterprise
1:07:36software with new features. For
1:07:38instance, comparing the effort needed
1:07:40for a small bug fix versus adding a new
1:07:43dashboard feature in Microsoft Dynamics
1:07:46illustrates how story points quantify
1:07:48tasks by effort, maintaining flexibility
1:07:51as projects evolve. Another beneficial
1:07:54technique, t-shirt sizing, categorizes
1:07:57tasks as small, medium, or large,
1:08:00providing a quick overview of project
1:08:02scope. For example, a task to add a
1:08:06shortcut might be classified as small,
1:08:09while integrating a new security feature
1:08:11would be large. Expert judgment utilizes
1:08:14experience to address complex or novel
1:08:16challenges, such as implementing AI
1:08:19tools in Microsoft 365.
1:08:22Experienced team members offer insights
1:08:24that improve decisionmaking and resource
1:08:27management, guiding through
1:08:29uncertainties. These techniques serve as
1:08:31starting points. Acknowledging that
1:08:34projects encounter changes, the
1:08:36development team plays a pivotal role in
1:08:39navigating these changes, ensuring plans
1:08:41align with project needs. When the team
1:08:44participates, everyone contributes to
1:08:47estimates based on realistic
1:08:48assessments. This fosters ownership and
1:08:51accountability, creating transparency
1:08:54and a cohesive process. A clear overview
1:08:57minimizes surprises and enhances
1:09:00efficiency. Open communication with the
1:09:02team is essential. Backlog refinement
1:09:05meetings provide opportunities for
1:09:07discussion, questions, and plan
1:09:10adjustments. Each team member should
1:09:12feel their input is valued. Achieving
1:09:15consensus and confidence in estimates is
1:09:18important.
1:09:19This shared understanding of the
1:09:21project's scope and timelines
1:09:23strengthens team unity and paves the way
1:09:25for success. Estimation is a key skill
1:09:28in product management. By mastering
1:09:31these techniques and involving the team,
1:09:34realistic expectations can be set and
1:09:36successful projects can be delivered.
1:09:39Estimation emphasizes informed and
1:09:42adaptable project management. Further,
1:09:45consider using estimation as a
1:09:47continuous iterative process rather than
1:09:50a one-time event. Revisit and refine
1:09:53estimates as new information becomes
1:09:55available or as project scope evolves.
1:09:58This adaptability allows for better
1:10:00responsiveness to unforeseen challenges
1:10:03and ensures project plans remain
1:10:05relevant. It is also beneficial to
1:10:07document the assumptions made during the
1:10:09estimation process. This creates a
1:10:12record that can be reviewed and adjusted
1:10:14improving the accuracy of future
1:10:16estimations.
1:10:18Finally, remember that estimation is a
1:10:21collaborative effort. It is not solely
1:10:24the responsibility of the project
1:10:25manager or a select few. Encourage open
1:10:29communication and feedback throughout
1:10:30the project life cycle. This
1:10:33collaborative approach ensures that all
1:10:35team members are invested in the project
1:10:37success. By fostering a culture of
1:10:40transparency and shared responsibility,
1:10:43projects benefit from more accurate
1:10:45estimations and smoother execution. To
1:10:48enhance this process, utilize historical
1:10:50data from similar projects. if
1:10:52available. This data provides valuable
1:10:55insights into potential pitfalls and
1:10:57realistic timelines.
1:11:00Employing a combination of these
1:11:02techniques and fostering a collaborative
1:11:04environment leads to more predictable
1:11:06project outcomes. Regularly review and
1:11:10adapt the chosen estimation methods to
1:11:12fit the specific needs and dynamics of
1:11:14each unique project, ensuring consistent
1:11:18improvement.
1:11:19[Music]
1:11:27Welcome to this video on estimating
1:11:29tasks and tracking progress using ASA.
1:11:32Today I'll show you how to use Asauna to
1:11:34create and track estimates, break down
1:11:36tasks, allocate resources, and monitor
1:11:39progress. By the end of this video,
1:11:42you'll have a strong understanding of
1:11:43how to use Asana's features to estimate
1:11:46time and effort and to keep your
1:11:48projects on track.
1:11:50Let's get started by opening ASA. As you
1:11:54can see, we're starting with a project
1:11:55that has already been created. This
1:11:58project is focused on building a new
1:12:00microlearning app.
1:12:02Step one, breaking down tasks. Before we
1:12:06can create accurate estimates, we need
1:12:08to break down the project into smaller
1:12:10manageable tasks. Let's take a
1:12:13high-level task like develop core
1:12:15features and break it down into more
1:12:17specific actions. Click plus add task to
1:12:21create new tasks. For example, we might
1:12:24break develop core features into tasks
1:12:27like build user authentication, create
1:12:29profile management system, and implement
1:12:32learning module. By breaking larger
1:12:35tasks into smaller ones, you can better
1:12:38estimate the time and resources required
1:12:40for each step.
1:12:43Once all the tasks are added, you can
1:12:45further organize them using sections to
1:12:47group related tasks together. I'll add
1:12:50an inrogress section so we can tell what
1:12:53has been started and what hasn't. Step
1:12:56two, assigning tasks and setting
1:12:59estimates. In ASA, you can assign tasks
1:13:02by clicking the assigne field and
1:13:04selecting a team member from the
1:13:05dropdown. Let's assign build user
1:13:08authentication to a developer on our
1:13:11team. Then we'll set an estimate for how
1:13:14long the task will take. ASA doesn't
1:13:16have built-in time estimation fields,
1:13:19but we can use the custom fields feature
1:13:21to create a time estimate field. Let's
1:13:24estimate that build user authentication
1:13:27will take 5 hours. You can add this
1:13:29estimate directly to the custom field.
1:13:32Do the same for the other tasks. For
1:13:35example, create profile management
1:13:37system might take 3 hours and implement
1:13:41learning module could take 4 hours. Step
1:13:44three, allocating resources. After
1:13:47estimating the time for each task, the
1:13:49next step is to make sure that we're
1:13:51using our resources effectively. In ASA,
1:13:54we can see who is working on what and
1:13:56how much work each team member has. To
1:13:59do this, we'll change the grouping from
1:14:01sections to assigne. This will update
1:14:04our view to show who is working on each
1:14:07task. If you notice that one person has
1:14:10too many tasks assigned, you can
1:14:12reassign tasks to balance the workload.
1:14:16For example, if one developer is
1:14:18assigned more work than they can handle,
1:14:20we might shift the implement learning
1:14:22module task to another team member who
1:14:25has more availability. This flexibility
1:14:28ensures that tasks are completed on time
1:14:30without overwhelming anyone. Step four,
1:14:34tracking progress. Once tasks are
1:14:37assigned and estimates are in place,
1:14:39it's important to track progress. One of
1:14:41the most useful views for tracking
1:14:43progress is the timer. First, click into
1:14:46the actual time field for a task. Then,
1:14:49you can click start timer. Later, you
1:14:52can change tasks or stop the timer. You
1:14:55can also enter time updates directly. As
1:14:58you add time to the task, asana keeps
1:15:01track of the total. Another useful
1:15:04feature in Asana for tracking progress
1:15:06is the task dependencies feature. Some
1:15:10tasks cannot begin until others are
1:15:12completed. For example, implement
1:15:15learning module depends on build user
1:15:17authentication being finished first. In
1:15:20a sauna, you can create dependencies
1:15:22between tasks so that it's clear which
1:15:25tasks need to be done before others can
1:15:27start. From the list view, open a task
1:15:30and click on dependencies. Then select
1:15:32the other task. By default, tasks are
1:15:36blocked finish to start. This means that
1:15:39the first tasks must be completed before
1:15:41the second one can begin. Dependencies
1:15:44are represented visually in the timeline
1:15:47view, helping the team stay aware of the
1:15:49order in which tasks need to be
1:15:51completed. Step five, monitoring
1:15:55deadlines and adjusting estimates. As
1:15:58the project progresses, you might find
1:16:00that some tasks take longer than
1:16:02expected, while others are completed
1:16:04ahead of schedule. In ASA, it's easy to
1:16:07update estimates and adjust deadlines as
1:16:10needed. If you find that build user
1:16:12authentication is taking longer than the
1:16:15estimated 5 hours, you can update the
1:16:17estimate by moving the due dates on the
1:16:20timeline. This shows your current best
1:16:23guess for completing a task. Some teams
1:16:26will also edit their original estimates
1:16:28as new information becomes available.
1:16:31This flexibility ensures that the
1:16:33project plan remains realistic and
1:16:35upto-date. By using Asauna to estimate
1:16:38tasks, allocate resources, and track
1:16:41progress, you can effectively manage
1:16:43your projects and keep everything on
1:16:45track. The ability to break down tasks,
1:16:48assign resources, and visualize
1:16:50dependencies ensures that your team can
1:16:53work efficiently and meet deadlines.
1:16:56[Music]
1:17:06Welcome to a very crucial phase of
1:17:08product development, defining product
1:17:10requirements. In this video, you'll get
1:17:13a glimpse into what you'll learn in this
1:17:14exciting module. In product development,
1:17:17clear and comprehensive requirements are
1:17:19our guiding light. They ensure that
1:17:21everyone involved in the project from
1:17:23designers and engineers to marketers and
1:17:25salespeople understands what we're
1:17:27building and why. In this module, you'll
1:17:29first learn how to identify and document
1:17:31product requirements. You'll start by
1:17:33deeply understanding the needs of our
1:17:35users and the goals of the business.
1:17:38Then, you'll explore how to translate
1:17:40those needs into clear, concise
1:17:41requirements that everyone on the team
1:17:43can understand and follow. Next, you'll
1:17:46learn about user stories and use cases
1:17:48that describe how your users will
1:17:49interact with the product. This helps
1:17:51ensure you're building features that
1:17:53truly address their needs and pain
1:17:54points. Then, you'll explore strategies
1:17:57for working closely with engineers and
1:17:59designers to ensure everyone understands
1:18:01the requirements and can turn them into
1:18:03a functional and user-friendly product.
1:18:05Finally, you'll learn how to establish
1:18:07and follow quality assurance processes
1:18:09to identify and address any potential
1:18:11issues, ensuring the product meets our
1:18:13high standards. To set the scene,
1:18:15imagine developing a new e-commerce
1:18:17platform. We'd start by interviewing
1:18:20potential customers to understand their
1:18:21online shopping habits and preferences.
1:18:24Do they value a wide selection of
1:18:26products, fast and reliable shipping,
1:18:28easy returns? We then translate those
1:18:31needs into clear requirements such as
1:18:33users should be able to filter products
1:18:35by category, price, and brand. Or the
1:18:38checkout process should be streamlined
1:18:39and secure. We create user stories to
1:18:42capture the user's perspective. Like as
1:18:45a busy shopper, I want to be able to
1:18:47quickly find and purchase the products I
1:18:48need so that I can optimize my time.
1:18:51Throughout development, we conduct
1:18:53thorough testing to ensure the platform
1:18:54is userfriendly, performs well, and is
1:18:57free of errors. By the end of this
1:18:59module, you'll possess the skills to
1:19:01translate user needs into actionable
1:19:03requirements for a platform like this,
1:19:05paving the way for successful product
1:19:06development and delivery.
1:19:09[Music]
1:19:18To build effective software, it's vital
1:19:20to grasp both functional and
1:19:22non-functional requirements.
1:19:24Through this video, you'll be able to
1:19:26explain the key differences between
1:19:28functional and non-functional
1:19:29requirements, including design and how
1:19:32it weighs into product requirements,
1:19:34providing examples and highlighting
1:19:36their importance in product development.
1:19:38Enterprise software requirements are the
1:19:40foundation for a strong solution. They
1:19:42define what a software must achieve, its
1:19:45performance, and the user experience.
1:19:48Functional requirements focus on
1:19:49specific features and capabilities
1:19:51needed to fulfill business objectives.
1:19:54They answer the question, what should
1:19:56users be able to do? These are concrete
1:19:59and measurable actions or tasks.
1:20:01Functional requirements are central to
1:20:03enterprise software. Defining essential
1:20:06functionalities for business users.
1:20:08Without these core features, the
1:20:10software lacks purpose. For a CRM
1:20:12system, functional requirements include
1:20:15managing leads through the sales
1:20:17process, tracking sales opportunities
1:20:19with key details, as well as generating
1:20:22customizable reports and dashboards for
1:20:24sales insights. These functional
1:20:26requirements are fundamental to a CRM
1:20:28like Microsoft Dynamics 365 sales,
1:20:32highlighting the importance of
1:20:33functional requirements in making it a
1:20:35valuable tool. They directly address the
1:20:37needs of sales teams by providing the
1:20:39tools for task management and progress
1:20:42tracking. Clearly defining functional
1:20:44requirements with sufficient detail is
1:20:46crucial for enterprise software. This
1:20:48ensures shared understanding among
1:20:49teams. Prioritizing based on critical
1:20:52business needs is also essential for
1:20:54focused development as it ensures that
1:20:57the most important features are
1:20:58delivered first maximizing the value of
1:21:01the software. Non-functional
1:21:03requirements on the other hand focus on
1:21:05overall quality and characteristics of
1:21:06the software. They answer the question
1:21:09how well should it perform. They address
1:21:12performance, security, usability and
1:21:15reliability and are vital for business
1:21:17adoption. These requirements ensure that
1:21:20the software is not only functional but
1:21:22also reliable, secure and easy to use.
1:21:25For our CRM example, non-functional
1:21:28requirements for Microsoft Dynamics 365
1:21:31include performance. You expect key
1:21:35pages to load quickly so your sales team
1:21:37can stay productive and not bog down
1:21:39waiting. Then there's security.
1:21:42Obviously, protecting sensitive customer
1:21:44data with strong security measures is
1:21:46absolutely critical for any business.
1:21:49Usability is another big one. The CRM
1:21:52interface must be intuitive and easy for
1:21:54all your sales professionals to use, no
1:21:56matter their technical background. And
1:21:58finally, reliability. You need the
1:22:01system to have high availability so it's
1:22:03there when your team needs it for their
1:22:05business operations without unexpected
1:22:07downtime. These nonfunctional
1:22:09requirements ensure a positive and
1:22:11productive experience for CRM users.
1:22:14They are important for building trust in
1:22:16the system and ensuring that it supports
1:22:18the sales team's workflow effectively.
1:22:21Design is the crucial link between
1:22:22functional and non-functional
1:22:24requirements in enterprise software. It
1:22:26shapes the software's look, feel, and
1:22:29user interaction. Effective design
1:22:31enables users to complete tasks, that's
1:22:33the functional part, easily and
1:22:35efficiently. That speaks to
1:22:37nonfunctional usability leading to
1:22:40greater satisfaction and adoption.
1:22:42Design enhances usability and
1:22:44perception, making enterprise software
1:22:46valuable. Consider these impacts.
1:22:49Microsoft Excel's clear interface aids
1:22:51data manipulation and ease of use.
1:22:54Consistent design across Microsoft 365
1:22:57improves user experience and
1:22:58learnability. Responsive design and BI
1:23:01dashboards ensures accessibility on
1:23:03various devices. Design transforms your
1:23:06enterprise software vision into a
1:23:08practical tool. It translates the
1:23:10technical specifications into a
1:23:12user-friendly experience. Bridging the
1:23:15gap between what the software does and
1:23:17how users interact with it. Clearly
1:23:19defining and documenting both
1:23:20requirement types is important. Aligning
1:23:23teams and minimizing rework.
1:23:28Enterprise requirements evolve with
1:23:30business needs and user feedback.
1:23:33Adaptability and user focus are
1:23:35critical. In conclusion, understanding
1:23:38functional requirements, what it does,
1:23:40and non-functional requirements, how
1:23:42well it performs, is fundamental to
1:23:45successful enterprise software
1:23:46development. Design is the vital link
1:23:49shaping user experience and business
1:23:51value.
1:23:53[Music]
1:24:03In product management, understanding
1:24:06user needs is crucial. Today, we're
1:24:08exploring the power of user stories, a
1:24:11simple yet effective tool for capturing
1:24:13those needs and building products that
1:24:15truly resonate with customers. I'm
1:24:17Athena and I help parents find the
1:24:20perfect toys for their little ones. Just
1:24:22like every child is unique, so are their
1:24:25needs and preferences. User stories help
1:24:27us understand those needs and create
1:24:30products that spark joy and learning.
1:24:32Each parent has a specific goal in mind
1:24:34for their child's development. User
1:24:37stories capture these needs in a concise
1:24:39and actionable format. They typically
1:24:42follow this structure. As a type of
1:24:44user, I want to perform some action so
1:24:48that the user achieves some goal or
1:24:50benefit. For example, some parents may
1:24:53say, "As a parent of a toddler, I want
1:24:55to find toys that encourage open-ended
1:24:58play so my child can develop their
1:25:00creativity and imagination." In response
1:25:02to this parents user story, a product
1:25:05manager might ideate with her team, a
1:25:08building toy or dress up clothes and
1:25:10accessories for imaginary play. How
1:25:12about this user story? As a parent, I
1:25:15want to buy toys that challenge my child
1:25:17to think critically and solve problems
1:25:20so that they can develop essential
1:25:22skills for the future. Working with this
1:25:24parents user story, a product manager
1:25:26might work with his team to design and
1:25:28develop cause and effect toys with
1:25:30buttons, levers, or other interactive
1:25:33elements to help toddlers understand the
1:25:35relationship between actions and
1:25:37consequences. User stories help you
1:25:40empathize with your users so we
1:25:42understand their goals and motivations.
1:25:45They also guide us to properly
1:25:46prioritize features since we focus on
1:25:49building products that truly address
1:25:51user needs while helping you avoid
1:25:53wasted time and resources. User stories
1:25:56even help us communicate effectively
1:25:58since everyone on the team understands
1:26:00the user's perspective.
1:26:02And finally, user stories ensure that we
1:26:04build the right products, creating
1:26:06solutions that delight our customers and
1:26:08make a positive impact. Instead,
1:26:11consider the user's perspective with
1:26:13user stories. They'll give you and your
1:26:15team a structured and user centric
1:26:17approach to design and development.
1:26:21The result, engaging and meaningful
1:26:23products for your users that add value
1:26:25for them and success for your business.
1:26:28[Music]
1:26:35Welcome to this video on using Jira to
1:26:37manage product development. Today I'll
1:26:40guide you through how a product manager
1:26:42can use Jira to share requirements,
1:26:44gather feedback, and track changes
1:26:46throughout the development process. By
1:26:49the end of this video, you'll have a
1:26:51clear understanding of how to use Jira
1:26:53to record product requirements.
1:26:56Let's start by opening Jira. As you can
1:26:59see, we're looking at a product
1:27:00development project for a microlearning
1:27:02app.
1:27:04Step one, sharing requirements.
1:27:07The first step in any development
1:27:09process is sharing the product
1:27:11requirements with the team. To add a new
1:27:14user story, click on create in the top
1:27:17menu. Let's say we need to add a new
1:27:20feature for user profile management. The
1:27:24user story might be as a user I want to
1:27:27create and manage my profile so that I
1:27:29can personalize my learning experience.
1:27:32After writing the user story, we'll fill
1:27:35in the acceptance criteria, the
1:27:37conditions that need to be met for this
1:27:39feature to be considered complete.
1:27:42Once the user story is written, we can
1:27:44assign it to the relevant epic. In this
1:27:47case, our epic is user management
1:27:49features. We'll create that epic now.
1:27:53Step two, to add a new Epic, click on
1:27:56create in the top menu, then change the
1:27:59issue type to Epic. We'll name this Epic
1:28:02user management fee features and leave
1:28:04the rest of the issue blank. Now, we'll
1:28:06open our user story back up and find the
1:28:09section labeled parent. Click where it
1:28:11says none and select the epic we just
1:28:14created. Now, we can see in the backlog
1:28:17that this story belongs to an epic.
1:28:20Step three, gathering feedback. In Jira,
1:28:24you can tag stakeholders, developers,
1:28:26and designers to request input or
1:28:29clarification.
1:28:31For example, if we need feedback on the
1:28:33user profile management feature, we can
1:28:36tag the lead developer and ask whether
1:28:38the feature is feasible with our current
1:28:40architecture. You can do this by using
1:28:43the comment section in Jira and tagging
1:28:45team members with an at@ symbol. Jira
1:28:49also allows you to create tasks or
1:28:51subtasks within a user story to address
1:28:54any feedback received. If the team
1:28:58identifies additional work or changes
1:29:00needed, you can create subtasks to
1:29:03ensure those updates are captured and
1:29:05tracked. To add a subtask, click on the
1:29:08add child issue button at the top of the
1:29:10issue and give your subtask a name. From
1:29:14there, you can open the subtask and edit
1:29:16it just like the user story. Step four,
1:29:20tracking progress and changes. Jira's
1:29:23conbon and scrum boards provide a visual
1:29:26representation of how tasks are
1:29:28progressing. Let's switch to the conbon
1:29:31board to see how we can track the
1:29:33development process.
1:29:35If a change is required during the
1:29:37development process, Jira makes it easy
1:29:40to update requirements.
1:29:42We can simply go into the user story,
1:29:45update the acceptance criteria, and
1:29:48notify the team of the changes by
1:29:50tagging them in the comment section.
1:29:52Step five, Jira's issue history feature
1:29:56allows you to track changes made to user
1:29:58stories, tasks, and bugs. Let's go into
1:30:02the issue history of our user profile
1:30:05management story to see any updates that
1:30:07have been made. Here we can see the
1:30:10changes to acceptance criteria, who made
1:30:13the changes and when. This history helps
1:30:16keep everyone aligned and ensures
1:30:18there's no confusion about why certain
1:30:21decisions were made. Additionally, Jira
1:30:24allows you to link issues that are
1:30:25related or dependent on each other. For
1:30:28instance, if user profile management
1:30:31depends on the completion of updating
1:30:33the UI, we can link those two stories to
1:30:36ensure that the team knows one must be
1:30:38completed before the other begins. By
1:30:41using Jira, product managers can easily
1:30:44share requirements, gather feedback from
1:30:46the team, and track progress and changes
1:30:49throughout the development process. It's
1:30:52an essential tool for staying organized
1:30:54and ensuring that the product is being
1:30:56built according to plan.
1:30:58[Music]
1:31:08Understanding agile can be your game
1:31:10changer in the fast-paced world of
1:31:12product management, especially in
1:31:14enterprise software and B2B contexts.
1:31:16This video explores how Agile helps you
1:31:18build quality products by providing a
1:31:20shorter feedback loop with stakeholders.
1:31:23By the end of this video, you'll be able
1:31:25to explain the core principles of agile
1:31:26development, describe the agile
1:31:28development cycle, and explain the
1:31:30benefits of an agile coach. Agile isn't
1:31:33just a method, it's a mindset. Imagine
1:31:36you're a product manager working with a
1:31:38development team using Microsoft Azure
1:31:40DevOps. With agile, the focus is on
1:31:43flexibility and quick responses to
1:31:45change. This process turns the messy
1:31:48reality of software development into an
1:31:50organized set of small sprints. Each
1:31:53sprint delivers a piece of the overall
1:31:55project, making it easier to adapt and
1:31:57perfect along the way. In an agile
1:32:00setup, work is divided into sprints,
1:32:02which are short time box periods for
1:32:05completing specific tasks. These could
1:32:08last one to four weeks. You'd start with
1:32:11sprint planning just like choosing
1:32:12features from a backlog in Microsoft
1:32:15Teams planner. This organized approach
1:32:17encourages collaboration and ensures
1:32:20everyone is working towards the same
1:32:22objectives. Daily meetings keep the team
1:32:26aligned and focus on overcoming
1:32:28roadblocks and are generally short time
1:32:29blocks. Once a sprint ends, you're at
1:32:32one of the most important parts, the
1:32:34sprint review. Sprint reviews are
1:32:36important to showcase your work and
1:32:38collect feedback iteratively. This is
1:32:40when your team shows their work to
1:32:42stakeholders. Think of business clients
1:32:44or project leads. Presenting in
1:32:46Microsoft PowerPoint, for instance,
1:32:48makes it easy for stakeholders to
1:32:50visualize and validate progress. Their
1:32:53feedback is invaluable for ensuring the
1:32:55product is on track. This continuous
1:32:58feedback loop of sprints and sprint view
1:33:00is the backbone of agile. It allows the
1:33:02team to pivot or persevere quickly,
1:33:05ensuring the product remains aligned
1:33:07with stakeholder expectations.
1:33:09Adjustments can be added to the next
1:33:11sprint, keeping the project adaptive and
1:33:13responsive to changes. Agile's short
1:33:15feedback loop is transformative. Unlike
1:33:18traditional methods where feedback is
1:33:19received post launch, Agile encourages
1:33:22regular feedback, similar to updates
1:33:24you'd regularly perform on Microsoft
1:33:26SharePoint. This frequent feedback helps
1:33:28teams spot issues early, saving time and
1:33:30avoiding costly rework. It acts as a
1:33:33built-in quality check, making sure your
1:33:35product aligns with business goals.
1:33:37Better products are built incrementally,
1:33:40enriching your understanding of
1:33:41stakeholder needs and allowing you to
1:33:43refine your solution iteratively.
1:33:45Agile's iterative approach means you can
1:33:47validate assumptions quickly and get
1:33:49real world feedback, propelling a cycle
1:33:51of improvement.
1:33:53In enterprise software where
1:33:55requirements often change, this
1:33:57adaptability is vital to success. The
1:34:00feedback helps you understand what works
1:34:02and what needs adjustment. Agile also
1:34:04revolutionizes stakeholder engagement
1:34:06through its inclusive approach.
1:34:08Stakeholders provide regular feedback,
1:34:11ensuring alignment with business goals,
1:34:13turning surprises into well-managed
1:34:15processes. If market conditions demand a
1:34:18shift, Agile's flexibility allows teams
1:34:20to pivot quickly.
1:34:23In an agile environment, the product
1:34:25manager plays a crucial role. They're
1:34:27responsible for setting the product
1:34:28vision, prioritizing features, and
1:34:31ensuring that the team is delivering
1:34:33value to the customer. They act as a
1:34:35bridge between the development team and
1:34:38the stakeholders, facilitating
1:34:40communication and collaboration. As a
1:34:42product manager, your role in an agile
1:34:44setup is crucial. You set the vision for
1:34:47the product, prioritize tasks, and
1:34:49ensure continuous value delivery. You
1:34:52are the bridge between the development
1:34:54team and stakeholders, facilitating
1:34:56effective communication and
1:34:58collaboration. Embracing agile is not
1:35:00just about following a methodology. It's
1:35:03about adopting a mindset that values
1:35:05adaptability and collaboration. In
1:35:07today's dynamic market, agile is more
1:35:09than a choice. It's a necessity for
1:35:12building quality products that delight
1:35:14customers and drive business success.
1:35:16[Music]
1:35:26Ever wondered how companies ensure their
1:35:29products are topnotch before they hit
1:35:31the shelves? It's not just luck, it's
1:35:34quality assurance, or QA for short.
1:35:37Today, we're going behind the scenes to
1:35:39explore the crucial role of QA in
1:35:42product development. I'm Mo and I lead
1:35:44the QA team at my company. Think of QA
1:35:47as the safety net that catches any
1:35:49issues before they reach the customer.
1:35:51We're the unsung heroes who make sure
1:35:53your favorite products work as intended,
1:35:56delighting users and building trust in
1:35:58the brand. QA is involved throughout the
1:36:01product development life cycle. From
1:36:03early prototypes to the final product,
1:36:06we rigorously test every aspect from
1:36:09core functionality to user experience to
1:36:12identify and address potential issues.
1:36:14The QA process typically starts with
1:36:17requirement analysis where the QA team
1:36:20understands product needs and
1:36:22expectations. Next, a test plan is
1:36:24created and then specific test cases are
1:36:27designed. After that, the actual testing
1:36:30is conducted and any issues are
1:36:32identified and logged. Then comes
1:36:35regression testing which ensures that
1:36:38any fixes haven't created new problems.
1:36:40Then there is a final check before
1:36:42launch. Even after launch, there are
1:36:44ongoing checks. There you have it, the
1:36:47quick summary of the QA process. QA
1:36:50isn't just about finding problems. It's
1:36:52also about preventing them. We work
1:36:55closely with developers and designers to
1:36:57ensure quality is built into the product
1:37:00from the start. This saves time,
1:37:02resources, and ultimately leads to a
1:37:05better product. Without QA, you might
1:37:08release a product that would lead to
1:37:09frustrated customers, negative reviews,
1:37:12and damage to your brand reputation.
1:37:14With a dedicated QA team, we can catch
1:37:17issues early on and ensure the phone
1:37:19works flawlessly, delivering a
1:37:21delightful experience to users.
1:37:23Remember, quality is everyone's
1:37:26responsibility. From the initial concept
1:37:28to the final launch, every team member
1:37:31plays a role in ensuring the product
1:37:33meets the highest standards.
1:37:35So there you have it. It's not luck that
1:37:38produces highquality products. It's all
1:37:40about how you incorporate the QA process
1:37:43into each step of your product
1:37:45development life cycle. Oh, excuse me. I
1:37:48have a call.
1:37:54[Music]
1:38:01Imagine you're a product manager. The
1:38:03product team is preparing a new software
1:38:05release. Ensuring the product meets
1:38:08strict security standards and regulatory
1:38:10requirements is critical. The team needs
1:38:13a clear way to track specific security
1:38:16checks, vulnerability scan results,
1:38:18penetration test findings, and
1:38:20compliance requirements. They decide to
1:38:23use Microsoft Excel to manage this
1:38:25detailed test plan. In the first row, we
1:38:28will add column headers to define the
1:38:30information we want to track. In cell
1:38:33A1, type test case ID. This provides a
1:38:38unique identifier for each test or
1:38:40finding. In cell B1, type
1:38:43requirement/regulation.
1:38:46This column links the test case to a
1:38:48specific security requirement or
1:38:50compliance regulation it addresses. In
1:38:53cell C1, type test type. Here we will
1:38:57specify whether it's a vulnerability
1:38:59scan finding penetration test item or a
1:39:02compliance audit check.
1:39:05In cell D1, type test description. In
1:39:09this column, you will provide a clear
1:39:11explanation of the security check or
1:39:13compliance item being tested. In cell
1:39:17E1, type steps to test reproduce. In
1:39:20cell F1, type expected results. In cell
1:39:24G1, type actual results.
1:39:28In cell H1, type status. This column
1:39:31indicates the current state of the test,
1:39:34not started, in progress, pass, fail, or
1:39:37blocked. In cell I1, type tester. This
1:39:41column is for recording who performed
1:39:43the test. In cell J1, type date. This
1:39:47column notes when the test was performed
1:39:50or updated. In cell K1, type notes.
1:39:54Finally, in cell L1, type compliance
1:39:57standard reference. If applicable,
1:40:00reference the specific section or
1:40:02article number from the relevant
1:40:04regulation. Now that we have our
1:40:06headers, let's add some example test
1:40:08cases. For each cell, enter the text
1:40:11that follows it. A2 C audit OHO1 B2 data
1:40:17encryption policy. C2 compliance audit.
1:40:21D2 verify sensitive data stored in the
1:40:24application database is encrypted at
1:40:26rest. E2 check database configuration
1:40:29for encryption settings. F2 database
1:40:32configured for AES 256 encryption. H2
1:40:36not started. L2 internal policy 4.1.
1:40:41Cells G2 and I2 through K2 will be left
1:40:45blank for now. A vulnerability scan
1:40:48finding will be created for row three.
1:40:50For this row, the data has already been
1:40:53entered. A penetration test will be
1:40:55created for row four. For this row, the
1:40:58data has already been entered. To make
1:41:01managing statuses easier, we can add a
1:41:03drop-own list to the status column,
1:41:06column H. Select column H, excluding the
1:41:09header row. Go to the data tab and click
1:41:12data validation. In the data validation
1:41:15dialogue box under allow, select list.
1:41:19In the source field, enter the allowed
1:41:21statuses separated by commas. Not
1:41:23started, in progress, pass, fail,
1:41:26blocked. Click okay. Now you can select
1:41:30the status for each test case from a
1:41:32drop- down list, ensuring consistent
1:41:34data entry. For C audit 001 in H2,
1:41:39select pass from the drop down. You can
1:41:42also use filtering to easily manage this
1:41:44list. Select row one. Go to the data tab
1:41:48and click filter. Now a drop- down arrow
1:41:51appears next to each header. Click the
1:41:53filter arrow on the status column. You
1:41:56can uncheck pass and in progress to view
1:41:58only the failed tests. Click the filter
1:42:01arrow again and select clear filter from
1:42:04status to show all rows. You can also
1:42:07add conditional formatting to visually
1:42:09highlight statuses. Select the status
1:42:12column. Go to the home tab. Click
1:42:14conditional formatting. Then highlight
1:42:17sales rules and more rules. Select
1:42:20specific text and containing in the
1:42:23dialogue box. Enter fail in the text
1:42:25field and select light red fill with
1:42:28dark red text from the drop-down. Click
1:42:31okay. Using these simple Excel features,
1:42:34a product team can create and maintain a
1:42:38clear, organized test plan for tracking
1:42:40critical security and compliance
1:42:42requirements. This helps ensure that the
1:42:45product is thoroughly vetted for
1:42:47potential weaknesses and meets necessary
1:42:50regulations before it is released.
1:42:53[Music]
1:43:03As you've probably noticed, the world of
1:43:05product management relies on strong
1:43:08collaboration.
1:43:09Today, we're focusing on how to build
1:43:11strong relationships and ensure seamless
1:43:14collaboration for optimal product
1:43:16outcomes. In my experience as a product
1:43:19manager, a strong partnership with the
1:43:22QA team is essential for delivering
1:43:24highquality products. We're like two
1:43:27sides of the same coin, working together
1:43:30to ensure our product shines. In fact,
1:43:34these are two of the most
1:43:35customerfocused teams. Building a strong
1:43:38relationship with QA starts with clear
1:43:41communication and mutual respect. We
1:43:44involve them early in the product
1:43:46development process, sharing our vision
1:43:49and goals. This helps them understand
1:43:52the product's purpose and anticipate
1:43:54potential challenges. We also include
1:43:57them when building requirements since
1:43:59they provide great insights on what
1:44:01problems may emerge in the future.
1:44:03During development, we maintain open
1:44:06lines of communication, providing the QA
1:44:09team with access to the latest builds
1:44:11and documentation.
1:44:13We encourage them to share feedback
1:44:15early and often so we can address issues
1:44:18proactively before launch. We conduct a
1:44:22thorough review with the QI team. This
1:44:25ensures the product meets our quality
1:44:27standards and is ready to delight our
1:44:29users. We value their expertise and
1:44:32trust their judgment. Even after launch,
1:44:35our collaboration continues. The QI team
1:44:39monitors user feedback and analytics,
1:44:42helping us identify and address any
1:44:45post-launch issues. We work together to
1:44:48continuously improve the product and
1:44:50ensure a positive user experience. In
1:44:54general, it's good to involve QA early
1:44:57and often. Their insights can help
1:45:00identify potential risks and other
1:45:02viewpoints. It's important to set clear
1:45:05expectations about quality standards and
1:45:08acceptance criteria to ensure that
1:45:10everyone is on the same page. Remember
1:45:13to provide context instead of just a
1:45:16list of requirements. In other words,
1:45:19help QA understand the user needs and
1:45:22business goals so they can test with
1:45:24purpose and provide more meaningful
1:45:26feedback. And finally, remember to
1:45:29celebrate success together. This fosters
1:45:32a sense of shared ownership and
1:45:34accomplishment. Remember, Hua is not
1:45:37there just to find bugs. They are your
1:45:40partners in delivering a highquality
1:45:42product.
1:45:43[Music]
1:45:52Automating QA processes can free QA time
1:45:55for innovation and strategy by
1:45:57automating repetitive testing. This can
1:45:59sometimes be better than manual testing,
1:46:02especially for tasks that are
1:46:03repetitive, timeconuming, and require
1:46:05high accuracy. By the end of this video,
1:46:08you'll be able to discuss the benefits
1:46:09of automating repetitive testing tasks,
1:46:12freeing up QA teams to focus on more
1:46:14complex and exploratory testing.
1:46:16Consider a team maintaining a complex
1:46:18app like Microsoft Dynamics. Frequent
1:46:21updates demand repetitive errorprone
1:46:23testing. Automating this frees you to
1:46:26focus on impactful tasks like complex
1:46:29bug identification and new feature
1:46:31testing. Automation employs specialized
1:46:34tools and scripts to automatically
1:46:36execute test cases. These tools simulate
1:46:40user actions, check system responses,
1:46:42and validate outcomes, ranging from UI
1:46:45to API testing tools. One of the major
1:46:48benefits of automation is increased
1:46:50efficiency. Manual testing is often slow
1:46:52and errorprone. With automation, tests
1:46:55run faster and more reliably. For
1:46:57example, test suites that take hours to
1:47:00run manually can often be completed in
1:47:01minutes with automation. It's like using
1:47:04Microsoft's Azure DevOps to streamline
1:47:06the testing process, speeding up
1:47:08feedback, and allowing teams to address
1:47:09issues early in the development cycle.
1:47:12Think of the time savings. Automating
1:47:14half of a 40-hour manual testing week
1:47:17frees up 20 hours for strategic tasks
1:47:19like exploratory testing in Microsoft
1:47:21Power Platform to predict user behavior
1:47:23and find hidden usability issues. While
1:47:26manual tests might only check key
1:47:27functions, automated tests can cover a
1:47:30wide range of scenarios across varied
1:47:32data inputs, user roles, and system
1:47:34configurations for robust verification.
1:47:38Ensured consistency is another
1:47:39significant benefit. Manual testing can
1:47:42be subjective. Automated tests, however,
1:47:45follow the same steps each time,
1:47:47guaranteeing stable results. This
1:47:49consistency helps spot regressions
1:47:51faster. times when new updates
1:47:53unexpectedly disrupt old functionalities
1:47:55in say Microsoft Office 365. Automation
1:47:59is crucial for maintaining enhanced
1:48:00quality. By automating routine tasks, QA
1:48:04teams can dedicate more energy to
1:48:05strategic testing like usability testing
1:48:08in Microsoft Teams. This deeper product
1:48:11insight leads to a superior user
1:48:13experience.
1:48:15Starting with QA automation requires you
1:48:17to identify suitable test cases. These
1:48:19are typically repetitive, need high
1:48:21accuracy, and consume time, such as
1:48:24regression tests for recurring Microsoft
1:48:26Excel operation. Next, select the right
1:48:29tools. Choose an automation tool that
1:48:31fits your project needs, team skills,
1:48:33budget, and project size. For example,
1:48:36Selenium for web apps or Visual Studio
1:48:39for larger projects.
1:48:41After tools are set up, create automated
1:48:43test scripts. This involves writing code
1:48:46that mimics user interactions and checks
1:48:47system responses.
1:48:49Ensure these scripts are structured,
1:48:51maintainable, and reusable for
1:48:53continuous outcomes. Ensure proper test
1:48:56data management to avoid data
1:48:57dependencies and maintain testability.
1:49:01Next step, integrate automated tests
1:49:03into the CI/CD pipeline. CI/CD stands
1:49:06for continuous integration and
1:49:08continuous delivery, a practice that
1:49:10automates the software release process.
1:49:12This integration ensures tests run
1:49:14automatically with each code update,
1:49:16providing immediate feedback,
1:49:18effectively catching issues early when
1:49:20working with a service like Microsoft
1:49:22Azure.
1:49:24Execute tests during maintenance and
1:49:25updates to prevent disruption and ensure
1:49:27stability, similar to Microsoft
1:49:30SharePoint updates. However, regular
1:49:33human oversight is crucial to keep
1:49:35automated tests relevant and effective
1:49:37as the application evolves.
1:49:40You might wonder if automation will
1:49:42replace QA testers. It won't. Automation
1:49:46tackles repetitive tasks, but requires
1:49:48human expertise for test design,
1:49:50development, and maintenance. Human
1:49:53skills are crucial for exploratory and
1:49:55usability testing, which aren't easily
1:49:57automated. In fact, automation opens new
1:50:00opportunities. By automating the
1:50:02routine, QA testers can focus on
1:50:04strategic tasks like test planning and
1:50:06analysis, elevating their skills and
1:50:08value to the team. Automating QA is a
1:50:11powerful strategy to enhance the
1:50:13efficiency and quality of the software
1:50:15development process by freeing up time
1:50:17from repetitive tasks. QA teams can
1:50:19focus on complex testing, ultimately
1:50:22delivering a superior product to end
1:50:24users.
1:50:25[Music]
1:50:35The fast-paced world of product
1:50:37development is one where quality isn't
1:50:40just a buzzword. It's the cornerstone of
1:50:42success. Remember, quality is everyone's
1:50:45responsibility. Let's see how a shared
1:50:48commitment to excellence can lead to
1:50:50exceptional products.
1:50:52>> I'm Joan and I believe that building a
1:50:54great product is a team effort. Creating
1:50:56a highquality product requires the
1:50:58commitment of everyone involved. When
1:51:01developing a product, quality isn't just
1:51:03the responsibility of the QA team. It's
1:51:05a mindset that should be embedded
1:51:07throughout the organization. If we were
1:51:09to only rely on the QA team, there would
1:51:12be bottlenecks and delays in the
1:51:13development process. There would likely
1:51:16be missed opportunities for improvement
1:51:18since other teams may not prioritize
1:51:20quality in their work. Also without the
1:51:22shared ownership and sense of pride in
1:51:24the product, there can be decreased team
1:51:26morale. From the initial concept to the
1:51:29final launch, every team member plays a
1:51:31crucial role in ensuring the product
1:51:33meets the highest standards. Let's see
1:51:35how this plays out in a real world
1:51:37scenario. Imagine we're developing a new
1:51:40productivity app. The product manager
1:51:42ensures that the app's features align
1:51:44with user needs and business goals,
1:51:46preventing scope creep and unnecessary
1:51:48complexity. The designer focuses on
1:51:51creating a clean and intuitive
1:51:52interface, making it easy for users to
1:51:55navigate and complete tasks efficiently.
1:51:57The engineers write code and perform
1:51:59unit testing to minimize the risk of
1:52:02crashes or security vulnerabilities.
1:52:04They even consider non-functional
1:52:06requirements like performance and
1:52:08scalability. The marketing team crafts a
1:52:10clear and compelling message that
1:52:12highlights the app's unique value
1:52:14proposition and benefits. The sales team
1:52:17actively listens to customer feedback,
1:52:19identifying areas for improvement, and
1:52:21communicating them back to the product
1:52:23team. By embedding quality principles
1:52:25throughout the organization, we create a
1:52:27culture of excellence. Everyone feels a
1:52:30sense of ownership and pride in the
1:52:32final product. Remember, quality is not
1:52:34an afterthought, it's a mindset. When
1:52:36everyone on the team takes
1:52:38responsibility for quality, the result
1:52:40is a product that not only meets but
1:52:42exceeds customer expectations.
1:52:45[Music]
1:52:54Creating an AI product is more than just
1:52:56model development. It's about managing a
1:52:59dynamic system, one that learns and
1:53:01adapts, demanding continuous attention.
1:53:04The journey from concept to a successful
1:53:07realworld AI application involves
1:53:09complex yet critical steps and ongoing
1:53:12considerations.
1:53:14This video offers a brief overview of
1:53:16the overall AI product management
1:53:18process. Upon completion, you'll be able
1:53:22to describe the endto-end life cycle of
1:53:24an AI product from initial data
1:53:26acquisition to model deployment and
1:53:29continuous improvement.
1:53:31Unlike traditional software, AI products
1:53:34constantly learn and adapt. Their
1:53:36development isn't a one-time effort, but
1:53:38an ongoing iterative process to keep
1:53:41them effective and relevant. For product
1:53:44managers, understanding this isn't just
1:53:46helpful. It's essential for managing
1:53:48each interconnected stage of the AI
1:53:51system. The foundation of any AI product
1:53:54begins with acquiring and preparing the
1:53:56data. Data acquisition involves
1:53:58gathering highquality relevant data from
1:54:01various sources including databases,
1:54:04APIs, and user generated content. Data
1:54:08quality is important as substandard data
1:54:11leads to suboptimal and potentially
1:54:13misleading results. After acquisition,
1:54:16data preparation is essential. This
1:54:19multifaceted process includes data
1:54:21cleaning to remove inconsistencies and
1:54:24errors, data transformation to ensure
1:54:26compatibility with the model's
1:54:28algorithms, and feature engineering to
1:54:31extract and create relevant features
1:54:33that enhance the model's predictive
1:54:35capabilities.
1:54:37Building upon this foundation, the next
1:54:39important stage is training the model.
1:54:42This stage demands careful and
1:54:44continuous monitoring to confirm the
1:54:46model learns accurately and efficiently.
1:54:49Choosing a suitable algorithm tailored
1:54:52to the specific problem and data is
1:54:54highly important. Additionally,
1:54:57hyperparameter tuning, which involves
1:54:59adjusting parameters set before
1:55:01training, optimizes the model's
1:55:03performance. Validating performance
1:55:06confirms the model works in real world
1:55:08scenarios by testing it on unseen data.
1:55:11Techniques such as cross validation,
1:55:13which partitions the data into multiple
1:55:16subsets for training and testing, and
1:55:18hold out validation, which reserves a
1:55:20portion of the data for final
1:55:21evaluation, are used.
1:55:25Product managers should possess a
1:55:26working knowledge of evaluation metrics,
1:55:29including precision, recall, and the F1
1:55:32score to accurately gauge the model's
1:55:35performance.
1:55:36After successful validation, deploying
1:55:38the model makes it accessible to users.
1:55:41Deployment often occurs through
1:55:43application programming interfaces,
1:55:45APIs.
1:55:47APIs serve as a bridge, allowing other
1:55:50software applications to interact with
1:55:52your AI model.
1:55:54This means other applications can send
1:55:56data to your model and receive
1:55:58predictions or results in return. This
1:56:01allows AI to be integrated into various
1:56:03systems.
1:56:06Deployment, however, is not the end of
1:56:08the process. AI products require ongoing
1:56:11updates to maintain their relevance and
1:56:13accuracy in an evolving environment.
1:56:16Performance monitoring, which tracks
1:56:18metrics like accuracy, latency, and
1:56:21resource utilization, and user feedback,
1:56:24which provides insights into real world
1:56:26usage, are used to identify areas for
1:56:29improvement. Model iteration may require
1:56:32retraining with new data or adjustments
1:56:34to the algorithm's parameters.
1:56:37A key part of post- deployment
1:56:39management is managing model drift. This
1:56:42phenomenon where the model's performance
1:56:44degrades over time due to changes in the
1:56:47data distribution requires constant
1:56:49monitoring. Regular model retraining and
1:56:52robust version control of both the model
1:56:55and the data are essential to mitigate
1:56:57this risk. This iterative cycle repeats
1:57:00throughout the product's lifespan,
1:57:02ensuring continuous improvement and
1:57:04adaptation.
1:57:06Ethical considerations and regulatory
1:57:08compliance are crucial at every stage.
1:57:11Potential biases in data and models must
1:57:14be addressed to maintain fairness and
1:57:16inclusiveness.
1:57:18Additionally, regulatory compliance
1:57:20which includes adhering to data privacy
1:57:23laws and industry specific regulations
1:57:26must be monitored and followed.
1:57:31The data used, the algorithm selected,
1:57:34the methods used to monitor performance,
1:57:36and the ethical considerations addressed
1:57:39are all interconnected and contribute to
1:57:41the overall success of the AI product.
1:57:44Effectively managing this continuous
1:57:47loop, this iterative life cycle builds
1:57:49effective and responsible AI products.
1:57:53[Music]
1:58:02AI is transforming industries by
1:58:04enhancing customer experiences,
1:58:07streamlining operations, and improving
1:58:09efficiency. However, building an AI
1:58:12product goes beyond technology. It
1:58:14requires strategic planning and informed
1:58:17decision-making at every stage for
1:58:19reliability and success.
1:58:21This video explores and analyzes the
1:58:24complexities of developing an AI powered
1:58:27customer support chatbot. By the end,
1:58:30you will be able to identify key
1:58:32challenges, decisions, and outcomes that
1:58:35contribute to a successful AI
1:58:37deployment.
1:58:38In customer service, managing high
1:58:40inquiry volumes while maintaining fast
1:58:43and efficient support is a continuous
1:58:45challenge. AI powered support chat bots
1:58:48help by automating responses to common
1:58:50questions, allowing human agents to
1:58:53focus on more complex issues. A large
1:58:56e-commerce company set out to develop an
1:58:58AI powered support chatbot to improve
1:59:01customer service. While automation was
1:59:03the goal, the development process
1:59:06presented its own challenges. Starting
1:59:08with data acquisition, the team chose to
1:59:11use past customer service transcripts to
1:59:13train the chatbot. However, they soon
1:59:16discovered the data was far from ideal.
1:59:19It contained numerous language
1:59:20variations, spelling errors, and
1:59:23incomplete conversations. To address
1:59:26this, the team made a crucial decision.
1:59:29They invested significant time in data
1:59:31cleaning and pre-processing.
1:59:34This involved standardizing language,
1:59:36correcting spelling errors, and removing
1:59:39irrelevant information from the
1:59:40transcripts. The quality of the training
1:59:43data directly impacted the chatbot's
1:59:45accuracy. This thorough data preparation
1:59:48resulted in a higher quality data set,
1:59:51improving the chatbot's ability to
1:59:53understand and respond to customer
1:59:55requests. The next challenge was model
1:59:58selection. The team evaluated various AI
2:00:01models for natural language
2:00:03understanding. They considered the
2:00:05trade-off between model complexity and
2:00:07computational efficiency. They chose a
2:00:10transformer-based model. These models
2:00:13excel at understanding context and
2:00:15capturing long range dependencies in
2:00:17sequential data which are crucial for a
2:00:19chatbot. However, transformer models
2:00:22require substantial computing resources
2:00:25for training. Meaning the cost of the
2:00:27hardware and the electricity required to
2:00:29run the hardware are important factors
2:00:32to consider. This decision allowed the
2:00:34chatbot to handle a wider range of
2:00:37customer queries with relatively high
2:00:39accuracy, but it also increased
2:00:41development costs and time. Establishing
2:00:45explanability and trust was another
2:00:47critical challenge. Users needed to
2:00:49trust the chatbot's responses. The team
2:00:52designed the chatbot to provide clear
2:00:54and concise answers. They included links
2:00:57to relevant help articles and FAQs. They
2:01:00also implemented an easy option for
2:01:02users to switch to a human agent at any
2:01:05point in the conversation. These
2:01:07features were designed to enhance user
2:01:09confidence and encourage adoption.
2:01:12The team understood that user trust is
2:01:14essential for the chatbot success. The
2:01:17team recognized the importance of
2:01:19continuous improvement. They implemented
2:01:21a system to monitor the chatbot's
2:01:23performance in real world use. This
2:01:25included tracking key metrics such as
2:01:28customer satisfaction ratings,
2:01:30resolution rates, the percentage of
2:01:32queries resolved without human
2:01:33intervention, and the frequency of
2:01:35escalation to human agents. They also
2:01:38actively collected user feedback on the
2:01:40chatbot's perceived helpfulness and ease
2:01:43of use. Based on this data, the
2:01:45development team made ongoing decisions
2:01:47to refine the chatbot's responses, add
2:01:50new features to address common issues,
2:01:52and retrain the underlying AI model to
2:01:55improve its accuracy. This iterative
2:01:58process allowed the chatbot to evolve,
2:02:01becoming more effective and userfriendly
2:02:03over time, which is a core aspect of
2:02:05successful AI product management. This
2:02:08case study highlights the critical role
2:02:10of strategic decisionmaking in AI
2:02:12product development. From data
2:02:14preparation and model selection to
2:02:16explanability and continuous
2:02:18improvement, each choice directly
2:02:21impacts an AI system success.
2:02:23Understanding these factors is essential
2:02:25for product managers, enabling them to
2:02:28build AIdriven solutions that are
2:02:30effective, reliable, and ethically
2:02:33responsible. By examining these
2:02:35challenges and decisions, you gain
2:02:37practical insights into the AI product
2:02:39life cycle. Insights that can be applied
2:02:42to real world AI initiatives.
2:02:44[Music]
2:02:54The reliability of AI systems depends on
2:02:56their fairness. Bias can distort
2:02:59outcomes and erode user confidence. This
2:03:02video explores the nature of bias in AI
2:03:05models. Upon completion, you'll be able
2:03:08to identify common sources of bias in AI
2:03:11systems, apply techniques to detect
2:03:13these biases, and implement strategies
2:03:16to mitigate them, ensuring fairness and
2:03:18inclusivity.
2:03:20Bias in AI can arise at various stages,
2:03:23starting with data collection. If the
2:03:26training data does not accurately
2:03:27reflect the diversity of the real world,
2:03:30the AI model may develop skewed
2:03:32patterns.
2:03:33For instance, a facial recognition
2:03:36system trained primarily on
2:03:38lighterkinned individuals may struggle
2:03:40to identify people with darker skin
2:03:42tones, leading to misidentification or
2:03:45exclusion. In recruitment AI, if
2:03:48historical hiring data favors male
2:03:50candidates, the model may reinforce
2:03:52gender biases, making it harder for
2:03:55equally qualified female candidates to
2:03:57be selected.
2:03:59Algorithmic bias happens when a model
2:04:01unintentionally favors certain features,
2:04:04putting some groups at a disadvantage.
2:04:06For example, a loan approval algorithm
2:04:09might rely too much on zip code or
2:04:11credit history. Unintentionally
2:04:14disadvantaging communities with limited
2:04:16financial access. Even the way AI
2:04:19systems are evaluated can introduce
2:04:21bias. If an AI model is judged only on
2:04:24overall accuracy, it may perform well
2:04:27for the majority population but fail for
2:04:30minority groups. For instance, a healthc
2:04:33care AI diagnosing diseases may work
2:04:36effectively for common demographic
2:04:38groups, but may be significantly less
2:04:41accurate for under reppresented
2:04:43populations due to a lack of diverse
2:04:45medical data in training. Human bias and
2:04:48labeling is also a concern. If
2:04:51annotators have unconscious biases,
2:04:53those biases can pass into the training
2:04:56data. For example, a sentiment analysis
2:04:59tool trained on biased data might
2:05:01wrongly label certain dialects as
2:05:04negative, leading to unfair content
2:05:06moderation. Detecting bias requires a
2:05:09thorough and systematic analysis of
2:05:11data, model behavior, and outcomes. One
2:05:15of the first steps is to assess the
2:05:17distribution of training data to
2:05:19determine whether certain groups are
2:05:21over represented or under represented.
2:05:24If the data set used to train AI lacks
2:05:27diversity, the model would struggle to
2:05:29perform fairly across all populations.
2:05:33Fairness metrics assess whether AI
2:05:35treats groups equitably. Equal
2:05:37opportunity checks whether all groups
2:05:39have the same chance of a positive
2:05:41outcome. Statistical par measures equal
2:05:44representation and predictive par
2:05:47compares accuracy across demographics.
2:05:50Explainable AI or XAI techniques provide
2:05:53further insights into how AI systems
2:05:56make decisions. Analysis on feature
2:05:59importance can reveal whether a model is
2:06:01overly reliant on certain variables such
2:06:04as gender or race when making
2:06:05predictions. Decision tree
2:06:08visualizations and model
2:06:09interpretability frameworks can help
2:06:12uncover hidden biases, allowing
2:06:14developers to refine models before
2:06:16deployment. Mitigating bias involves
2:06:19applying proactive strategies at every
2:06:21stage of AI development. One approach is
2:06:24data augmentation where synthetic data
2:06:27is generated to better represent under
2:06:30reppresented groups creating a more
2:06:32balanced training set. Another method is
2:06:35implementing fairness constraints during
2:06:37model training. These constraints
2:06:39promote fairness by preventing AI
2:06:42predictions from disproportionately
2:06:43favoring or disadvantaging any
2:06:46demographic group. Advanced techniques
2:06:49like adversarial debiasing help detect
2:06:51and correct bias in real time, leading
2:06:54to fairer decisions. Post-processing
2:06:57techniques like threshold adjustments
2:06:59and calibration refine the model's
2:07:02output after training to improve
2:07:03fairness. Regular audits and updates are
2:07:06crucial since AI fairness is an ongoing
2:07:09process. As data and societal norms
2:07:12evolve, continuous monitoring keeps AI
2:07:15aligned with ethical principles.
2:07:18Ensuring AI fairness demands continuous
2:07:21collaboration, particularly between data
2:07:24science, UXUI, legal, and development
2:07:28teams. Product managers and developers
2:07:31must integrate fairness into AI models
2:07:33from creation to use. They should
2:07:36promote ethical AI within their
2:07:38companies, collaborate with legal teams,
2:07:40and educate others on transparency and
2:07:43fairness. This focus helps AI systems
2:07:46remain effective, responsible, and
2:07:49beneficial to all users equally.
2:07:52[Music]
2:07:59In this video, we'll explore how to use
2:08:01AI tools like C-Pilot to identify and
2:08:04mitigate bias in AI generated content
2:08:06through effective prompt engineering.
2:08:09We'll take on the role of a product
2:08:10manager working with AI. As product
2:08:13managers, we want to leverage AI, but we
2:08:16also need to ensure our AI systems are
2:08:19fair and unbiased.
2:08:21This video will demonstrate how to craft
2:08:24prompts that help us achieve that goal.
2:08:27We'll go through a practical example
2:08:29showing how a seemingly simple prompt
2:08:31can introduce bias and how we can refine
2:08:34it to get more balanced results.
2:08:37Let's start with an example. Imagine
2:08:39we're using Copilot to research customer
2:08:42opinions about different project
2:08:44management software. We might begin with
2:08:46a straightforward prompt. Why is
2:08:49Microsoft Project so much better than
2:08:51Project Alpha? Now, let's analyze the
2:08:54output from Copilot. Notice how the AI
2:08:58focuses primarily on the advantages of
2:09:00Microsoft Project and the disadvantages
2:09:03of Project Alpha. It assumes the premise
2:09:05of the prompt and doesn't provide a
2:09:07balanced comparison. This is because the
2:09:10prompt itself is biased. It's a leading
2:09:13question. This is a classic example of
2:09:16how a leading question can influence an
2:09:19AI's response. The prompt doesn't ask
2:09:21for a neutral comparison. It steers the
2:09:24AI towards a predetermined conclusion.
2:09:27This can perpetuate existing biases or
2:09:30even create new ones. So, how do we fix
2:09:33this? We need to rephrase the prompt to
2:09:36be more neutral. Instead of asking why
2:09:38one product is better, we should ask for
2:09:40a balanced comparison. Let's change the
2:09:44prompt to compare and contrast Microsoft
2:09:47Project and Project Alpha, highlighting
2:09:50both their strengths and weaknesses.
2:09:52This prompt is more objective and does
2:09:55not imply a preference for either
2:09:56product. Now, let's look at the output
2:09:59from Copilot with the revised prompt.
2:10:02Notice how the AI provides a more
2:10:04balanced comparison. It discusses the
2:10:07strengths and weaknesses of both
2:10:09Microsoft Project and Project Alpha,
2:10:12allowing us to make a more informed
2:10:14decision.
2:10:15This demonstrates the power of prompt
2:10:17engineering in mitigating bias. By
2:10:20carefully crafting our prompts, we can
2:10:22guide AI to provide more objective and
2:10:25unbiased information. It's an iterative
2:10:28process. We often need to refine our
2:10:31prompts based on the AI's initial
2:10:32output. Here are some additional prompt
2:10:36engineering techniques to avoid bias.
2:10:39Specify the desired perspective. Provide
2:10:41context. Use counterfactual prompts.
2:10:45Request diverse examples. Avoid
2:10:47generalizations.
2:10:48Now, let's look more closely at each
2:10:50one. First, let's specify the desired
2:10:54perspective. If you want the AI to
2:10:56consider different viewpoints,
2:10:58explicitly state that in your prompt.
2:11:00For example, analyze the impact of the
2:11:03new resource leveling feature
2:11:05considering the perspectives of a
2:11:07project manager concerned about the
2:11:09increased complexity of task management
2:11:12and a team member focused on potential
2:11:14workload redistribution.
2:11:16Next, provide context in your prompt.
2:11:19Give the AI enough background
2:11:20information to understand the nuances of
2:11:23the topic. For example, considering a
2:11:26small software development team with a
2:11:28budget of $500 per month and a need for
2:11:31Gant charts and task dependencies, what
2:11:34are the best project management tools,
2:11:36Microsoft Project or Project Alpha? It
2:11:39also helps to use counterfactual
2:11:41prompts. Ask the AI to consider
2:11:44alternative scenarios or perspectives.
2:11:47For example, what are the potential
2:11:49drawbacks of using Microsoft Project for
2:11:51large enterprises? and what alternative
2:11:54solutions like Project Alpha might they
2:11:57consider. Another tactic is to request
2:12:00diverse examples. If you're asking the
2:12:02AI to generate examples, specify that
2:12:05you want a diverse set. For instance,
2:12:08show me examples of successful project
2:12:10management software used by both small
2:12:13startups and large enterprises,
2:12:15including examples of cloud-based and
2:12:18onremise solutions.
2:12:20Lastly, avoid generalizations.
2:12:23Prompts that use broad generalizations
2:12:26can lead to biased outputs. Be specific
2:12:29and ask for evidence-based information.
2:12:32For example, what are the documented
2:12:34differences in user satisfaction ratings
2:12:37between Microsoft Project and Project
2:12:39Alpha? And what is the evidence for
2:12:41these differences based on user reviews
2:12:44and industry report? As product
2:12:46managers, we have a responsibility to
2:12:48ensure that the AI systems we build are
2:12:51fair and unbiased.
2:12:53By mastering prompt engineering
2:12:55techniques, we can leverage the power of
2:12:57AI while mitigating the risk of
2:12:59perpetuating harmful biases. This is an
2:13:03ongoing process of learning,
2:13:05experimentation, and refinement.
2:13:08[Music]
2:13:17Launching an AI product without
2:13:19considering legal implications is risky.
2:13:22Imagine facing legal action for
2:13:23violating user privacy.
2:13:26Understanding the legal landscape is not
2:13:28optional. It's essential.
2:13:31This video provides practical strategies
2:13:34to ensure your AI products comply with
2:13:36relevant legal and regulatory
2:13:38requirements, including data protection,
2:13:41privacy, and intellectual property laws,
2:13:44which are essential for building user
2:13:46trust and avoiding costly legal issues.
2:13:49The rapid growth of artificial
2:13:51intelligence or AI brings evolving
2:13:54compliance challenges, especially in
2:13:56data protection. Regulations like the
2:13:59General Data Protection Regulation or
2:14:01GDPR and the California Consumer Privacy
2:14:05Act or CCPA set rules for collecting,
2:14:08processing, and storing user data. For
2:14:11example, GDPR's right to be forgotten
2:14:15mandates that companies delete all
2:14:17personal data of a user, including
2:14:19backups, when requested by the user,
2:14:22ensuring that no trace of their
2:14:24information remains. To comply,
2:14:27organizations must use encryption and
2:14:29access controls for secure data storage,
2:14:32conduct data privacy impact assessments
2:14:34or DPAs to identify risks before launch,
2:14:38and define clear data retention
2:14:40policies. Maintaining records such as
2:14:43consent forms and data flow diagrams is
2:14:46essential for audits and regulatory
2:14:48reviews. Privacy goes beyond data
2:14:50protection to include user expectations
2:14:53and rights. AI products handling
2:14:56sensitive data such as location or
2:14:58financial information should clearly
2:15:00explain its use and give users control
2:15:02over tracking settings. A privacy by
2:15:05design approach integrates privacy at
2:15:08every stage using techniques like
2:15:10differential privacy to anonymize data,
2:15:13limiting collection to what's necessary
2:15:15and providing easy to manage privacy
2:15:18settings. Clear policies, transparent
2:15:21data usage, and user-friendly consent
2:15:23mechanisms like layered consent forms
2:15:26help build trust.
2:15:28AI products often generate content,
2:15:31making intellectual property a key
2:15:33concern. Copyright, patent, and trade
2:15:36secret laws protect creative works and
2:15:39inventions.
2:15:40For example, prevent AI generated images
2:15:44from violating copyrights by using tools
2:15:46to detect similarities with existing
2:15:48works and clearly stating the source of
2:15:50training data. If your AI uses a unique
2:15:54image generation algorithm, patent
2:15:56protection may be required to prevent
2:15:58competitors from copying it. Protect
2:16:01confidential information like training
2:16:03data and model architectures through
2:16:05strong security measures such as access
2:16:08controls and non-disclosure agreements.
2:16:11Key steps include conducting IP due
2:16:13diligence to identify infringement
2:16:15risks, securing licenses for third-party
2:16:18data or algorithms, and documenting AI
2:16:21generated content origins, including
2:16:24training data and model details with
2:16:26legal guidance, especially for
2:16:28international IP laws. To put these
2:16:31strategies into practice, develop a
2:16:33clear compliance framework, conduct
2:16:35regular audits with legal checklists,
2:16:38use risk assessments to prioritize
2:16:40compliance efforts, and train employees
2:16:42on data protection, privacy, and IP
2:16:45practices. A well ststructured checklist
2:16:48covering data rights, consent
2:16:50management, and IP licensing helps
2:16:53maintain compliance.
2:16:55Working closely with legal teams is
2:16:57crucial for handling crossber data
2:16:59transfers and staying updated on
2:17:01evolving AI regulations. Compliance is
2:17:04an ongoing process that adapts to
2:17:06evolving laws and regulations.
2:17:09Automated compliance tools help monitor
2:17:11changes while proactive updates such as
2:17:14revising privacy policies keep products
2:17:17aligned with legal requirements.
2:17:19Embedding legal considerations from
2:17:21design to launch strengthens user trust,
2:17:25enhances reputation, and creates a
2:17:27competitive edge. Understanding and
2:17:30addressing bias in AI models is crucial
2:17:32to prevent legal and ethical issues that
2:17:35can lead to discrimination. For
2:17:37instance, facial recognition AI trained
2:17:40mostly on light-skinned individuals may
2:17:42misidentify people of color, causing
2:17:45unfair outcomes.
2:17:47strategies like data augmentation to
2:17:49create balanced training data sets,
2:17:51fairness metrics like disperate impact
2:17:53analysis and thorough documentation of
2:17:56bias mitigation efforts help make AI
2:17:59more equitable and inclusive.
2:18:02By treating compliance as a core product
2:18:04feature, you enhance value, protect
2:18:07users and the company, and support
2:18:10long-term success. Transparent
2:18:12communication of compliance efforts to
2:18:14users like publishing regular compliance
2:18:17reports and providing clear explanations
2:18:19of data usage further builds trust and
2:18:22confidence in your product.
2:18:28[Music]
2:18:35Welcome to the stakeholder and change
2:18:37management essentials module. Today
2:18:40we're diving into the essential skill of
2:18:42stakeholder management. Think of
2:18:44stakeholders as the various players in a
2:18:47game, each with their own goals,
2:18:49motivations, and expectations. Hi there,
2:18:53I'm Maria, a product manager. In my
2:18:55world, successful product development
2:18:57isn't just about building great
2:18:59products. It's also about managing
2:19:01relationships. As a product manager,
2:19:04you're like a skilled diplomat
2:19:05navigating the needs and expectations of
2:19:08various stakeholders to ensure everyone
2:19:10is aligned and working towards a common
2:19:12goal. In this module, we'll learn how to
2:19:15identify key stakeholders. We'll explore
2:19:18who these stakeholders are, both
2:19:19internal like your development team,
2:19:22marketing team, and executives and
2:19:24external like customers, partners, and
2:19:26even regulators. Understand their
2:19:29interests. We'll delve into what
2:19:31motivates each stakeholder and what they
2:19:33hope to achieve from the product.
2:19:35Develop a communication plan. We'll
2:19:37learn how to effectively communicate
2:19:39with stakeholders. Keep them informed
2:19:41and manage their expectations. Navigate
2:19:44change management. We'll discuss
2:19:46strategies for handling resistance and
2:19:48ensuring smooth transitions during
2:19:50product changes or launches. Let's
2:19:53explore a few real world examples.
2:19:55Imagine you're launching a new mobile
2:19:57app. Your development team is excited
2:19:59about the innovative features, but
2:20:01they're concerned about tight deadlines.
2:20:03You'll need to manage their expectations
2:20:05and ensure they have the resources and
2:20:07support they need to deliver a quality
2:20:09product on time. Meanwhile, your
2:20:12marketing team is eager to start
2:20:13promoting the app, but they need clear
2:20:15messaging and assets from you. You'll
2:20:18need to collaborate closely with them to
2:20:20ensure a successful launch campaign. And
2:20:22let's not forget your customers. They're
2:20:24the ultimate stakeholders. You'll need
2:20:27to gather their feedback throughout the
2:20:28development process to ensure you're
2:20:30building a product they'll love.
2:20:32Effective stakeholder management is
2:20:34about building relationships, fostering
2:20:36trust, and keeping everyone informed and
2:20:38engaged. It's also about anticipating
2:20:41and addressing potential conflicts or
2:20:43resistance to change.
2:20:45[Music]
2:20:55Welcome to the exciting world of
2:20:57stakeholder management. In the realm of
2:21:00product management, successful journeys
2:21:02depend on strong relationships and
2:21:04collaboration. Think of it like a
2:21:06bustling airport where various
2:21:08individuals and teams play crucial roles
2:21:11in ensuring passengers reach their
2:21:13destinations safely and smoothly.
2:21:16Hi there, I'm Aaron and I'm here to
2:21:19guide you through the intricacies of
2:21:20stakeholder management. In product
2:21:23development, we have a diverse group of
2:21:25individuals and teams with different
2:21:27needs and perspectives. Much like the
2:21:29passengers, crew, and staff at an
2:21:31airport. Just as a well functioning
2:21:33airport relies on seamless coordination
2:21:35and communication between various
2:21:37parties, a successful product depends on
2:21:40strong relationships with its
2:21:42stakeholders. Let's explore some key
2:21:45players in this journey and how their
2:21:46needs influence the product's
2:21:48development and success. Each
2:21:50stakeholder has their own unique
2:21:52perspective and priorities. Much like
2:21:54passengers have different destinations
2:21:56and travel preferences. As a product
2:21:59manager, your role is to understand
2:22:01these perspectives, address their needs,
2:22:03and ensure a smooth and successful
2:22:05journey for everyone involved.
2:22:08For example, let's say you're developing
2:22:10a new travel booking app. Your
2:22:12customers, the travelers, want an
2:22:14easytouse interface and personalized
2:22:17recommendations. Your development team,
2:22:19the pilots and engineers, needs clear
2:22:22requirements and sufficient time to
2:22:24build robust features. Your marketing
2:22:27team, the flight attendants, needs
2:22:29compelling stories to promote the app's
2:22:30benefits. And your executives, the air
2:22:33traffic controllers, are looking for
2:22:35increased bookings and revenue growth.
2:22:38By understanding each stakeholder's
2:22:40needs and fostering open communication,
2:22:42you can create a product that not only
2:22:44delights your customers, but also
2:22:46achieves your business goals. Remember,
2:22:48successful product management is about
2:22:50more than just building a great product.
2:22:53It's about facilitating a successful
2:22:55journey for everyone involved. By
2:22:57building strong relationships,
2:22:59understanding diverse perspectives, and
2:23:01ensuring effective communication, you'll
2:23:03navigate the complexities of product
2:23:05development and lead your product to its
2:23:07final destination, success.
2:23:11[Music]
2:23:20Change is the only constant in product
2:23:23development. In this video, we'll
2:23:25explore why embracing change is
2:23:27essential for success, especially in
2:23:29industries like enterprise software and
2:23:31B2B services. Change can be seen as an
2:23:35opportunity to innovate and improve, not
2:23:37a threat. By the end of this video,
2:23:40you'll learn to discuss the
2:23:41inevitability of change in product
2:23:43development and how product managers can
2:23:45proactively manage it. In product
2:23:47development, change is inevitable.
2:23:50Whether it's a new version of Microsoft
2:23:51Azure or shifting market demands, change
2:23:54drives progress, but it can also be
2:23:57disruptive. Your ability to manage
2:23:59change can determine your success in the
2:24:02role of a product manager. It's
2:24:04important to navigate change with
2:24:06confidence and use it as a stepping
2:24:08stone to deliver better products. Change
2:24:11comes in various forms, whether they're
2:24:13new security features in Office 365 or
2:24:16shifting customer requirements for cloud
2:24:18services. Instead of fearing it, view
2:24:21change as a chance to innovate. A
2:24:23dynamic product roadmap that adapts to
2:24:25new technologies or feedback is crucial
2:24:28for staying relevant and competitive.
2:24:31Reframing how you think about change is
2:24:33the first step. View it through the lens
2:24:36of growth and innovation. Shift your
2:24:38mindset to see your product roadmap as a
2:24:41flexible guide, not a rigid plan. This
2:24:44allows for the integration of new
2:24:46developments such as emerging enterprise
2:24:48solutions or customer needs, keeping
2:24:51your product ahead of the curve.
2:24:53Encourage your team to adopt a similar
2:24:55attitude. Open communication and active
2:24:58listening fuel innovation. Make it clear
2:25:01that everyone's contributions are
2:25:03valued. Teams that quickly adapt, like
2:25:06those who embrace the latest updates
2:25:07from cloud service platforms, are those
2:25:10that thrive and succeed in turning
2:25:12threats into opportunities.
2:25:15Now, let's focus on a critical element
2:25:17of successful change management.
2:25:19Transparent communication. Keep
2:25:22stakeholders informed about any product
2:25:24changes, be it feature updates or shifts
2:25:27in timelines. Open communication builds
2:25:30trust and ensures all parties remain
2:25:33aligned with the product's strategic
2:25:34direction, enhancing the likelihood of
2:25:37success.
2:25:38While you can't predict every change,
2:25:40you can certainly orient yourself for
2:25:42some actions. To identify potential
2:25:45shifts and disruptions, make sure to
2:25:47acquaint yourself with industry trends.
2:25:50For example, keeping track of updates in
2:25:52your provider's cloud services may
2:25:54highlight opportunities for improvement
2:25:56in your services.
2:25:58Stay updated with industry trends via
2:26:00publications and conferences. New
2:26:02technologies or regulatory changes
2:26:05significantly impact product roadmaps,
2:26:07including those for enterprise
2:26:09solutions. Networking with professionals
2:26:12provides valuable insights into
2:26:14potential shifts that require attention.
2:26:17Monitor competitor activities like
2:26:19changes in their software features or
2:26:21new market entries. Understanding your
2:26:23competitors helps shape your strategy
2:26:25and prepare your product for upcoming
2:26:28challenges. Listen closely to your
2:26:30customers and team. Customer feedback
2:26:33through surveys or interviews often
2:26:35highlights emerging trends or unmet
2:26:37needs. Internal feedback helps fine-tune
2:26:41strategies and encourages a proactive
2:26:43approach to improvement. Engaging in
2:26:46these activities allows you to scan the
2:26:48horizon for potential opportunities or
2:26:50threats. Quick identification means
2:26:53better planning and adapting strategies
2:26:55early, keeping your product competitive
2:26:57and aligned with market needs. Early
2:27:01identification of potential changes
2:27:03provides more time to react
2:27:05strategically. Proactive change
2:27:07management enables you to stay ahead.
2:27:10Navigating product development
2:27:12confidently positions your product as
2:27:14relevant and successful. Take the time
2:27:17to recognize and celebrate when your
2:27:19team successfully navigates change.
2:27:21Acknowledging efforts boosts morale and
2:27:24fosters a culture that welcomes future
2:27:26challenges, resulting in continuous
2:27:28improvement and innovation.
2:27:31In product development, change is
2:27:33unavoidable. But with the right
2:27:35approach, it becomes a catalyst for
2:27:37innovation. Embrace it, strive for
2:27:40adaptability, and communicate openly. By
2:27:43doing so, you and your team will
2:27:45maintain relevance and continue
2:27:47providing exceptional products.
2:27:49[Music]
2:27:57Welcome to this video on how to use
2:27:59monday.com to streamline communication
2:28:02and track engagement with your
2:28:04stakeholders.
2:28:06This video will walk you through how to
2:28:08use monday.com's features to keep
2:28:11everyone aligned, facilitate seamless
2:28:13communication, and ensure that your team
2:28:16stays engaged throughout the project
2:28:17life cycle. By the end of this video,
2:28:20you'll have a good understanding of how
2:28:22monday.com can improve your stakeholder
2:28:25management process, ensuring that
2:28:28communication flows efficiently and
2:28:30stakeholders are kept informed at every
2:28:33step. We'll start by opening monday.com.
2:28:37monday.com is designed to be a highly
2:28:39visual tool offering an intuitive
2:28:41dashboard that allows you to view,
2:28:43track, and manage your projects. This
2:28:46makes it ideal for managing both
2:28:48internal team communications and
2:28:50external stakeholder engagement.
2:28:53Step one, in monday.com, communication
2:28:57and tracking are primarily organized
2:28:59through boards. These boards can be
2:29:02customized to fit the unique needs of
2:29:04your project or organization.
2:29:06To start, let's create a new board for
2:29:09stakeholder management. Click on plus
2:29:11add new board and name it stakeholder
2:29:14engagement. This board will serve as a
2:29:17central hub where you can track tasks,
2:29:19manage updates, and communicate with key
2:29:22stakeholders. You can organize this
2:29:24board into columns that represent
2:29:26different stages of engagement like
2:29:28initiated, in progress, and completed.
2:29:33Step two, with the board set up, the
2:29:35next step is to add tasks. Tasks in
2:29:38monday.com represent individual action
2:29:41items or key milestones related to
2:29:44stakeholder communication. To add a
2:29:47task, click plus add task in the board.
2:29:50Let's say one task is to prepare
2:29:52stakeholder update on product launch.
2:29:55We'll add that task and then assign it
2:29:57to the appropriate person by selecting
2:29:59an owner. This ensures each team member
2:30:02knows exactly what they are responsible
2:30:04for. To keep stakeholders engaged, it's
2:30:07crucial to ensure that tasks are clearly
2:30:10defined and properly assigned in
2:30:12monday.com. You can also add due dates
2:30:15to tasks by clicking the calendar icon.
2:30:18For instance, this update might need to
2:30:20be ready by Friday. Step three. One of
2:30:24the most powerful features of monday.com
2:30:27is the ability to communicate directly
2:30:29within tasks. Each task has a dedicated
2:30:32update section where team members can
2:30:35leave comments, ask questions, or share
2:30:38documents. For example, if the task
2:30:41owner has a question about the content
2:30:43of the stakeholder update, they can add
2:30:45a comment in the update section. other
2:30:48team members or stakeholders who are
2:30:50part of the task can respond in real
2:30:53time. This keeps all communication
2:30:56centralized.
2:30:57Step four, effective stakeholder
2:31:00management often involves sharing
2:31:02documents such as status reports or
2:31:04presentations.
2:31:06Monday.com allows you to attach files
2:31:08directly to tasks, making it easy for
2:31:11stakeholders to access important
2:31:13information. Let's say the stakeholder
2:31:16update requires a PowerPoint
2:31:18presentation.
2:31:19You can upload the file directly to the
2:31:21task by clicking the add file button or
2:31:25by dragging and dropping. Step five,
2:31:28keeping stakeholders in the loop often
2:31:31means sending frequent updates. Monday
2:31:33monday.com's automation features help
2:31:36streamline this process. You can set up
2:31:39automations to send notifications to
2:31:41stakeholders when a task is completed or
2:31:43when a deadline is approaching. To do
2:31:46this, click on automate and choose the
2:31:48rule you want to apply. For example, you
2:31:51can automate an email notification to be
2:31:53sent to the stakeholder when the prepare
2:31:55stakeholder update on product launch
2:31:57task is marked as complete. This ensures
2:32:00that stakeholders are kept informed.
2:32:03This example shows how you can customize
2:32:05each part of the automation, but there
2:32:07are many templates and pre-built
2:32:09automations to take advantage of.
2:32:13Step six, in addition to managing tasks
2:32:16and communication, monday.com allows you
2:32:19to track engagement metrics to
2:32:21understand how well your stakeholders
2:32:23are engaging with the project. By using
2:32:26the status column, you can mark tasks as
2:32:29in progress, stuck, or completed, giving
2:32:33stakeholders a clear view of project
2:32:35progress at a glance. For example, if
2:32:38the stakeholder update is marked as
2:32:40working on it, team members and
2:32:43stakeholders will know that the work is
2:32:45underway but not yet complete. If a task
2:32:48gets stuck due to external delays, you
2:32:50can mark it as stuck and leave a note
2:32:53explaining the reason. You can see the
2:32:56overall status of the group of tasks by
2:32:58looking at the bottom row. Step seven.
2:33:02Monday.com's dashboards offer a
2:33:04high-level view of project progress,
2:33:07making it easy to communicate updates to
2:33:09stakeholders in a visual format.
2:33:12Dashboards can include graphs, charts,
2:33:14and timelines that show task completion
2:33:17rates, upcoming deadlines, and
2:33:19engagement levels. To create a
2:33:22dashboard, click add view, then explore
2:33:25more views and select workload. This
2:33:28helps managers know who needs help and
2:33:30who might be available for more work. By
2:33:34organizing tasks, centralizing
2:33:36communication, and automating updates,
2:33:38monday.com allows you to streamline the
2:33:41entire process and ensure that
2:33:43stakeholders are always informed and
2:33:45engaged with your project.
2:33:48[Music]
2:33:58Welcome to the highwire act of product
2:34:00management. Balancing the demands of
2:34:02diverse stakeholders. Like a skilled
2:34:05titro walker, product managers must
2:34:08carefully navigate competing interests
2:34:10and find a path that leads to success
2:34:12for all.
2:34:16I'm Robert and I'm here to share the
2:34:18secrets of managing conflicting
2:34:19stakeholder expectations. As a product
2:34:22manager, you'll often find yourself in
2:34:23the middle of a delicate balancing act
2:34:25with stakeholders pulling you in
2:34:27different directions. For me, on one
2:34:29side of the rope, there are marketing,
2:34:31sales, and executives, pulling me
2:34:33towards innovation, revenue growth, and
2:34:36market share. On the other side, there
2:34:38are engineering, design, and customer
2:34:40support, pulling me toward technical
2:34:42feasibility, user experience, and
2:34:44product stability. Imagine you're
2:34:46launching a new fitness tracker. The
2:34:48marketing team wants flashy features to
2:34:50attract customers. The engineers
2:34:52prioritize technical feasibility and
2:34:54stability, and the finance team is
2:34:56focused on cost efficiency. It's like
2:34:59walking a tight trove, carefully
2:35:00balancing each step to avoid falling.
2:35:03Each stakeholder has their own
2:35:05priorities and goals, and it's easy to
2:35:07feel pulled in different directions. But
2:35:09remember, the key is to find common
2:35:11ground and create a solution that
2:35:12benefits everyone. How do we achieve
2:35:14this delicate balance? Here are a few
2:35:17tips. Active listening. Take the time to
2:35:20truly understand each stakeholder's
2:35:22perspective and concerns. Clear
2:35:24communication. Set clear expectations.
2:35:26Provide regular updates. And be
2:35:28transparent about any trade-offs or
2:35:30compromises. Datadriven decision-making.
2:35:32Use data and insights to support your
2:35:34decisions and demonstrate the value of
2:35:36different approaches. Collaboration and
2:35:39compromise. Encourage open dialogue and
2:35:41foster a collaborative environment where
2:35:43everyone feels heard and respected.
2:35:46Focus on the shared goal. Remind
2:35:48everyone that the ultimate goal is to
2:35:49create a successful product that
2:35:51benefits both the business and the
2:35:53users. By skillfully managing
2:35:55stakeholder expectations, you can turn
2:35:57potential conflicts into opportunities
2:35:59for collaboration and innovation.
2:36:01Remember, it's not about pleasing
2:36:03everyone all the time. It's about
2:36:04finding the right balance and making
2:36:06decisions that move the product forward
2:36:08in the right direction.
2:36:10[Music]

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