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Microsoft AI Product Manager Course 4 - Product Design and UX/UI Fundamentals — Transcript

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0:07In today's techdriven world, product
0:09design is at the heart of creating
0:10successful enterprise software,
0:12particularly for B2B platforms like
0:14Microsoft Teams and Microsoft Power
0:17Automate. Understanding how UX and UI
0:20designers work together can help you
0:21create tools that drive business
0:23efficiency and user satisfaction.
0:26Product design ensures seamless user
0:28experiences with complex software. For
0:30example, an intuitive dashboard in
0:33Microsoft PowerBI or Excel's
0:35straightforward navigation demonstrates
0:37how effective design improves usability
0:40and productivity. At the end of this
0:42video, you'll be able to define the core
0:45principles of product design as applied
0:47to SAS workflow automation platforms.
0:50explain the distinct roles of UX and UI
0:52designers and their collaborative
0:54approaches in developing intuitive no
0:56code interfaces. Product design creates
0:59and develops products solving user
1:01problems and fulfilling needs pivotal
1:03for seamless enterprise software
1:04experiences. For instance, Microsoft
1:07Teams uses strong product design for
1:09smooth communication and collaboration
1:12going beyond aesthetics to enhance the
1:14entire user experience. A key UX
1:17methodology is design thinking. a human-
1:20centered approach involving
1:21understanding, ideulating, prototyping,
1:24and testing user needs. Now, let's meet
1:27the key players in product design, UX
1:29and UI designers. How do they contribute
1:32to software like Microsoft Office 365?
1:35First, the UX designer focuses on the
1:38overall experience for ease of use and
1:40satisfaction. They make tools like
1:42Outlook intuitive for effortless task
1:44management through user research and
1:46user flows, ensuring seamless software
1:49journeys. Accessibility is a key aspect,
1:52making products usable for everyone.
1:54Conversely, the UI designer focuses on
1:57visual and interactive elements shaping
2:00Microsoft's look and feel. They ensure
2:02Word's layout, Excel's colors, and
2:05PowerPoint's typography are appealing
2:07and userfriendly, aiming for efficient
2:09user interfaces. UI designers also
2:12ensure accessibility by making visual
2:15elements perceivable and operable for
2:17everyone. Consider product design like
2:19constructing a building. The UX designer
2:22is the architect, focusing on the
2:24functional layout. They ensure software
2:26like Microsoft SharePoint meets user
2:28demands. The UI designer is the interior
2:31decorator, creating an inviting and
2:34visually engaging environment. In some
2:36cases, a designer might perform both
2:38roles, integrating functionality with
2:40aesthetics to produce a well-rounded
2:43user experience. UX lays the groundwork
2:46by understanding user needs and planning
2:48the product structure. UI designers then
2:50translate this into a visually
2:52compelling and userfriendly interface.
2:55This synergy is akin to how Microsoft
2:57One Drive ensures files are easy to
2:59store and retrieve while maintaining an
3:01appealing interface. This collaboration
3:04requires ongoing communication and
3:06feedback. UX designers share insights
3:09and layouts with UI designers who
3:11transform these into visual designs.
3:14These designs are iterated based on
3:15feedback and testing. It's like
3:17fine-tuning Microsoft Power Automate,
3:20ensuring it serves users both
3:21functionally and visually. In enterprise
3:25software, the upcoming Noode Design
3:27methodology saves time and effort with a
3:29lower learning curve. Tools like
3:31Microsoft Power Apps enable product
3:33managers to easily tailor workflows,
3:36democratizing software development by
3:38empowering non-coders with automation,
3:41thus enhancing efficiency. For
3:43designers, this presents a challenge.
3:45Crafting interfaces that are simple for
3:47any user to engage with yet powerful
3:50enough to meet diverse needs. With
3:52products like Microsoft Teams, balancing
3:54the simplicity with flexibility allows
3:56users to easily navigate the platform
3:59and leverage its capabilities. No code
4:02design puts automation in the hands of
4:04users, boosting productivity and
4:06allowing businesses to focus on core
4:08tasks. With Microsoft's tools,
4:11businesses can streamline operations
4:13without relying heavily on technical
4:15resources, leading to more agile and
4:17effective processes.
4:19By understanding UX and UI designers
4:22roles and their collaboration in no code
4:24design, you appreciate the intricacies
4:27of creating user centric products.
4:29Remember, good design goes beyond
4:31aesthetics. It's about understanding
4:33users, predicting their needs, and
4:36crafting intuitive, enjoyable
4:37experiences that help them achieve their
4:40goals.
4:52Welcome to the Design Team Symphony,
4:54where creativity and collaboration
4:56harmonize to create unforgettable
4:57product experiences. Just like a
4:59symphony orchestra, each design role
5:01plays a vital part in crafting a
5:03beautiful and impactful composition.
5:06Today, we will explore the unique
5:08contributions of each design role and
5:10discover how their harmonious
5:11collaboration leads to exceptional
5:13products.
5:14Meet Adrian, our maestro of design. He
5:17understands that a successful product
5:19isn't just about the individual. It's
5:21about the collaboration of diverse
5:22talents. Just as a symphony needs a
5:25conductor to guide the orchestra, a
5:27design team needs a product manager to
5:29orchestrate the creative process. It's
5:31the unique contributions of each
5:33instrument, similar to each design role,
5:35that bring the product to life. UX
5:38designers are like the violins, laying
5:39the foundation with user research and
5:41creating intuitive flows that guide the
5:43user's journey. They're the ones who
5:46understand the user's needs and desires,
5:48conducting interviews, surveys, and
5:50usability tests to uncover hidden
5:52insights. They ensure the product is not
5:54only functional but also enjoyable and
5:56easy to use. UI designers like the
5:59cellos add depth and richness with
6:01visually appealing interfaces and
6:03interactive elements. They take the
6:05structural framework of wireframes.
6:07Think of them as sheet music and add
6:09color, typography, and motion.
6:11>> UI designers are the visual storytellers
6:14of the digital world.
6:15>> Graphic designers like the trumpets add
6:17flare and personality with their
6:19creative visuals and branding elements.
6:22They're the masters of visual
6:23communication, crafting logos,
6:25illustrations, and marketing materials
6:27that capture the product.
6:28>> They craft the visual identity that
6:30makes the product stand out and leaves a
6:32lasting impression.
6:34>> Developers like the drums provide the
6:36rhythm and pulse, bringing the design to
6:38life through code.
6:41>> They translate design concepts into
6:43functional reality, making sure the
6:45product works seamlessly.
6:46>> Just like in an orchestra, every
6:48instrument is essential. When design
6:51roles collaborate effectively, they
6:53create a product experience that
6:54elevates beyond its individual elements,
6:56forming a cohesive and impactful hole.
7:00So, let's embrace the power of
7:01collaboration led by our product manager
7:03as the conductor and create products
7:05that connect with users and leave a
7:07lasting impact.
7:20Welcome to the design thinking journey.
7:22It's a path that leads to innovation,
7:24problem solving, and user centric
7:26solutions. Today, we will explore this
7:29exciting process and discover how design
7:31thinking can empower you to create
7:32products that truly resonate with your
7:34users. Meet Zoe, a creative problem
7:37solver with a passion for design. She's
7:39facing a challenge, creating a new
7:41product to revolutionize how people
7:43commute to work. So, let's get started
7:45on this journey. The design thinking
7:47journey begins with empathy. It's about
7:50understanding the users, their needs,
7:51and their pain points. It's about
7:53putting yourself in their shoes and
7:55seeing the world through their eyes.
7:57>> I'm learning so much about the
7:58frustrations and challenges people face
8:00during their daily commute. There's a
8:02real opportunity here to make a
8:04difference.
8:04>> Next, it's time to define the problem.
8:07You've gathered valuable insights from
8:08your empathy stage. Now, it's time to
8:10make sense of it all. Analyze your
8:12research findings, identify patterns,
8:14and pinpoint the core challenge your
8:16users are facing. The problem isn't just
8:18about getting from point A to point B.
8:21It's about making the commute more
8:22enjoyable, efficient, and sustainable.
8:25>> Now, let your creativity flow.
8:27Brainstorm a wide range of ideas, no
8:29matter how wild or unconventional they
8:31may seem. There are no bad ideas at this
8:34stage.
8:35>> What if we created a self-driving bike
8:37lane or a network of electric scooters
8:39that fold up into a briefcase?
8:41>> It's time to bring your ideas to life.
8:43Build quick prototypes to test your
8:45concepts and gather feedback.
8:47>> This prototype helps us visualize the
8:49user experience and identify potential
8:51flaws early in the process.
8:54>> Now, put your prototypes in front of
8:56real users and gather feedback. This is
8:58where you learn what works and what
9:00doesn't, allowing you to iterate and
9:01refine your design.
9:03>> The feedback we're getting is
9:04invaluable. It's helping us make our
9:06product even better. The design thinking
9:09journey is a powerful process that leads
9:11to human- centered solutions. By
9:14empathizing with users, defining the
9:16problem, ideulating creatively,
9:18prototyping, and testing, you can unlock
9:20innovation and create products that
9:22truly make a difference.
9:31Welcome to this condensed workshop on
9:33using Figma to brainstorm and prototype
9:35no solutions for SAS products. Today,
9:38I'll walk you through how to use Figma
9:40to simplify complex workflows and
9:42improve user experience through visual
9:44prototyping. Figma is a collaborative
9:47design tool, and it's perfect for
9:49product managers who need to quickly
9:50create prototypes without writing code.
9:53Throughout this video, we'll focus on
9:55how you can use Figma to ideulate,
9:57design, and prototype your SAS product,
9:59making it easier for you to communicate
10:01your ideas and solutions to your team.
10:04We're starting with a blank canvas in
10:06Figma. You can use Figma's intuitive
10:08interface to brainstorm ideas and
10:10rapidly prototype solutions all within a
10:13single workspace. I've already set up a
10:15workspace here called SAS workflow
10:18prototyping to demonstrate how we can
10:20work on simplifying a complex user flow.
10:23Step one, brainstorming and sketching
10:26workflows. The first step in our process
10:28is to brainstorm. Figma's collaboration
10:31features allow multiple team members to
10:33contribute to the brainstorming session
10:35in real time, which is especially useful
10:37when working remotely. Let's start by
10:39creating a simple workflow for a
10:41customer onboarding process for a SAS
10:43platform. I'll use Figma's shape and
10:46text tools to sketch out a basic
10:47flowchart.
10:49Click on the rectangle tool and start
10:51mapping out key steps in the onboarding
10:53process such as sign up, account setup,
10:57tutorial walkthrough, first action
10:59completed. Each of these steps
11:01represents a core part of the user
11:03journey. Step two, designing the
11:06prototype. After brainstorming the
11:08workflow, it's time to bring it to life
11:10by creating a clickable prototype. Figma
11:12allows you to prototype directly in the
11:14design environment without needing to
11:16switch tools, which makes the workflow
11:18seamless. Let's start by designing the
11:20signup screen for our onboarding
11:22process. I'll use Figma's pre-built UI
11:25kits to save time. To do this, click on
11:28assets and drag and drop elements like
11:30buttons and input fields directly onto
11:32the canvas. We'll place a sign up
11:35button, fields for name and email, and
11:37an option for users to select a plan.
11:40Make sure the layout is clean and
11:42intuitive, minimizing friction for new
11:44users. When designing these screens,
11:46focus on the simplicity of the
11:48experience. Users should be able to
11:50complete each step with minimal effort.
11:53Step three, prototyping interactions.
11:56Now that we have our initial screen,
11:57let's make the prototype interactive.
12:00Click on prototype mode in the top right
12:02corner of the screen. We'll link the
12:04sign up button to the next screen, which
12:06will be the account setup page. In the
12:08account setup screen, we'll ask users to
12:10enter basic information about their
12:12company. Once again, I'll use Figma's
12:15pre-built UI components to quickly build
12:17the interface. After you've designed the
12:20flow for both screens, connect them by
12:22dragging the interaction arrow from the
12:24button on the signup screen to the next
12:26screen. You can choose different types
12:28of transitions here, such as slide left
12:30or fade in. I'll select slide left to
12:34create a smooth transition between
12:35screens. Step four, testing the
12:38prototype. Now that we've created a
12:40basic flow from sign up to account
12:42setup, it's important to test the
12:44prototype. Figma allows you to preview
12:46your design and walk through the user
12:48flow as if it were a live product. Click
12:51present in the upper right corner to
12:53view the prototype. As you click through
12:55the screens, make sure the transitions
12:57feel natural and that the overall flow
13:00is easy to follow. This testing phase
13:02helps identify any usability issues
13:04early on, ensuring that the workflow
13:07remains intuitive. If you notice any
13:09friction points, like a confusing button
13:11label or too many fields on a form, you
13:14can quickly make changes and test again.
13:16Figma's realtime collaboration means you
13:18can gather feedback from your team while
13:20testing and update the prototype on the
13:22fly. Step five, gathering feedback and
13:25iterating. Once you've tested the
13:27prototype, it's time to gather feedback.
13:30Figma makes it easy to share the
13:32prototype with stakeholders by
13:33generating a sharable link. Stakeholders
13:36can leave comments directly on the
13:38design, allowing you to get specific
13:40feedback on each screen. Conclusion:
13:43Figma is a powerful tool for
13:45brainstorming, prototyping, and
13:47gathering feedback, making it ideal for
13:49designing no code solutions that
13:51simplify complex SAS workflows. By
13:54creating interactive prototypes, you can
13:56quickly visualize your ideas, test them
13:58with users, and iterate based on
14:00feedback.
14:08Welcome to this tutorial on how to use
14:10Figma for wireframing. Today, I'll guide
14:12you through the process of accessing
14:14Figma, creating basic wireframes, and
14:17sharing them for feedback. Whether
14:19you're a beginner or looking to refine
14:20your wireframing skills, this video will
14:23help you get started with Figma's core
14:24features. By the end of this video,
14:27you'll know how to create your first
14:28wireframe and efficiently share it with
14:30stakeholders for feedback.
14:32We're starting with a blank Figma
14:34dashboard. If this is your first time
14:36using Figma, you can sign up for free on
14:38their website and access the tool
14:40directly in your browser or through the
14:42desktop app. Once logged in, you'll see
14:44your main workspace where you can manage
14:46projects and files. Let's jump into
14:49creating our first wireframe. I've
14:51already set up a project folder called
14:53website redesign. And within it, we'll
14:55create a new file for our wireframes.
14:58Step one, setting up a new frame. Frames
15:01in Figma are like canvases where you'll
15:03design each wireframe. To create a new
15:05frame, click on the frame tool or press
15:08the F key. You'll see predefined frame
15:11sizes on the right side, ranging from
15:13mobile screens to desktop. For this
15:16demo, I'll choose desktop,
15:181440 pixels. Now that we've set up our
15:21wireframe, let's start by laying out a
15:23basic homepage wireframe. Wireframes are
15:27simple, lowfidelity designs that outline
15:29the structure of a web page without
15:31focusing on colors or detailed design
15:33elements. Step two, adding layout
15:36components. We'll begin by adding key
15:38elements like a header, navigation bar,
15:41hero section, and footer. Click the
15:43rectangle tool, R, to draw a placeholder
15:47for each of these sections. Let's start
15:49by drawing a rectangle at the top of the
15:51frame for the header. You can resize it
15:53and adjust its position as needed. Next,
15:56we'll add smaller rectangles for the
15:58navigation links within the header. Use
16:00the text tool T to label these as home,
16:04about, and contact. For the hero
16:07section, we'll add a larger rectangle
16:09just below the header to represent an
16:11image or main content area. Beneath
16:13that, we'll add a few smaller rectangles
16:16for call to action buttons and feature
16:18highlights.
16:19Step three, adding text and details. Now
16:23that we have the basic structure, it's
16:24time to add some text and placeholders
16:26for images. Using the text tool, T,
16:29we'll add a main headline in the hero
16:31section, such as, "Welcome to our new
16:34site." For each section, use text to
16:37indicate what type of content will
16:38appear there. For example, in the
16:40feature section, you might label the
16:42placeholders as feature one and feature
16:45two to give a sense of where key content
16:48will go. Don't worry about design
16:50details at this stage. Wireframes should
16:52remain simple and focus on structure.
16:55Step four, duplicating elements. To save
16:59time when designing repetitive elements
17:00like buttons or feature blocks, Figma
17:03allows you to quickly duplicate
17:04components. Select the element, press
17:07command or control + D, and drag the
17:10duplicate to the desired location.
17:12For example, if you want multiple
17:14buttons in your hero section, you can
17:17create one, duplicate it, and adjust its
17:19placement. Step five, sharing the
17:22wireframe for feedback. One of Figma's
17:25key strengths is its real-time
17:26collaboration and sharing features. Once
17:29your wireframe is complete, you can
17:31easily share it with your team or
17:32stakeholders for feedback. Click share
17:35in the top right corner and you can
17:36generate a link that allows others to
17:38view and comment on the wireframe. For
17:40example, you might ask your team for
17:42feedback on the layout or whether the
17:44structure aligns with the project's
17:46goals. Stakeholders can add comments
17:48directly on the wireframe, making it
17:50easy to track feedback in one place.
17:53Step six, organizing your wireframes. As
17:57you create more wireframes, Figma allows
17:59you to organize them efficiently. You
18:01can add multiple frames to a single
18:03file, allowing you to design different
18:05pages or versions in one workspace. For
18:08example, if you're working on multiple
18:10screens for a website redesign, like a
18:12homepage and an about page, you can
18:15create separate frames within the same
18:16project. To add a new frame for the
18:18about page, use the frame tool F again
18:21and select a new frame size. This keeps
18:23your wireframes organized and easy to
18:25navigate when sharing with others. Step
18:28seven, finalizing the wireframe. Once
18:31your wireframes are laid out and
18:33organized, you can move into the next
18:35phase of feedback or testing. Before
18:37handing the wireframes over to designers
18:39or developers, ensure that all
18:41structural elements are in place and the
18:43wireframe accurately represents the
18:45intended functionality and flow of the
18:47user experience. Conclusion: Wireframing
18:51in Figma is a fast and effective way to
18:53design the structure of your website or
18:55app, ensuring that the core layout is
18:57userfriendly and aligned with project
19:00goals. By using Figma's intuitive tools,
19:03you can quickly create wireframes, share
19:05them for feedback, and iterate in real
19:07time with your team.
19:19Welcome to the world of wireframing.
19:21It's where ideas take shape, where the
19:23blueprint for your digital product
19:25begins to emerge. Today, let's explore
19:28three essential tips to make your
19:30wireframes clear, effective, and
19:33userfriendly.
19:34>> I'm ready to bring my app idea to life,
19:36but wireframing feels a bit daunting.
19:38Where should I even begin?
19:40>> Don't worry, James. We'll guide you
19:42through it. First up, let's talk about
19:44layout. Think of it as the foundation of
19:46your design. A well organized layout
19:49guides the user's eye, creating a sense
19:51of clarity and purpose, just like a
19:53wellplanned city. Imagine a bustling
19:55city with wide streets, clear signage,
19:58and organized districts. That's what we
20:01want for our wireframes. Use grids and
20:03columns to create that visual
20:05consistency. Group related elements
20:08together and leave plenty of white space
20:10to give your design room to breathe.
20:12>> Okay, I see how a clear layout can make
20:14the app easier to navigate.
20:16>> Next, let's talk about hierarchy. It's
20:18all about prioritizing information and
20:21guiding the user's attention. Think of a
20:23newspaper headline. The most important
20:26information should be the most
20:27prominent. That's hierarchy and action.
20:30Use larger font sizes and bolder text
20:33for headlines and key calls to action.
20:35Subheadings and body text should be
20:37smaller and less visually prominent.
20:40>> Hierarchy makes so much sense. Now users
20:42will instantly know what's most
20:44important on each screen.
20:46>> Finally, let's explore user flow. This
20:48is the path that user takes through your
20:50product. Think about the user's goals
20:53and create a logical sequence of steps
20:55like planning a road trip with clear
20:57directions and minimal detours. Use
21:00clear calls to action and minimize
21:02distractions to keep users on track.
21:05User flow is like creating a road map
21:07for my users, ensuring they have a
21:09smooth and enjoyable experience.
21:11Remember, wireframing is an iterative
21:14process. Don't be afraid to experiment,
21:16test, and refine your designs until you
21:19achieve the perfect balance of form and
21:21function. By mastering these three key
21:23principles: layout, hierarchy, and user
21:26flow, you'll be well on your way to
21:28creating wireframes that not only look
21:31great, but also deliver exceptional user
21:33experiences.
21:45Welcome back, aspiring product managers.
21:48In an earlier module, we delve into the
21:51world of market research, discovering
21:53how to uncover valuable insights about
21:55your customers. Now, it's time to
21:58transform those insights into a
21:59remarkable product. Today we're
22:02exploring the power of design
22:03collaboration.
22:08>> Market research tells us what our users
22:11need, but design collaboration is how we
22:13bring those needs to life. It's about
22:16combining diverse perspectives and
22:18skills to create something truly
22:20exceptional.
22:21>> Think of a design team as a diverse
22:24group of superheroes, each with unique
22:26powers, working together to achieve a
22:28common goal. As you may recall, UX needs
22:31a deep understanding of user needs and
22:34behaviors to ensure the product is
22:36userfriendly and solves real problems.
22:39UI brings an artistic touch, crafting
22:41visually appealing interfaces that
22:44captivate and engage users. Graphic
22:46designers infuse the product with unique
22:48personality and style, creating
22:51eye-catching visuals, logos, and
22:53marketing materials, and developers
22:55transform those designs into a
22:57functional reality.
22:59Effective collaboration starts with open
23:02communication. It's about sharing ideas,
23:04giving and receiving feedback, and
23:07building on each other's strengths.
23:09>> I love how this design captures the
23:11essence of our brand, but let's explore
23:13ways to make it even more userfriendly.
23:16>> Design is another key concept during the
23:18collaboration process. It's a human-
23:21centered approach to problem solving,
23:23encouraging experimentation and
23:25iteration. Think of it as to where many
23:27ideas are presented and the team can
23:29freely explore possibilities, challenge
23:32assumptions and refine solutions.
23:34>> Absolutely. Design is all about putting
23:37the user first and constantly seeking
23:39ways to improve their experience.
23:42>> And to bring those ideas to life,
23:44visualization techniques like sketching
23:47and wireframing are essential. They
23:49provide a tangible representation of the
23:51product, allowing the team to visualize
23:54the user experience and gather early
23:56feedback.
23:57>> By collaborating and utilizing design
23:59thinking, we can transform abstract
24:02ideas into tangible solutions that meet
24:04our users needs.
24:06>> Remember, successful product development
24:09isn't a solo act. It's a collaborative
24:11effort where diverse talents come
24:13together to create something
24:15extraordinary.
24:27Welcome to the heart of user centric
24:29design where we'll unlock the secrets to
24:31building products that users love. Here
24:34we believe that the best products are
24:36born from a deep understanding of the
24:38people who will use them. Today, we'll
24:40explore how sketching and wireframing
24:42can help you tap into the minds of your
24:44users and create designs that truly
24:47resonate. Meet Sam, a passionate
24:50designer working on a new mobile app to
24:52help people manage their daily tasks.
24:54She's got some great ideas, but she
24:57knows that the key to success is putting
24:58the user at the center of her design
25:00process.
25:01>> I want to create an app that's not only
25:03beautiful, but also incredibly intuitive
25:06and easy to use. But how can I make sure
25:08I'm on the right track?
25:10>> That's where the magic of UX and UI
25:12design comes in. UX or user experience
25:15focuses on the overall feel and
25:18functionality of the product, ensuring
25:20it's intuitive, efficient, and enjoyable
25:22to use. UI or user interface is about
25:26the visual and interactive elements that
25:28bring the product to life.
25:30>> That makes so much sense. I'm excited to
25:33start sketching and wireframing to bring
25:35my ideas to life.
25:37>> Sketching is about capturing those
25:38initial sparks of inspiration and
25:41exploring ideas quickly and freely.
25:43Think of it as brainstorming on paper.
25:45>> I love sketching because it allows me to
25:47be creative and experiment without any
25:50constraints.
25:51>> Once you have a few promising ideas,
25:53it's time to move on to wireframing.
25:55Wireframes are like blueprints for your
25:57design, outlining the structure and
25:59functionality of each screen.
26:02Wireframes help you define the placement
26:04of key elements, navigation, and
26:06interactions. They're a great way to
26:08communicate your ideas to others, and
26:11get feedback early on.
26:13>> I love getting feedback on my
26:14wireframes. It helps me see things from
26:17a fresh perspective and make
26:18improvements before I invest too much
26:20time in the visual design.
26:23>> By prioritizing user centric design and
26:26utilizing tools like sketching and
26:28wireframing, you can avoid costly
26:30mistakes. Test your ideas early and
26:32ensure your product meets the needs of
26:34your users.
26:47Imagine your team struggling to
26:48collaborate because the tools they use
26:50aren't accessible to everyone.
26:52Accessibility for all is not just a nice
26:54to have. It's crucial for maximizing
26:56team effectiveness in today's digital
26:58workplace. In this video, we'll explore
27:01why inclusive design and accessibility
27:04are vital in product development for
27:05enterprise software. Creating products
27:08that accommodate diverse abilities is
27:10not only ethical, but also strategically
27:13beneficial for businesses. You'll learn
27:15how these principles impact your
27:17organization's success.
27:19By the end of this video, you'll be able
27:21to define inclusive design and
27:23accessibility, explain their importance
27:25in product development, identify common
27:28accessibility barriers that users with
27:30disabilities may encounter when using
27:32digital products, and apply strategies
27:36for designing and developing products
27:38that are accessible to a wider range of
27:40users.
27:42Accessibility ensures everyone can use
27:44technology regardless of their
27:46abilities. For instance, Microsoft Teams
27:49live captioning supports hearing
27:51impaired users, ensuring all team
27:53members contribute equally in meetings.
27:56Inclusive design goes beyond
27:58accessibility and from the outset
28:00incorporates the needs of all users in
28:02business and enterprise environments.
28:05Consider Microsoft's adaptive tools and
28:07technologies. They aren't just for
28:09employees with disabilities, but are
28:11designed to enhance the workflow and
28:13collaboration experience for everyone.
28:16Why is this emphasis on inclusivity
28:18important in B2B settings? Accessibility
28:22also enhances the overall user
28:24experience. Features like Microsoft
28:26Outlook's focused inbox help everyone
28:29manage their emails efficiently,
28:31benefiting not just those with cognitive
28:33challenges, but all users seeking better
28:35productivity. Committing to
28:37accessibility can significantly boost
28:39your brand's reputation. Inclusivity
28:42shows you value all users, fostering
28:44goodwill and a positive image. When
28:47tools like Microsoft Edge offer reading
28:49mode for various reading preferences and
28:51abilities, it demonstrates a user
28:53centered approach. But it's not just
28:56about reaching more people. Accessible
28:58design often leads to a better overall
29:00user experience for everyone. For
29:03instance, clear and concise instructions
29:06aren't just helpful for those with
29:07cognitive impairments. They benefit all
29:10users. It's a win-win situation.
29:12Moreover, demonstrating a commitment to
29:15accessibility can significantly enhance
29:17your brand reputation. When you
29:19prioritize inclusivity, you show that
29:22you care about all your users, fostering
29:24goodwill and building a positive brand
29:26image. Prioritizing accessibility can
29:29drive innovation and creativity. It
29:32challenges you to think differently as
29:34seen with Microsoft translators live
29:36translations which benefit not just
29:38multilingual users but teams globally.
29:42Embracing accessibility is not just
29:44ethical, it's smart business.
29:47Users face various barriers in digital
29:50products, including visual, auditory,
29:52motor, and cognitive challenges.
29:55Microsoft Office's features such as high
29:58contrast options and keyboard shortcuts
30:00demonstrate how products can overcome
30:02these barriers.
30:04Recognizing and addressing these
30:06barriers starts with awareness. Visual
30:09barriers might include text that is too
30:12small or low in contrast. Microsoft's
30:15built-in magnifier in Windows aids users
30:18with visual challenges.
30:20Auditory barriers can be addressed
30:22through features like subtitles and
30:24transcripts in Microsoft Stream,
30:26ensuring content accessibility for
30:28hearing impaired users. Motor barriers
30:31involve difficulties using traditional
30:33input devices. Microsoft's speech
30:36recognition tools in Azure help users
30:39navigate without a mouse or keyboard.
30:41Cognitive barriers are tackled by
30:43simplifying user interfaces. Microsoft's
30:46OneNote promotes clear instructions and
30:48easy navigation. benefiting everyone.
30:51Begin accessibility by embedding
30:53usability strategies into the design
30:56process as seen with Microsoft Teams
30:58where accessibility ensures everyone can
31:00focus on accomplishing tasks regardless
31:02of their abilities. Directions should be
31:06clear and feedback immediate. Microsoft
31:09365 emphasizes plain language and
31:11signposts, ensuring users don't struggle
31:14with complex terminology or tasks. Clear
31:17instructions and feedback. We'd ensure
31:19that every step from logging in to
31:22transferring funds is explained in plain
31:24language free of financial jargon.
31:27Visual cues and clear confirmations
31:29would guide users, especially those who
31:31might be new to mobile banking. Color
31:33choices matter greatly. Products like
31:36Microsoft Outlook use high contrast to
31:39make content clear and accessible for
31:41users with visual impairments. Tools
31:44like web aims color contrast checker
31:46help verify these choices. Keyboard
31:49navigation is a critical aspect and
31:51Microsoft Word is fully navigable via
31:54keyboard commands aiding users who rely
31:56on alternative navigation methods.
31:59Offering customization options such as
32:01changing font sizes or color themes like
32:04in Windows settings lets users adjust
32:06interfaces to their liking, promoting
32:08ease of use. By considering these
32:11accessibility factors from the start,
32:13you're not just building a tool. You're
32:15crafting an inclusive solution that
32:17caters to everyone's needs. Remember,
32:21accessibility isn't a task to check off.
32:24It's about shaping a more inclusive
32:26digital future. When accessibility is a
32:28priority, you create superior products
32:31for all.
32:42In this video, we'll explore the
32:44intricate world of UX UI design within
32:47enterprise environments and how it
32:49directly translates to software that not
32:51only meets but exceeds user
32:53expectations.
32:55Imagine an enterprise environment where
32:57software consistently meets user
32:59expectations, leading to streamlined
33:01operations and satisfied customers. This
33:04success often stems from a robust UXUI
33:07design process. In from idea to
33:10interface, we will explore this process
33:12and its role in crafting Microsoft
33:14products and other enterprise software
33:16solutions. The UX UI design process is
33:20fundamental shaping the user experience
33:23from initial concept to functional
33:25interface. Consider Microsoft Teams,
33:28which enhances collaboration through
33:30well-defined design phases, ensuring it
33:32aligns with both user and business
33:34requirements. The journey begins with
33:37research and discovery, comprising
33:39design and product research. Design
33:42research uncovers user needs and
33:44challenges through methods like
33:45interviews, observations, and surveys to
33:48gather firsthand insights. Product
33:51research involves market analysis and
33:54reviewing existing solutions like how
33:57Microsoft studies industry trends and
33:59competitor offerings to identify
34:01opportunities for innovation. Combining
34:03these research streams provides a
34:05comprehensive understanding of user
34:07desires and market demands. This
34:10holistic view drives the creation of
34:12software that genuinely resonates with
34:14users much like how Microsoft Word has
34:17evolved to accommodate diverse user
34:19needs.
34:20Next comes the design phase,
34:22transforming ideas into detailed
34:24wireframes and mockups. This is when the
34:27interface begins to materialize, like
34:29how Outlook transitioned from concept to
34:32a user-friendly tool for emails and
34:34scheduling. In the design testing phase,
34:37feedback is essential. By placing
34:39prototypes in users hands, we refine the
34:42design based on their interactions and
34:44feedback. This ensures a seamless
34:47experience and mirrors user testing
34:49conducted during the development of
34:50Microsoft Excel's features.
34:56Insights gathered here reshape designs
34:59leading to the development phase. This
35:01is where developers translate designs
35:03into functional software as seen when
35:06Microsoft engineers convert Office app
35:08designs into programs that users
35:10interact with daily. Following
35:12development, we conduct product testing,
35:15employing strategies like AB testing
35:17different versions and analyzing user
35:20statistics. These steps help verify the
35:23software's effectiveness and facilitate
35:25continuous improvement as demonstrated
35:27by updates to One Drive. Even post
35:30launch, the design process persists.
35:32Teams analyze user feedback to iterate
35:35and enhance functionality, maintaining
35:37the software's alignment with user needs
35:39and technological advancements.
35:41Throughout this process, collaboration
35:44between product managers and designers
35:46is crucial. Product managers guide the
35:50product toward business objectives while
35:52designers concentrate on user
35:53experiences, ensuring a balanced and
35:56effective outcome. This collaboration
35:58guarantees everyone works towards a
36:00unified vision resulting in products
36:03like Microsoft Azure that satisfy
36:05business needs and deliver an excellent
36:07user experience. Remember UXUI design is
36:11a cycle of continuous learning and
36:13adaptation from initial research to
36:16launch and beyond. By remaining user
36:19centric and receptive to change, you can
36:21create software that genuinely satisfies
36:24both users and the business. Embrace
36:26this journey. Listen to your users and
36:29collaborate effectively to develop
36:31enterprise software that distinguishes
36:33itself and makes a positive impact.
36:35Through consistent dedication to each
36:37phase and a commitment to understanding
36:39the user, the result will be a product
36:41that not only functions well, but also
36:44enhances the user's daily workflow. This
36:47approach promotes innovation and ensures
36:49long-term user satisfaction. By
36:51prioritizing user- centered design,
36:54businesses can create software that is
36:55both intuitive and powerful, driving
36:58efficiency and productivity within the
37:00enterprise.
37:12Imagine you're creating a new coffee
37:14shop app. You have a vision, but how can
37:16you ensure it truly serves your
37:18customers? That's where user research
37:20comes in. It's the key to unlocking the
37:23secrets of your users's needs,
37:25behaviors, and pain points.
37:30I want this app to be a hit, but I need
37:32to understand what my customers really
37:34want. How do they order their coffee?
37:37What frustrates them about existing
37:39apps? What features would make their
37:41experience even better?
37:43>> Design research is all about stepping
37:45into your users shoes. It's about
37:47empathizing with them. truly
37:49understanding their behaviors,
37:51frustrations, and even their unspoken
37:53desires. Instead of simply asking users
37:56what they want, design research focuses
37:59on observing their actions, listening to
38:01their feedback, and uncovering their
38:03underlying needs. It's about using these
38:06insights to shape the design of the
38:08product, ensuring it not only functions
38:10well, but also resonates with the people
38:12who will use it.
38:14>> My design research is uncovering key
38:17user needs. Users want to customize
38:19their orders further, but they feel
38:21intimidated by the coffee jargon. By
38:23simplifying the options and streamlining
38:26the payment process, we could see a
38:28significant increase in coffee orders.
38:30These insights are pure gold for UX/ UI
38:34designers. They form the foundation for
38:36creating user centric designs that solve
38:39real problems and deliver delightful
38:41experiences. The UX/UI design process
38:45begins with understanding the user. Then
38:48information architecture comes into
38:50play, organizing content and features in
38:53a logical and intuitive way. Next, we
38:56move on to prototyping, creating
38:58interactive mock-ups that allow users to
39:01experience the app firsthand.
39:03>> Prototyping is where my ideas really
39:05come to life. It's exciting to see how
39:07users interact with the design and get
39:09their feedback early on. Finally,
39:12testing is essential to gather feedback
39:14and refine the design further. It's an
39:16iterative process of continuous
39:18improvement. Testing is crucial. It
39:21helps me identify any pain points or
39:23areas of confusion so I can make the app
39:25even better before launch. Thanks to
39:27user research and the iterative design
39:29process, I'm confident that this app
39:32will be a hit with coffee lovers
39:33everywhere.
39:45In today's fast-paced world, businesses
39:47are constantly seeking ways to
39:49streamline their workflows and boost
39:51efficiency. But how can we transform
39:54innovative ideas into tangible solutions
39:56that address user needs? That's where
39:59the power of prototyping comes in. I've
40:01been brainstorming ideas for a new
40:03workflow automation platform that will
40:05change how we work. But how do I turn
40:07these concepts into something real?
40:09Something I can test and refine.
40:11>> Ben's facing a common challenge in the
40:14design process. Turning abstract ideas
40:16into concrete solutions that users can
40:19interact with. Prototyping is the key.
40:22It's like sketching out a rough draft of
40:24a user interface, allowing
40:26experimentation and refinement before
40:28finalizing the design. This is where
40:30Figma comes in. Figma empowers designers
40:33to create interactive prototypes with
40:36ease, transforming static designs into
40:38dynamic experiences. Start with
40:41lowfidelity prototypes, simple
40:43representations of your design crafted
40:45with basic tools that focus on the core
40:48functionalities and user flows. This
40:50allows you to gather early feedback and
40:52make necessary adjustments before
40:54investing time and resources in
40:56highfidelity mock-ups. The feedback I'm
40:59getting from the low-fidelity prototype
41:00is invaluable. It's helping me refine my
41:03design and ensure it meets the needs of
41:05my users. As you gather feedback and
41:07iterate on your design, Figma's
41:10prototyping capabilities allow you to
41:12create increasingly highfidelity
41:14prototypes.
41:16Highfidelity prototypes closely resemble
41:19the final product, allowing users to
41:21experience the look, feel, and
41:24functionality of the platform in a
41:26realistic setting. Highfidelity
41:28prototypes are like magic. They take my
41:30ideas to the next level, making them
41:32feel almost real. It's so helpful to see
41:34how users interact with a more polished
41:36version of the design. Their feedback at
41:38this stage is invaluable for fine-tuning
41:40the experience before we start building
41:42the actual product.
41:45Finally, testing is essential to gather
41:48feedback and refine the design further.
41:51It's an iterative process of continuous
41:53improvement.
41:54>> User testing is crucial. It's all about
41:56learning and improving. By getting real
41:58people to interact with our designs, we
42:00can gather valuable insights and make
42:02those crucial tweaks that turn a good
42:04product into a great one.
42:17Welcome to the world of intuitive
42:19design. Today, we'll explore the art of
42:21guiding the user's eye, crafting layouts
42:24that effortlessly lead them through your
42:25digital creations. It's about creating a
42:28visual hierarchy, highlighting key
42:30elements, and ensuring a seamless user
42:33experience.
42:34>> I want my designs to look good in users
42:36seamlessly towards their goals. How do I
42:39ensure that every element on the page
42:41has a purpose and contributes to the
42:43overall experience?
42:45>> Excellent question, Harbor. I'm excited
42:47to show you UX UI principles and how
42:50layout and visual hierarchy can
42:52transform your designs. Imagine a
42:54cluttered room versus a well organized
42:57one. Which one is easier to navigate and
42:59find what you need?
43:00>> The organized one. It's frustrating when
43:03you can't find what you're looking for.
43:05>> Exactly. The same principle applies to
43:07design. A clear layout provides
43:09structure and guides the user's eye,
43:11just like a wellplanned city with clear
43:14signage and pathways. Now let's add a
43:16visual hierarchy which is arranging
43:18elements to employee importance guiding
43:21users focus to crucial info or actions
43:24first.
43:24>> It's like creating a visual symphony
43:26where each element has a distinct role
43:29ensuring the most important information
43:31takes center stage and naturally guides
43:33the user's attention.
43:35>> Let's learn about common design patterns
43:37that leverage these principles. The F
43:39pattern mimics how we naturally read,
43:42placing important elements along the top
43:44and left side of the screen. Imagine a
43:47web page with the top horizontal bar
43:49containing the logo and main navigation.
43:51The left vertical column has subheadings
43:54and bullet points and the lower
43:56horizontal section features additional
43:58details. The Z pattern creates a dynamic
44:01flow ideal for landing pages. It guides
44:04the eye from one corner to the opposite,
44:07perfect for showcasing key messages and
44:09calls to action. Lastly, the Gutenberg
44:12diagram prioritizes dividing the screen
44:14into four quadrants based on natural
44:17reading gravity, placing the most
44:19important information in the top left
44:21quadrant and guiding the eye in a
44:23Z-shape across the page. These patterns
44:26guide users through the content in a way
44:27that feels natural and intuitive. By
44:30strategically placing elements according
44:32to these patterns, we can create a
44:34seamless and enjoyable user experience,
44:36ensuring users find the information they
44:39need.
44:51Today we'll delve deeper into the world
44:52of heristic evaluation. You'll learn how
44:55to apply these principles to your own
44:57designs and create user experiences that
44:59are both effective and enjoyable.
45:02Imagine you're not feeling well. You
45:04head to the doctor for a checkup. The
45:06doctor examines you, checks your vitals,
45:08and asks about your symptoms. They're
45:10looking for any signs of illness or
45:12potential problems.
45:13>> I've been having some trouble sleeping,
45:15and I'm feeling a bit sluggish.
45:17>> The doctor listens carefully, asks
45:19questions, and runs some tests. They're
45:22systematically evaluating your health to
45:24identify any potential problems. This
45:27process is very similar to a heruristic
45:29evaluation in the world of UXUI design.
45:32Just as a doctor checks your physical
45:34health, heristic evaluation examines the
45:37health of your user interface. Instead
45:39of a stethoscope, we use a set of
45:41established usability principles called
45:43heruristics. Heristics, what are those?
45:47Heristics are like guidelines for good
45:49design. They help us identify potential
45:51usability issues and ensure our
45:53interfaces are intuitive and
45:54userfriendly.
45:56Think of it like a checklist for a
45:57healthy user experience. By evaluating
46:00your interface against these
46:01heruristics, you can uncover hidden
46:03problems and areas for improvement. I
46:06see. So, it's about finding those design
46:08elements that might hinder the user
46:10experience. For example, are error
46:13messages clear and helpful? Does the
46:15design maintain consistency throughout?
46:17Is the interface flexible and efficient
46:20for different types of users? Can users
46:22easily recover from mistakes? Exactly.
46:25By evaluating your interface against
46:27these huristics, you can uncover hidden
46:29problems and areas for improvement. Just
46:32as a doctor prescribes treatment, a
46:34huristic evaluation helps you pinpoint
46:36solutions to enhance the user
46:38experience. That makes sense. It's like
46:40giving your interface a health check to
46:42make sure everything is okay. By
46:45conducting heristic evaluations early
46:46and often, you can prevent usability
46:48problems from impacting your final
46:50product. It's a proactive approach to
46:52creating designs that people truly enjoy
46:54using. Regular checkups are key to
46:57staying healthy. And the same goes for
46:59your interfaces. Regular heristic
47:01evaluations will keep your users happy
47:03and engaged.
47:12Welcome to this video on conducting a
47:14heristic evaluation of a user interface
47:17mockup. Today I'll guide you through the
47:19process of evaluating a user interface
47:21UI to identify usability issues and
47:24suggest improvements. We'll use a set of
47:27usability principles known as
47:29heruristics to systematically evaluate a
47:31UI and make practical recommendations.
47:34By the end of this video, you'll have a
47:36clear understanding of how to apply
47:38heristic evaluation in your product
47:39management process to enhance user
47:42experience. We'll begin by looking at a
47:44web interface for a task management
47:46application. For this demonstration,
47:49I'll walk you through common usability
47:50heristics like consistency, visibility
47:54of system status, and error prevention,
47:57and we'll identify potential issues with
47:59the interface, offering actionable
48:01improvements. Principle one, visibility
48:04of system status. One of the most
48:06important heristics is ensuring that the
48:08system keeps users informed about what
48:10is happening. Users should always know
48:13the systems current state through
48:14feedback within a reasonable time. Let's
48:17start by looking at the task creation
48:19feature. When we create a new task and
48:21hit save, there's no immediate
48:23confirmation that the task has been
48:25saved successfully.
48:27This can cause confusion for the user as
48:29they are left wondering whether the
48:31action was completed. Improvement
48:33suggestion. We can add a confirmation
48:36message or visual indicator like a check
48:38mark or notification to confirm the task
48:40has been saved. Principle two match
48:44between system and the real world.
48:46Interfaces should speak the user's
48:48language using familiar concepts, words,
48:50and metaphors that align with real world
48:53experiences.
48:54In this app, the terms used for project
48:57categories aren't very intuitive. For
48:59instance, work packages might not be
49:01immediately understood by the average
49:03user. This term could be more
49:05effectively communicated as projects or
49:08tasks.
49:10Our improvement suggestion is to
49:11simplify terminology to reflect common
49:14industry language that users are
49:15familiar with. Principle three,
49:18consistency and standards. Users should
49:21not have to wonder whether different
49:22words or actions mean the same thing.
49:25Consistency in layout, design, and
49:27terminology builds a sense of
49:29predictability for users. In the task
49:31list view, the icons used for editing
49:33and deleting tasks are inconsistent. On
49:36some screens, the edit icon is a pencil,
49:39while on others, it's a cog. This
49:41inconsistency may cause hesitation or
49:43confusion when users are trying to take
49:45action. Our improvement suggestion is to
49:48use consistent icons and actions across
49:50all screens to maintain clarity and
49:52improve the user's ability to predict
49:54the behavior of UI elements. Principle
49:57four, error prevention.
50:00It's always better to prevent errors
50:02from occurring in the first place than
50:03to provide error messages after they
50:05happen. In this UI, when users create
50:08tasks, there's no validation for the due
50:10date field. A user can enter an
50:13impossible date like one in the past
50:15without receiving any warning. Our
50:18improvement suggestion is to implement
50:19validation rules to prevent users from
50:21entering dates that don't make sense and
50:24provide suggestions for correcting
50:26errors before submission. Principle
50:28five, flexibility and efficiency of use.
50:32Interfaces should cater to both
50:33inexperienced and experienced users by
50:36providing shortcuts or more efficient
50:38ways to accomplish tasks. This
50:40application lacks keyboard shortcuts for
50:43creating, editing, or deleting tasks,
50:45which could improve efficiency for power
50:47users. Our improvement suggestion is to
50:50add keyboard shortcuts for frequently
50:52used actions like creating new tasks or
50:54marking tasks as complete. This would
50:57improve the overall speed and usability
50:58of the interface, especially for
51:00experienced users. Principle six,
51:04aesthetic and minimalist design.
51:06Interfaces should avoid unnecessary
51:08elements that don't provide value. The
51:11current dashboard is cluttered with
51:12redundant options and icons that serve
51:15no clear purpose. For example, there are
51:17two buttons to sort tasks, but they do
51:20the same thing. Our improvement
51:22suggestion is to remove redundant
51:23elements and simplify the layout to
51:25focus only on essential actions. This
51:28would create a more streamlined
51:30experience, reducing cognitive load for
51:32users. Principle seven, help users
51:35recognize, diagnose, and recover from
51:38errors. When errors do occur, users
51:40should easily understand what went wrong
51:42and how to fix it. In this UI, when a
51:45task fails to save, the error message is
51:47generic. Error occurred. Try again
51:50later. This message doesn't help users
51:53understand what the actual issue is. Our
51:55improvement suggestion is to provide
51:57more specific error messages that
51:59explain what caused the issue and
52:01suggest how to resolve it. for example,
52:04server timeout. You can refresh the page
52:06to restart your session. Conclusion:
52:10Conducting a heristic evaluation is a
52:12powerful method for identifying
52:14usability issues and improving user
52:16interfaces. By systematically reviewing
52:19a UI against established usability
52:21principles, you can pinpoint problem
52:23areas and offer actionable improvements
52:25that enhance user satisfaction.
52:38In the world of UX UI design,
52:41understanding user behavior is key to
52:43creating successful products. But
52:46sometimes simply asking users what they
52:48think isn't enough. Welcome to Unlocking
52:51Deeper Insights, where we'll explore
52:54advanced usability testing methods that
52:56reveal the hidden truths behind user
52:59interactions.
53:00>> We've conducted surveys and interviews,
53:02but I still feel like something is
53:03missing. How can we get a more complete
53:05picture of the user experience?
53:08>> That's where advanced usability testing
53:10methods like eyetracking and cognitive
53:12walkthroughs come into play. They allow
53:15us to go beyond the surface and delve
53:17into the subconscious mind of the user.
53:20Eyetracking technology uses specialized
53:22cameras and software to precisely track
53:25the user's gaze as they interact with an
53:28interface. It's like having a spotlight
53:30on their attention, revealing exactly
53:32where their eyes land, how long they
53:34linger on each element, and the path
53:36their gaze takes across the screen. This
53:39is fascinating. We can see exactly where
53:41users are getting stuck or confused.
53:44even if they don't explicitly mention it
53:46in their feedback.
53:47>> And then there are cognitive
53:48walkthroughs, a powerful method that
53:51invites us to step into the user's mind,
53:53not just observing their actions, but
53:55understanding the why behind them. It's
53:57like having a conversation with the
53:59user's inner monologue. We ask them to
54:01think aloud as they navigate through the
54:03interface, explaining their actions and
54:05expectations at each step. This allows
54:08us to map their thought process and see
54:10the world from their perspective.
54:12>> Right? Cognitive walkthroughs help us
54:14bridge the gap between what we think
54:16users will do and what they actually do.
54:19We can identify those moments of
54:20confusion, those hidden assumptions we
54:23made as designers that might not be
54:25obvious to a firsttime user.
54:27>> By combining these advanced techniques
54:29with traditional usability testing
54:31methods, you gain a more nuanced
54:34understanding of user behavior.
54:36>> I'm so impressed by the depth of
54:38understanding we're gaining through
54:39these advanced methods. We've uncovered
54:42usability issues we never would have
54:44discovered through surveys alone. This
54:46allows us to make datadriven design
54:48decisions and create products that meet
54:51our users needs.
55:04Welcome to the exciting world of UXUI
55:06design, where ideas transform into
55:09reality and user experiences are created
55:11with care. Today, we'll explore the
55:14heart of visual communication,
55:16wireframes, and mockups. I have so many
55:18ideas for a new mobile app, but
55:21sometimes it's hard to explain my vision
55:23to the team. How can I make my concepts
55:25more concrete and easier to understand?
55:28>> That's a common challenge, Sophia. Let's
55:31explore how wireframes and mockups can
55:33be your communication superheroes. Think
55:35of wireframes as the blueprint of your
55:37design. They're like the skeletal
55:39structure of a building, outlining the
55:41key elements and their placement. So,
55:43wireframes focus on functionality and
55:45user flow, not the final look.
55:48>> Exactly. It's about laying the
55:49groundwork for a great user experience.
55:52They're perfect for early stage
55:53collaboration, allowing everyone to
55:55understand the core concept and provide
55:57feedback.
55:58>> Okay, great. So, wireframes can help me
56:00and my team get on the same page
56:02quickly. We can discuss ideas and make
56:05changes without getting overwhelmed by
56:07visual details. That's right. Now, let's
56:10add some color and personality. It's
56:12time for mock-ups. Mock-ups take it a
56:15step further. They take your wireframes,
56:17those basic blueprints, and elevate them
56:19into a lifelike representation of the
56:21final product. Mockups can bring my
56:23vision to life. They can help clients
56:25and stakeholders understand the look and
56:28feel of the final product. Mockups are
56:30perfect for presentations and gathering
56:32feedback from stakeholders or even
56:34customers. They help bridge the gap
56:36between design and development, ensuring
56:38everyone is on the same page and
56:40minimizing misinterpretations and costly
56:43revisions down the line. They're also
56:45essential for user testing, allowing you
56:47to gather feedback on the visual design,
56:49interactions, and overall user
56:51experience before you invest heavily in
56:53development.
56:55I feel confident presenting my ideas to
56:58the team. Now, with wireframes, we can
57:00quickly explore different layout options
57:02and user flows. And with mock-ups, we
57:05can bring those ideas to life and make
57:07sure everyone has a clear understanding
57:09of the final products look and feel.
57:11It's a much more efficient and
57:13collaborative way to work.
57:26Today, we'll explore the entire fidelity
57:28spectrum from lowfidelity sketches to
57:31highfidelity prototypes. You'll learn
57:33how to leverage each level to
57:35communicate your ideas effectively,
57:37gather feedback, and iterate on your
57:39designs to create user centric products
57:41that people love.
57:42>> I have this amazing idea for a new
57:44social media app, but I need a way to
57:46turn it into something tangible that I
57:48can share with others.
57:50>> That's where the concept of fidelity
57:52comes in, Matteo. Think of it as a
57:54spectrum, ranging from lowfidelity
57:56sketches to highfidelity prototypes.
57:59Each level serves a unique purpose in
58:01the design process. helping you refine
58:03and communicate your ideas effectively.
58:07Lowfidelity sketches are the starting
58:09point. They're quick, unpolished, often
58:11handdrawn, and focus on capturing the
58:13core ideas and user flows.
58:15>> Sketching helps me visualize my ideas
58:18and explore different possibilities
58:20without getting bogged down in details.
58:22It's like creating a visual brainstorm.
58:25>> Wireframes build upon those sketches,
58:27adding more structure and clarity. They
58:30define the placement of key elements,
58:31navigation, and content hierarchy.
58:34>> Wireframes are like the blueprints of my
58:36app. They provide a clear overview of
58:38the layout and functionality, making it
58:40easier to communicate my ideas to
58:42others.
58:44>> Highfidelity mockups bring your design
58:46to life. They incorporate visual design
58:48elements, creating a realistic
58:49representation of the final product.
58:52>> Okay, so mock-ups are like a sneak peek
58:54into the future. They allow us to see
58:56and feel the app's potential before a
58:58single line of code is written. This
59:00lets us gather crucial feedback from
59:02users and stakeholders, making sure
59:04we're on the right track before
59:06investing significant resources in
59:08development.
59:10>> Exactly. And finally, interactive
59:12prototypes take it a step further,
59:14simulating the app's functionality and
59:16interactions.
59:18>> Gotcha. So prototypes are essential for
59:20user testing. They help us identify any
59:23usability issues and refine the design
59:26before launch, ensuring a smooth and
59:28enjoyable user experience. Remember that
59:31each level of fidelity serves a distinct
59:33purpose from early ideiation and
59:35communication to user testing and final
59:37product development.
59:39By understanding and leveraging the
59:41fidelity spectrum, designers can
59:43effectively translate abstract ideas
59:45into tangible representations, fostering
59:48collaboration and ensuring user- centric
59:50design decisions.
1:00:01In this video, we discuss how navigating
1:00:03the busy world of enterprise software
1:00:05can sometimes feel overwhelming.
1:00:07Wireframes serve as your guide creating
1:00:10clear and intuitive user interfaces.
1:00:13Today we are diving into wireframing
1:00:15fundamentals to understand why they are
1:00:17important in crafting efficient
1:00:18interfaces for software like Microsoft
1:00:21Dynamics 365 or Microsoft Teams. They
1:00:24are essential to shaping effective user
1:00:26experiences.
1:00:28Wireframes act as the blueprints for
1:00:30products like Microsoft SharePoint
1:00:32sites. They're basic sketches focusing
1:00:35on layout and functionality. They help
1:00:37us prioritize user tasks and features
1:00:40instead of visual design. Their
1:00:42simplicity is powerful. Just like when
1:00:44planning a Microsoft Excel dashboard,
1:00:47wireframes allow you to explore layouts,
1:00:49test navigation, and spot issues early.
1:00:52They are about structure and function,
1:00:54not looks. That design polish comes
1:00:56later. A wireframe's fundamental
1:00:59components work together to create
1:01:01intuitive user interfaces similar to
1:01:03Microsoft Outlook. These key elements
1:01:06include layout, which establishes the
1:01:08screen's structure and visual hierarchy.
1:01:11Hierarchy, which directs user focus and
1:01:14helps prioritize tasks, navigation,
1:01:17which outlines the user's path through
1:01:19the software via menus and buttons, and
1:01:21content placement, which strategically
1:01:23positions all information. Wireframes
1:01:26are valuable in the early stages of
1:01:28software design. They are the ground for
1:01:30exploration, allowing you to draft
1:01:32different layout options and assess
1:01:34various approaches to find the solution
1:01:36that works best. Thinking of your
1:01:38wireframe strategy first can refine
1:01:40tools like PowerBI dashboards. You can
1:01:43share these drafts with teams and users,
1:01:45collecting feedback that identifies
1:01:47potential problems and opportunities.
1:01:50Early feedback helps you save time and
1:01:52resources later. Wireframes, especially
1:01:55when working on Microsoft products,
1:01:57accelerate iteration and refinement, and
1:02:00your project aligns with user needs.
1:02:03While effective for planning, remember
1:02:04that wireframes have their limits. They
1:02:07often miss out on visual appeal and
1:02:09emotions which can impact stakeholder
1:02:11acceptance. Complex interactions often
1:02:14require more detailed prototypes later.
1:02:16Yet, these limitations should not
1:02:18overshadow the immense value of
1:02:20wireframes. They remain critical in
1:02:22early design stages, enabling rapid
1:02:24iteration, fostering collaboration, and
1:02:27identifying usability issues, saving
1:02:30time and resources. By combining
1:02:32wireframes with mockups and prototypes,
1:02:35you can achieve great design outcomes.
1:02:38After exploring ideas with wireframes,
1:02:40you add visual elements next. This is
1:02:42where mock-ups and prototypes add color
1:02:44and detail to your Microsoft tools,
1:02:47offering a closer glimpse of the final
1:02:48product. The power of wireframing is in
1:02:51transforming ideas into clear plans,
1:02:54obtaining valuable feedback, and
1:02:56refining designs early. Become
1:02:58proficient in the skill to build user
1:03:00centered software that achieves business
1:03:02goals and delights users. Start drafting
1:03:05your next wireframe with Microsoft tools
1:03:07today. To begin, consider the user's
1:03:10journey. What tasks will they perform?
1:03:12How will they navigate through the
1:03:14application? Sketching these flows helps
1:03:16determine the optimal layout and
1:03:18placement of elements. Think about the
1:03:20information hierarchy. What elements
1:03:22should stand out? Use size, placement,
1:03:25and visual cues to guide the user's
1:03:27attention. Remember, wireframes are not
1:03:30about pixel perfect design. They are
1:03:32about structure and function. Focus on
1:03:35the core elements and their
1:03:36relationships. Use simple shapes and
1:03:38lines to represent content and
1:03:41interactive elements. Avoid clutter and
1:03:43unnecessary details. Collaboration is
1:03:46key. Share your wireframes with your
1:03:48team and stakeholders. Gather feedback
1:03:50early and iterate based on their input.
1:03:53This iterative process allows you to
1:03:55refine your design and identify
1:03:56potential usability issues before
1:03:59investing significant time and resources
1:04:01into development. Tools like Microsoft
1:04:04Vizio or even simple pen and paper can
1:04:06be used to create effective wireframes.
1:04:09Choose the tools that best suit your
1:04:11needs and workflow. The goal is to
1:04:13communicate your design ideas clearly
1:04:15and efficiently.
1:04:17As you progress, consider creating
1:04:20multiple wireframe variations. This
1:04:22allows you to explore different layout
1:04:24options and choose the one that best
1:04:26meets the user's needs. Remember that
1:04:28flexibility and adaptability are
1:04:30important in the wireframing process.
1:04:33Embrace feedback and be willing to
1:04:35adjust your design as needed.
1:04:37Ultimately, effective wireframing lays
1:04:39the foundation for a successful and
1:04:41user-friendly software product.
1:04:47Imagine
1:04:54stepping into a room that's empty. Gray
1:04:56walls, bare floors, no furniture or
1:04:59decorations. It's functional but lacks
1:05:01personality and warmth. Now picture that
1:05:04same room transformed with vibrant
1:05:06colors, stylish furniture, and
1:05:08captivating artwork. That's the power of
1:05:11visual design. It can breathe life into
1:05:13a space, evoke emotions, and create a
1:05:16lasting impression. In the world of VX
1:05:18UI design, it's the same principle. We
1:05:21start with a basic wireframe, the
1:05:23barebones of our product.
1:05:25>> This wireframe lays out the
1:05:26functionality of my app perfectly, but
1:05:29it feels a bit sterile. How can I make
1:05:31it engaging and memorable for users?
1:05:34>> That's where visual design comes in.
1:05:36This is where you can bring your
1:05:37product's brand to life. By infusing
1:05:39your wireframe with thoughtfully chosen
1:05:41colors, typography, and imagery, you
1:05:44create a captivating experience that
1:05:46reinforces your brand's marketing and
1:05:48messaging while connecting with users.
1:05:51Color is like a powerful language,
1:05:53speaking directly to our emotions and
1:05:54influencing our perceptions. It can set
1:05:57the mood, create an atmosphere, and
1:05:59guide the user's attention. Think of a
1:06:01calming blue for a meditation app,
1:06:03evoking tranquility and focus. Or a
1:06:05vibrant orange for a food delivery
1:06:07service, stimulating appetite and
1:06:09energy. Even subtle shifts in hue or
1:06:12saturation can make a big difference in
1:06:14how users perceive your product.
1:06:16>> Color adds so much personality. It
1:06:18really enhances the overall feel and
1:06:20makes the app more engaging.
1:06:22>> Next, let's explore the power of
1:06:23typography. Fonts are more than just
1:06:26letters. They convey a brand's voice and
1:06:28personality. A playful script for a
1:06:30children's app, a bold sand serif for a
1:06:33tech startup, or a classic serif for a
1:06:35luxury brand. Typography enhances
1:06:38readability and reinforces your brand
1:06:40identity.
1:06:40>> Typography is incredibly powerful. It
1:06:43can completely change the feel of the
1:06:44app, conveying a specific tone and
1:06:47personality.
1:06:48>> Finally, let's add the finishing
1:06:50touches, imagery. Images tell stories,
1:06:52evoke emotions, and create memorable
1:06:54experiences.
1:06:56Choose images that resonate with your
1:06:58target audience and reinforce your
1:06:59brand's message.
1:07:00>> Wow, it's amazing how visual design can
1:07:03transform a simple wireframe into a
1:07:05captivating experience. I can't wait to
1:07:08see how users react.
1:07:16Let's say you are a product manager at a
1:07:18large enterprise software company. Your
1:07:21team has just completed the initial
1:07:22design phase for a new customer
1:07:24relationship management or CRM feature.
1:07:27You need to present a detailed visual
1:07:29representation of the user interface to
1:07:31stakeholders, including the design team,
1:07:34marketing, and sales before moving into
1:07:37development. This visual representation
1:07:39needs to accurately reflect the user
1:07:41experience, brand guidelines, and
1:07:43interactive elements. In this video, we
1:07:46will cover how to use Figma to create
1:07:48highfidelity mockups. These mock-ups
1:07:51will incorporate visual design elements,
1:07:53branding guidelines, and interactive
1:07:55components. This process allows you to
1:07:57effectively communicate your design
1:07:59vision to stakeholders, ensuring
1:08:01everyone is aligned before development
1:08:03begins. We will focus on creating
1:08:05detailed mockups that accurately
1:08:07represent the final user interface,
1:08:09including how to integrate brand colors,
1:08:12typography, and interactive features.
1:08:15Let's begin by creating a new design
1:08:16file in Figma. Click the new design file
1:08:19button. This will open a blank canvas.
1:08:22Now we have a blank canvas. Add a frame.
1:08:26Frames in Figma represent the screens or
1:08:28artboards of your application, defining
1:08:30boundaries and organizing content. Click
1:08:32the frame tool, then select desktop from
1:08:35the frame size options. This will create
1:08:37a desktop sized frame for our CRM
1:08:40feature. We will start with the main
1:08:42dashboard screen. Add a header. Use the
1:08:45rectangle tool to draw a rectangle at
1:08:47the top. Set the dimensions to 1,440
1:08:51pixels wide by 80 pixels high. Before
1:08:54applying colors and fonts, let's discuss
1:08:56brand guidelines. These rules define a
1:08:59company's visual presentation, ensuring
1:09:01consistency across products. We'll use
1:09:03these guidelines to style our mockup.
1:09:06Change the header color to match our
1:09:08company's brand guidelines. Use the fill
1:09:10option and select the primary brand
1:09:12color. For example, 00078D4.
1:09:17Add the application title to the header
1:09:19using the text tool. Type enterprise CRM
1:09:23dashboard. Adjust the font to Sego UI
1:09:27size to 24 pixels and color to white.
1:09:30Add navigation buttons to the header.
1:09:33These buttons will allow users to
1:09:35quickly access different sections of the
1:09:37CRM. Use the rectangle tool to create
1:09:40button shapes 80 pixels wide by 40
1:09:42pixels high with a 5 pixel corner
1:09:45radius. Add text labels, contacts,
1:09:48accounts, and reports. We want to
1:09:51simulate the user's journey within the
1:09:53CRM by using interactive elements.
1:09:55Select the prototype tab. This allows us
1:09:58to define interactions between elements
1:10:00and frames. Link the contacts button to
1:10:03a new frame, demonstrating how a user
1:10:05accesses the contacts list. Create
1:10:08another frame for the contacts list
1:10:10screen. To save time and maintain
1:10:12consistency, we will duplicate the
1:10:13dashboard frame. Select the dashboard
1:10:16frame, then press control D or command D
1:10:18on Mac. This creates a copy of the
1:10:20frame. Modify the title to contacts
1:10:23list. Use rectangle and text tools to
1:10:26create a vertical list of contacts
1:10:29including name and company. Now, let's
1:10:31enhance the visual design of the
1:10:33contacts list by adding visual cues to
1:10:35indicate interactive elements. For
1:10:38example, change the cursor to a pointer
1:10:40when hovering over a contact item.
1:10:43Select a contact item. Go to prototype
1:10:45and add a mouse enter interaction. Add
1:10:49visual hierarchy by using different font
1:10:51weights and sizes. Make contact names
1:10:54bold and slightly larger than company
1:10:56names. Add visual separators for
1:10:58readability. Use light gray lines to
1:11:01divide contact items. Draw lines with
1:11:04the line tool and adjust color and
1:11:05thickness. Apply consistent spacing and
1:11:08alignment using distribute horizontal
1:11:11vertical spacing and alignment tools.
1:11:14Preview the interaction. Click the
1:11:16present button. Test the interactions
1:11:19and ensure the visual design enhances
1:11:21the user experience. In summary,
1:11:24highfidelity mockups are vital for
1:11:26visualizing designs and ensuring
1:11:28stakeholder alignment. Tools like Figma
1:11:31enable efficient creation and
1:11:33collaboration. By adhering to brand
1:11:35guidelines and focusing on user
1:11:37experience, we can create impactful
1:11:39mock-ups.
1:11:50Imagine a world where your enterprise
1:11:52software looks and feels the same no
1:11:54matter what application you're using.
1:11:56It's seamless and unified just like
1:11:59Microsoft's suite of products. This
1:12:01consistency is achieved through a tool
1:12:03called a design system. In this video,
1:12:06we're exploring why design systems
1:12:08matter in the enterprise world and how
1:12:10they can supercharge your product
1:12:11development efforts. A design system is
1:12:14like a library that includes reusable
1:12:16components, guidelines, and principles
1:12:18directing a product's design and
1:12:20development. It serves as a single
1:12:22source of truth for your products look
1:12:24and user experience. Think about how
1:12:27Microsoft Office maintains a seamless
1:12:29look across Word, Excel, and PowerPoint.
1:12:32These principles apply here as well.
1:12:35Design systems go beyond organizing your
1:12:37design elements. They bring concrete
1:12:39benefits to product development. First,
1:12:42let's talk about consistency.
1:12:45Uniformity across your software helps
1:12:47build brand recognition and makes it
1:12:49easier for users to understand and use
1:12:51the interface. Microsoft products, for
1:12:53example, share similar interfaces,
1:12:56ensuring a cohesive user experience.
1:12:59Efficiency is also a major advantage.
1:13:01With pre-esigned components and
1:13:03guidelines, your team can save time by
1:13:05reusing existing elements. There's no
1:13:07need to start from scratch each time you
1:13:09build a new feature. Similar to how each
1:13:12new Microsoft app isn't built entirely
1:13:14from zero, design systems also enhance
1:13:17collaboration. By establishing a shared
1:13:20language between designers and
1:13:21developers, you can reduce
1:13:23miscommunications and speed up the
1:13:25implementation process. Everyone's
1:13:28speaking the same language, just like
1:13:29when different Microsoft product teams
1:13:31coordinate to ensure product
1:13:32integration. Scalability is key as well.
1:13:36A design system provides a structure
1:13:38that keeps your software consistent and
1:13:40easy to update as it evolves. It's why
1:13:42large enterprises can grow their suite
1:13:44of applications without losing
1:13:45consistency. What's in a design system?
1:13:49Typically, it includes design principles
1:13:51that guide decisions, a style guide that
1:13:53defines visual aspects, a component
1:13:55library of UI elements, and a pattern
1:13:58library for common interface challenges.
1:14:00Design principles serve as guiding
1:14:02lights for your design philosophy. A
1:14:05style guide defines the visual elements
1:14:07of your product like colors, typography,
1:14:09and spacing, ensuring every facet of
1:14:12your software looks and feels uniform. A
1:14:14component library includes reusable UI
1:14:17elements like buttons and forms. Think
1:14:19of the buttons that look consistent
1:14:20across different Microsoft applications.
1:14:23The pattern library addresses common
1:14:25user interface challenges like how
1:14:27messages are displayed. Comprehensive
1:14:29documentation explains how to use these
1:14:32elements effectively, helping both new
1:14:34and experienced team members. Detailed
1:14:37guidelines ensure everyone follows the
1:14:39design principles, making the system
1:14:41easy to implement. With these components
1:14:44in place, design systems streamline the
1:14:46creation of mock-ups by providing
1:14:48ready-made elements. This saves design
1:14:51time and effort, allowing you to focus
1:14:53on the arrangement rather than inventing
1:14:55new components each time. Instead of
1:14:57beginning from scratch, designers
1:14:59assemble mockups using these available
1:15:01elements, reducing time and effort.
1:15:04Components in a design system are
1:15:06pre-ested, allowing designers to
1:15:08concentrate on optimal arrangement
1:15:10rather than design testing from scratch.
1:15:14The core advantage of a design system is
1:15:16its role in ensuring consistency across
1:15:19product designs. Using shared
1:15:21components, designers maintain a unified
1:15:24user experience. This consistency
1:15:26enhances product appeal and usability.
1:15:29Users become familiar with elements and
1:15:31patterns, enabling quicker interaction
1:15:34with features. Beyond user benefits,
1:15:36design systems improve team
1:15:37collaboration. They bridge communication
1:15:40barriers, offering a common language.
1:15:42This speeds up handoff and guarantees
1:15:44the product aligns with the original
1:15:46design intent. Developers use the
1:15:48documentation and component library to
1:15:51implement designs precisely. This
1:15:53reduces communication delays and speeds
1:15:55up development cycles leading to a more
1:15:58user-friendly product.
1:16:00Design systems are essential tools in
1:16:03product development. They boost
1:16:04consistency, efficiency, and
1:16:06collaboration leading to superior
1:16:08products and happier users. As a product
1:16:11manager, advocating for design systems
1:16:13can greatly enhance your team's
1:16:15productivity and product quality.
1:16:17Investing in a design system means your
1:16:19product will look cohesive, be scalable,
1:16:21and focus on user needs, ensuring a top
1:16:24tier experience. This conveys the
1:16:26importance of design systems in a
1:16:28professional, easily accessible manner.
1:16:30It addresses the objectives and gives a
1:16:33clear understanding of why these systems
1:16:35are valuable in a job context.
1:16:47In this video, we explore the selection
1:16:49of wireframing and mockup tools,
1:16:52particularly for the development of
1:16:53enterprise software or B2B solutions.
1:16:56The appropriate tool significantly
1:16:58influences design workflow, team
1:17:00collaboration, and project outcomes. We
1:17:03will examine various options tailored to
1:17:05diverse needs and explain why the choice
1:17:07matters. A suitable tool transforms the
1:17:10design process. Tools designed for B2B
1:17:13such as Microsoft Visio provide robust
1:17:16features for diagramming and wireframing
1:17:18complex enterprise flows. They
1:17:20facilitate visualization in projects
1:17:22like CRM setups or internet portals
1:17:25where detail and clarity are essential.
1:17:28When selecting a tool, consider its
1:17:30alignment with your workflow and
1:17:31collaboration requirements.
1:17:34Let us examine some notable tools,
1:17:36beginning with Figma. It is recognized
1:17:39for cloud-based collaboration, ideal for
1:17:41geographically dispersed teams working
1:17:43on enterprise level solutions.
1:17:46Consider instances where immediate
1:17:48feedback is necessary. Figma's realtime
1:17:51capability allows transparency and rapid
1:17:53updates. Sketch with its symbol
1:17:55libraries and vector-based design suits
1:17:58detailed mockups often required in B2B.
1:18:01Large enterprises benefit from its
1:18:03scalability and precision. However, it
1:18:06operates exclusively on Mac OS, which
1:18:08may limit teams using varied operating
1:18:10systems. Acture RP excels at prototyping
1:18:14intricate enterprise level interactions.
1:18:17Its capabilities mirror complex user
1:18:19journeys and technical workflows vital
1:18:22for complex software systems. While its
1:18:24advanced tools may present a learning
1:18:26curve, they are valuable for detailed
1:18:28interactive designs. Marvel
1:18:30distinguishes itself through simplicity,
1:18:33ideal for rapid prototyping and early
1:18:35stage feedback, thereby reducing time to
1:18:37market for B2B applications. Although it
1:18:40is not suitable for complex projects,
1:18:42its user-friendly nature is advantageous
1:18:44for straightforward interactions or
1:18:46initial design phases. Balsamic offers a
1:18:50distinctive low-fidelity style to
1:18:52capture ideas quickly. for initial
1:18:54brainstorming in enterprise
1:18:56environments. It promotes a focus on
1:18:58functionality rather than aesthetics. It
1:19:00is suitable for wireframe ccentric
1:19:02projects and supports rapid iterations
1:19:05without excessive detail. Contemplate
1:19:07these points as you evaluate tools.
1:19:09Understanding how tools integrate into
1:19:11your strategy and daily tasks is vital
1:19:13for delivering excellent user
1:19:15experiences.
1:19:17The optimal tool enables your team to
1:19:19achieve its objectives effectively.
1:19:23Furthermore, explore the specific
1:19:25integration capabilities of each tool.
1:19:28Does it seamlessly connect with your
1:19:30existing project management software,
1:19:32version control systems, or other
1:19:34development tools? This integration can
1:19:37significantly streamline your workflow,
1:19:39reducing the need for manual data
1:19:41transfer, and minimizing errors.
1:19:43Consider the scalability of the tool. As
1:19:46your projects grow in complexity and
1:19:48your team expands, will the tool
1:19:50continue to meet your needs? Some tools
1:19:52offer enterprise level features and
1:19:54support while others are better suited
1:19:56for smaller teams or less complex
1:19:58projects. Evaluate the tools ability to
1:20:01handle large-scale projects and
1:20:02accommodate future growth. Another
1:20:05important factor is the availability of
1:20:07resources and support. Does the tool
1:20:10offer comprehensive documentation,
1:20:12tutorials, and community forums? A
1:20:14robust support system can be invaluable
1:20:16when encountering technical challenges
1:20:18or needing to learn new features.
1:20:21Additionally, consider the frequency of
1:20:23updates and the responsiveness of the
1:20:25development team to user feedback.
1:20:27Accessibility is also a key
1:20:29consideration. Is the tool accessible to
1:20:32all team members regardless of their
1:20:34technical expertise? A user-friendly
1:20:36interface and intuitive features can
1:20:38minimize the learning curve and promote
1:20:40wider adoption within your team.
1:20:42Furthermore, consider the tools
1:20:44compatibility with different operating
1:20:46systems and devices, ensuring that all
1:20:49team members can access and use it
1:20:51effectively.
1:20:53Finally, remember that the best tool is
1:20:55the one that aligns with your team's
1:20:57specific needs and project requirements.
1:21:00Do not hesitate to conduct thorough
1:21:02trials and gather feedback from your
1:21:04team before making a final decision.
1:21:07This process will help you identify the
1:21:09tool that empowers your team to deliver
1:21:11exceptional results.
1:21:20Ever wondered how designers create
1:21:22clear, functional interfaces for complex
1:21:24business software?
1:21:26Enterprise applications often juggle
1:21:28large amounts of data and intricate
1:21:30workflows. Tools like Figma are
1:21:33essential for bringing order to this
1:21:34complexity. This video focuses
1:21:37specifically on that challenge. By the
1:21:39end of this video, you will be able to
1:21:41use Figma to create fundamental
1:21:43wireframes and mockups for enterprise
1:21:45software interfaces. We will demonstrate
1:21:47building essential elements like
1:21:49navigation menus, data grids, and
1:21:51interactive dashboard components. Start
1:21:54by opening Figma and create a new design
1:21:57file. Name the file enterprise dashboard
1:22:00wireframe by clicking the default
1:22:02untitled title at the top left. The
1:22:05central canvas is for designing. The
1:22:07layers panel is on the left. Properties
1:22:10panel on the right and the toolbar is at
1:22:12the bottom. Select the frame tool hash
1:22:15symbol from the toolbar. In the
1:22:17properties panel, choose a desktop
1:22:19preset like 1440x 1024 pixels. This
1:22:23frame holds our screen design. Let's
1:22:26build navigation.
1:22:28Select the rectangle tool, square icon,
1:22:31and draw a bar across the top of the
1:22:33frame for top navigation. Select the
1:22:35text tool, T. Click on the bar and type
1:22:39dashboard. Create more labels like
1:22:42reports and settings horizontally.
1:22:45Select the top bar rectangle and text
1:22:46labels. Group them controll + G or
1:22:50command plus G. Rename the group top
1:22:53navigation in the layers panel. For the
1:22:55side navigation, draw a vertical
1:22:57rectangle on the left side using the
1:22:59rectangle tool. Use the text tool to add
1:23:02vertical labels inside like overview,
1:23:05user management, and system
1:23:07configuration.
1:23:08Group the side navigation rectangle and
1:23:10text labels. Rename the group side
1:23:13navigation.
1:23:14Now, let's apply auto layout to the side
1:23:17navigation text for easier management.
1:23:20Select only the vertical text labels
1:23:22within the side navigation group. In the
1:23:24properties panel, click the plus sign
1:23:26next to auto layout. Figma arranges the
1:23:29items automatically. Adjust spacing
1:23:32between items using the auto layout
1:23:34controls in the properties panel. Items
1:23:36will automatically reposition if
1:23:38reordered in the layers panel or if new
1:23:40items are added. Next, the main content
1:23:43area. Let's create a data grid. Use the
1:23:47rectangle tool to draw a header bar for
1:23:49column titles. Use the text tool to add
1:23:52column headers like ID, name, status,
1:23:56date created. Below the header, create
1:23:59the first data row using the text tool
1:24:01with placeholder data like 1001
1:24:04example user active 2025-04-29.
1:24:11Group all elements of this first row.
1:24:14Name the group data row example. Let's
1:24:17turn this row into a reusable component.
1:24:20Select the data row example group. Click
1:24:23the create component icon for diamonds
1:24:26in the top toolbar. The group becomes a
1:24:28main component which is indicated by the
1:24:30purple outline and diamond icon. Rename
1:24:33it data grid/ row in the layers panel.
1:24:37Now create instances of this component
1:24:39to build the grid. Drag the data grid
1:24:42row from the assets panel next to layers
1:24:44or alt option drag the main component.
1:24:48Arrange several instances vertically.
1:24:50Notice changes to the main component.
1:24:52Update all instances. Let's add an icon
1:24:55placeholder to the main component.
1:24:57Inside the main component, use the shape
1:24:59tools to draw a simple placeholder icon
1:25:02like three dots on the right end. See
1:25:05how the icon appears instantly in all
1:25:07instance rows.
1:25:09This ensures consistency and speeds up
1:25:11changes.
1:25:13Text and instances can be overridden
1:25:15individually.
1:25:17Components and auto layout are key for
1:25:18efficiency and consistency in complex
1:25:21enterprise designs. Now let's add
1:25:23dashboard elements. Use the rectangle
1:25:26tool to draw cards. Add rounded corners
1:25:28using the corner radius setting in the
1:25:30properties panel. Arrange a few cards in
1:25:33the content area. Add titles like active
1:25:35users and revenue YTD using the text
1:25:38tool. Represent charts in these
1:25:41wireframe cards using simple shapes. Use
1:25:44the pen or line tool for a basic line
1:25:46graph shape. Use small rectangles for a
1:25:49bar chart representation.
1:25:51This low-fidelity approach indicates
1:25:53where charts will go without needing
1:25:55final details yet. Now, a quick look at
1:25:58transitioning to a mockup by adding
1:26:00basic visual style. This makes the
1:26:02design look closer to the final product.
1:26:05Select the top navigation bar. In the
1:26:08properties panel under fill, choose a
1:26:10color like blue. Select a text element
1:26:13like a header. In the text section of
1:26:15the properties panel, change the font or
1:26:17weight. Apply a background fill color to
1:26:20one of the dashboard cards. This
1:26:22demonstrates adding visual fidelity. The
1:26:25process involves applying colors,
1:26:27typography, icons based on the design
1:26:29system or brand guidelines.
1:26:32In this demonstration, we walked through
1:26:34using Figma to construct wireframes and
1:26:36begin mockups for typical enterprise
1:26:38software interfaces.
1:26:40You saw how to build essential
1:26:42components like navigation menus,
1:26:44structured data grids, and informative
1:26:46dashboard cards. Applying features like
1:26:48auto layout and components helps ensure
1:26:51these designs are not only clear and
1:26:53consistent, but also much easier to
1:26:55update and manage as the application
1:26:57evolves.
1:27:08We've all been there, haven't we?
1:27:11Frustrated, confused, even a little
1:27:13angry while using a product that doesn't
1:27:15seem to get us. It's like they designed
1:27:17it for someone else entirely. These
1:27:20frustrating experiences happen when
1:27:21products are designed without the user
1:27:23in mind.
1:27:24Now instead, imagine a world where every
1:27:26product you interact with feels
1:27:28intuitive, enjoyable, and tailored to
1:27:30your needs. That's where the product
1:27:32manager comes in.
1:27:33>> My job is to be the voice of the user.
1:27:36It all starts with empathy and truly
1:27:39understanding their needs.
1:27:40>> How do you do that?
1:27:42>> We start by creating user stories. Think
1:27:45of them as little stories. Each one
1:27:47capturing a specific goal a user wants
1:27:50to achieve with our product. So, it's
1:27:52like putting yourself in their shoes.
1:27:54>> Exactly. We ask what are their pain
1:27:57points? What tasks do they find
1:28:00frustrating? What would make their lives
1:28:02easier? These user stories help us build
1:28:05a product that truly solves their
1:28:08problems.
1:28:09>> That makes sense. But how do you know if
1:28:11your ideas are actually working?
1:28:12>> That's where the real fun begins.
1:28:15Product testing. We put our ideas in
1:28:18front of real users and see how they
1:28:20react.
1:28:21>> So, it's like a test drive for your
1:28:23product.
1:28:24>> You got it. We observe them using the
1:28:26product, listen to their feedback, and
1:28:29even track their interactions with heat
1:28:31maps. It's like getting a sneak peek
1:28:33into their minds.
1:28:35>> And what do you do with all that
1:28:36feedback?
1:28:37>> We analyze it carefully, looking for
1:28:40patterns and insights. It helps us
1:28:42identify areas where we can improve, add
1:28:45new features, or even rethink our entire
1:28:48approach.
1:28:49>> It's an iterative process, constantly
1:28:51refining and improving based on what we
1:28:53learn from our users. But in the end,
1:28:56it's all worth it when we see people
1:28:58enjoying and benefiting from the product
1:28:59we've created.
1:29:00>> By harnessing the power of user stories
1:29:03and product testing, product managers
1:29:05create user centric products that stand
1:29:08out in the crowded marketplace. Let's
1:29:10embark on this journey together and
1:29:12unlock the true potential of user
1:29:15centric design.
1:29:26In complex software development,
1:29:28tracking numerous tasks can be
1:29:30overwhelming. Epics and themes provide a
1:29:33structured way to manage this
1:29:35complexity. In this video, we explore
1:29:38the evolving landscape of enterprise
1:29:39software where clarity and communication
1:29:42are vital. We will uncover why
1:29:45organizing tasks into epics and themes
1:29:47can revolutionize project management
1:29:49efforts.
1:29:51Imagine a project as a pyramid. At the
1:29:54top, themes establish broad goals that
1:29:56guide product development. In enterprise
1:29:59software, a theme such as improve
1:30:01integration with external systems
1:30:04represents an overarching objective that
1:30:06aligns with strategic goals. Supporting
1:30:08each theme are epics, the levels of the
1:30:11pyramid. They create actionable pathways
1:30:14to achieve these themes. For instance,
1:30:17under improve integration, an epic might
1:30:19be enhance Microsoft Teams connectivity,
1:30:23outlining tasks that foster seamless
1:30:25integration with digital collaboration
1:30:27tools.
1:30:28At the pyramid's base, user stories
1:30:31reside. These specific tasks contribute
1:30:34to the epics and themes above. Each user
1:30:37story like as a user, I want to enable
1:30:40single sign on for teams so that I can
1:30:42access teams securely and efficiently
1:30:45using my existing credentials or as a
1:30:48user I want to support data sync with
1:30:50one drive so that my files are
1:30:52automatically updated and accessible
1:30:55across different platforms.
1:30:57directly supporting broader epics and
1:30:59overarching themes. These well-defined
1:31:01user stories ensure that development
1:31:03efforts remain grounded in delivering
1:31:05tangible real world functionality to the
1:31:08end user.
1:31:10This structure provides more than
1:31:12organization. It offers a strategic
1:31:14advantage. It visualizes how broad goals
1:31:17break down into actionable tasks. This
1:31:20focuses efforts on impactful features,
1:31:22promoting alignment with business
1:31:24objectives and user needs, preventing
1:31:26wasted effort, and keeping the project
1:31:28on track. Creating an effective
1:31:31hierarchy involves several factors.
1:31:33Alignment with product strategy demands
1:31:36that epics and themes must align with
1:31:38strategic goals. User centricity directs
1:31:41that decisions should be based on actual
1:31:43user needs and challenges, addressing
1:31:46real world issues. Flexibility requires
1:31:49that as projects evolve, the hierarchy
1:31:52must adapt to reflect new insights.
1:31:55Collaboration involves stakeholders from
1:31:57various teams to promote shared
1:31:59understanding and alignment.
1:32:01Aim for clarity and simplicity in the
1:32:04structure. Keep epics and themes
1:32:06concise, avoiding complexity that
1:32:08obscures decision-making.
1:32:10Project goals evolve, so regularly
1:32:13review and update themes and epics to
1:32:15reflect current priorities and user
1:32:17insights. Consider this in an enterprise
1:32:21context. Improving integration can
1:32:23involve stories like enable support for
1:32:25SharePoint libraries or enhance user
1:32:28permissions management. These user
1:32:30stories detail tasks that support the
1:32:32goal of seamless external system
1:32:34integration. Organizing stories within
1:32:37epics and themes offers strategic
1:32:40clarity, making large projects
1:32:42manageable and transparent.
1:32:44Remember that flexibility is essential.
1:32:47The project landscape evolves with new
1:32:50information and user feedback. Regularly
1:32:52adapt epics and themes to support the
1:32:55project development process and maximize
1:32:57user value. By doing so, efforts remain
1:33:00aligned with strategic goals and current
1:33:03market dynamics. The discussed structure
1:33:06utilizes Microsoft examples and conveys
1:33:09the necessity and usefulness of
1:33:11understanding epics and themes for
1:33:13project management in enterprise
1:33:14software. Implementing this framework
1:33:17allows teams to maintain a clear vision
1:33:19of their objectives even when faced with
1:33:22complex projects. It promotes a culture
1:33:24of transparency where all stakeholders
1:33:27understand how their contributions align
1:33:29with the larger strategic goals.
1:33:32This approach also promotes efficient
1:33:34allocation of resources. As teams can
1:33:37prioritize tasks that directly
1:33:39contribute to the defined epics and
1:33:41themes by focusing on user stories that
1:33:44support these higher level objectives,
1:33:46development teams can deliver features
1:33:48that truly meet user needs and drive
1:33:50business value. Furthermore, this
1:33:53structured method facilitates better
1:33:55communication and collaboration across
1:33:57different departments, ensuring that
1:33:59everyone is working towards a common
1:34:01goal. This results in a more cohesive
1:34:04and effective project execution,
1:34:06ultimately leading to successful product
1:34:08delivery. This methodology encourages a
1:34:11proactive approach, allowing teams to
1:34:14anticipate and address potential
1:34:15roadblocks early in the development
1:34:17cycle, thereby streamlining the overall
1:34:20project timeline. It also supports
1:34:22continuous improvement, facilitating
1:34:24iterative development and feedback
1:34:26loops. It enhances adaptability and
1:34:29responsiveness to market changes.
1:34:41Creating user-friendly products requires
1:34:44a deep understanding of user needs and
1:34:46behaviors and usability testing is a
1:34:48reliable method for achieving this
1:34:50understanding. By the end of this video,
1:34:53you'll be able to introduce the
1:34:55fundamentals of usability testing,
1:34:57explaining its purpose, benefits, and
1:34:59key steps involved in conducting
1:35:01effective usability tests. Let's explore
1:35:04what usability testing involves.
1:35:07Usability testing is like a proving
1:35:09ground for your software. Imagine
1:35:11watching users interact with Microsoft
1:35:13Office 365. You observe real users
1:35:17navigating cloud-based applications,
1:35:19identifying points of confusion and
1:35:21noting how efficiently they complete
1:35:23tasks, ensuring ease of use and
1:35:25efficiency of your product. Usability
1:35:28testing helps unveil usability issues,
1:35:31improve user experiences, and refine
1:35:33your products before they hit the
1:35:35market. Investing in usability testing
1:35:38early in the development cycle can
1:35:40significantly reduce costly rework later
1:35:42on. Skipping usability testing can lead
1:35:45to increased support costs and negative
1:35:47user feedback. Consider a scenario where
1:35:50you're developing a CRM tool that
1:35:52integrates with Microsoft Teams. Before
1:35:55launching, you conduct usability tests
1:35:57to observe potential customers using
1:35:59your CRM's features to track leads and
1:36:02collaborate. You might notice users
1:36:04struggling with certain navigation paths
1:36:06or integration features. These insights
1:36:09are vital for streamlining the user
1:36:11experience and ensuring success. As
1:36:14these examples show, usability testing
1:36:17is essential. Imagine buying software
1:36:19without trying at first. Skipping
1:36:22testing is like releasing a product
1:36:24without knowing if users can easily
1:36:26navigate it. Usability testing is
1:36:28distinct from functional testing, which
1:36:31focuses on whether features work
1:36:32correctly. Instead, usability testing
1:36:36focuses on how easily and effectively
1:36:38users can use those features to achieve
1:36:41their goals. Ultimately, ensuring the
1:36:43design meets user needs, preventing
1:36:46costly errors, and improving user
1:36:48satisfaction. Beyond simply identifying
1:36:50areas for improvement, usability testing
1:36:53offers strategic benefits. It can act as
1:36:56an early warning system, catching
1:36:58potential issues while they're
1:36:59manageable and cost-effective to
1:37:01resolve. Think of it as essential
1:37:04maintenance for your product. It also
1:37:06gives you direct insights into user
1:37:08preferences and behaviors, ensuring your
1:37:10product is aligned with real needs. Gain
1:37:13invaluable insights into user behaviors
1:37:15and preferences, empowering you to make
1:37:18decisions that resonate with users.
1:37:20Usability testing challenges your
1:37:22assumptions, ensuring your products meet
1:37:25genuine needs instead of what you
1:37:26presume users want. Ultimately, it leads
1:37:30to happier users and a higher chance of
1:37:32success.
1:37:34Understanding user pain points firsthand
1:37:36allows for more empathetic and effective
1:37:38design solutions. Now let's discuss how
1:37:42to conduct effective usability tests. As
1:37:45a first step, define your objectives.
1:37:48Are you focusing on specific features of
1:37:50your application or seeking overall user
1:37:53experience feedback? Clear objectives
1:37:56guide your test design and ensure you
1:37:58gather the right data to make impactful
1:38:00decisions. Start by creating a clear
1:38:03test plan or protocol that outlines the
1:38:05objectives, tasks, and data to be
1:38:08collected.
1:38:09Recruit representative users matching
1:38:11your target audience's demographics and
1:38:14familiarity with similar products. For
1:38:16instance, if developing business
1:38:18productivity software, ensure testers
1:38:21are professionals using such tools
1:38:23regularly. Recruiting the right users
1:38:26yields meaningful insights. Develop
1:38:29realistic tasks reflecting real world
1:38:31scenarios. If testing a new feature in
1:38:34Microsoft Excel, ensure tasks reflect
1:38:37everyday spreadsheet use. Avoid complex
1:38:40tasks that confuse participants,
1:38:42focusing on clarity and relevance. It's
1:38:45a good practice to pilot test the tasks
1:38:47with a small group to ensure they are
1:38:49clear and effective. During testing,
1:38:52observe and collect data from users as
1:38:54they complete tasks. Record their
1:38:56interactions and note any points of
1:38:58confusion or difficulty. Analyze results
1:39:01to identify trends and improvement
1:39:03areas. Track metrics such as task
1:39:06completion rate, time on task, and error
1:39:08rate to quantify usability.
1:39:11Identify areas for improvement based on
1:39:13their impact on the user experience.
1:39:16Usability testing is iterative. Multiple
1:39:19rounds refining the product with user
1:39:21feedback lead to a user centric design.
1:39:24Prioritize and implement feedback in
1:39:26stages for a polished final product.
1:39:29This invaluable tool provides direct
1:39:31user insights and highlights improvement
1:39:34areas crucial for developing successful
1:39:37user-friendly products that succeed in
1:39:39the marketplace.
1:39:51Ever felt overwhelmed by the sheer
1:39:53volume of user feedback and test data?
1:39:56Sifting through countless comments can
1:39:58feel overwhelming. But what if I told
1:40:00you hidden within that chaos lies a
1:40:02treasure trove of insights waiting to be
1:40:05discovered? Welcome to From Feedback to
1:40:07Insights. Today we'll transform you into
1:40:10a master prospector equipped to sift
1:40:13through the noise and unearth the golden
1:40:15nuggets that will elevate your product
1:40:17to new heights. Meet Ravi, a product
1:40:20manager facing the daunting task of
1:40:22sifting through mountains of feedback
1:40:24after a recent product launch.
1:40:27>> So many comments, so many suggestions.
1:40:30How am I supposed to make sense of all
1:40:31this?
1:40:32>> Ravi's challenge resonates with many.
1:40:34Analyzing user feedback can feel
1:40:36overwhelming, especially after a major
1:40:39release. But with the right approach, it
1:40:41becomes a rewarding treasure hunt. Just
1:40:44like panning for gold, analyzing data
1:40:46requires patience and persistence.
1:40:48You'll need to carefully examine each
1:40:50piece of feedback, separating the
1:40:52valuable nuggets from the noise.
1:40:55>> Okay, I'm starting to see a pattern
1:40:57here.
1:40:57>> Look for patterns and trends in the
1:40:59feedback. Are multiple users reporting
1:41:01the same issue? Is there a feature
1:41:04request that keeps popping up? These are
1:41:06your golden nuggets, signaling areas
1:41:09where your product can be improved.
1:41:11Looks like the onboarding process is a
1:41:13bit confusing. We need to streamline
1:41:15that. Several users mentioned feeling
1:41:17lost when they first started using the
1:41:19product.
1:41:20>> But don't just focus on the negative
1:41:22positive feedback and is equally
1:41:24valuable. It highlights what users love
1:41:26about your product, guiding you to
1:41:28double down on those strengths.
1:41:30>> And people really seem to love the new
1:41:32dark mode. The test results show
1:41:34increased engagement, too. That's great
1:41:36to hear. Remember, every piece of
1:41:38feedback, whether positive or negative,
1:41:41is an opportunity to learn and grow.
1:41:43It's a direct line to your users,
1:41:45offering insights into their needs,
1:41:47expectations, and experiences. Based on
1:41:50feedback, we're revamping onboarding,
1:41:52adding tool tips and tutorials, and
1:41:55enhancing dark mode based on user
1:41:57feedback.
1:41:58>> So, are you ready to turn feedback into
1:42:01your gold mine? Remember, the most
1:42:03valuable insights are often hidden
1:42:05beneath the surface. It's time to start
1:42:08digging.
1:42:16Welcome to this tutorial on designing AB
1:42:18tests and analyzing their results for a
1:42:20SAS product. Today, I'll walk you
1:42:23through how to create an AB test,
1:42:25interpret the data, and make datadriven
1:42:27decisions to improve your product's user
1:42:29experience. The first step is to define
1:42:31your hypothesis. In this case, our
1:42:34hypothesis is changing the button color
1:42:36to green will increase conversions by
1:42:38making the CTA or call to action more
1:42:41visually distinct.
1:42:44Next, we'll determine our key metric,
1:42:46which in this case is conversion rate.
1:42:49Conversion rate refers to the percentage
1:42:51of users who sign up after visiting the
1:42:53page. We'll also need to decide on the
1:42:55sample size or test duration, the number
1:42:58of users required to ensure statistical
1:43:00significance.
1:43:02Most AB testing platforms will calculate
1:43:04the required sample size based on your
1:43:06current traffic and expected conversion
1:43:08rates. Let's get started by defining
1:43:11what an AB test is. Simply put, an AB
1:43:15test compares two or more versions of a
1:43:17web page, user interface, or feature to
1:43:20determine which one performs better
1:43:22based on a specific metric, such as
1:43:24conversions, click-through rates, or
1:43:26engagement. In a typical AB test, one
1:43:30group of users sees variation A, the
1:43:33control, and another group sees
1:43:35variation B, the modified version. For
1:43:38this demonstration, we'll run an AB test
1:43:40on the call to action CTA button for our
1:43:43website's signup page. We want to know
1:43:45if changing the color of the join for
1:43:47free button from blue to green will
1:43:49increase conversions. Once the test is
1:43:51set up, traffic is split between the two
1:43:53variations. Variation A, blue button,
1:43:57and variation B, green button. Both
1:44:00versions run simultaneously to ensure
1:44:02that external factors such as time of
1:44:05day or traffic source affect both
1:44:07variations equally. After deploying the
1:44:10AB test, you'll need to run it for a
1:44:12sufficient amount of time to gather
1:44:13enough data for a valid comparison.
1:44:16During this period, it's important to
1:44:17avoid making any other changes to the
1:44:19site or feature being tested. As data
1:44:22comes in, we'll start seeing how each
1:44:24variation is performing. Let's assume
1:44:27we're tracking 30 days of visitors. The
1:44:29next step is analyzing the results to
1:44:31determine which variation performed
1:44:33better. After the test has run its
1:44:35course and we've collected enough data,
1:44:37we can compare the results of variation
1:44:39A and variation B. The key metric we're
1:44:42looking at is conversion rate. The
1:44:45percentage of users who clicked the get
1:44:46started button and completed the sign up
1:44:48process. Let's say variation A, blue
1:44:53button, has a conversion rate of about
1:44:558%. While variation B, green button, has
1:44:59a conversion rate of almost 10%. This
1:45:02suggests that the green button is
1:45:03performing better. But how do we know if
1:45:05this difference is statistically
1:45:07significant?
1:45:08To answer that, we'll need to perform a
1:45:10statistical analysis, typically a t
1:45:13test, like we're using in our example
1:45:15data. Most AB testing platforms will
1:45:19handle this for you. The result will
1:45:21give you a p value which indicates the
1:45:23likelihood that the difference in
1:45:24conversion rates is due to chance. A p
1:45:28value of less than 0.05 is generally
1:45:30considered statistically significant. In
1:45:33our case, if the p value is below 0.05,
1:45:3505. We can confidently say that
1:45:38variation B green button is the better
1:45:40choice and we should consider
1:45:42implementing it as the default design.
1:45:45Based on the AB test results, we now
1:45:47have evidence that the green button
1:45:48leads to higher conversions.
1:45:51This insight helps us make a datadriven
1:45:52decision to implement the design change
1:45:54across the product. But remember, AB
1:45:58testing is an ongoing process. Once we
1:46:01implement the green button, we can
1:46:02continue testing other elements of the
1:46:04page like the headline or the form
1:46:06layout to further improve the user
1:46:08experience and optimize conversions.
1:46:11After making the change, it's important
1:46:13to monitor the impact over time.
1:46:16Sometimes what works in an AB test
1:46:18doesn't always hold up over the long
1:46:20term, especially as user behavior
1:46:22evolves. Use analytics tools to track
1:46:25conversions and other key metrics to
1:46:26ensure the improvement remains
1:46:28effective. In conclusion, AB testing is
1:46:31a powerful method for optimizing product
1:46:34features and making informed design
1:46:36decisions. By following these steps,
1:46:38defining a hypothesis, setting up the
1:46:41test, analyzing the results, and making
1:46:43datadriven changes, you can continually
1:46:46improve the user experience for your SAS
1:46:48product.
1:47:00How do the top enterprise solutions go
1:47:02from meeting basic requirements to
1:47:04exceeding expectations?
1:47:06Today we uncover the secret, the
1:47:08iterative design process. This video
1:47:11will explore why iteration is pivotal in
1:47:14crafting software solutions that not
1:47:16only meet user needs, but continuously
1:47:19evolve with them. By the end of this
1:47:21video, you will be able to explain the
1:47:23concept of iterative design, emphasizing
1:47:26its importance in refining product
1:47:28designs based on user feedback and
1:47:30evolving needs. Before exploring
1:47:32further, let's put iterative design into
1:47:34context by comparing it to non-iterative
1:47:36or waterfall design. In waterfall,
1:47:40developing software flows linearly
1:47:42through stages like analysis, design,
1:47:44and testing. It's not built to adapt
1:47:47quickly to new insights or changing
1:47:49requirements. Some projects with clear
1:47:52requirements might use Waterfall
1:47:53effectively, but imagine developing a
1:47:56new feature in Microsoft 365. Market
1:47:59needs and user expectations change
1:48:01rapidly, necessitating a more flexible
1:48:04and iterative approach. Learn why
1:48:06iteration unlocks potential in dynamic
1:48:09environments. In essence, iterative
1:48:12design is a cyclic approach involving
1:48:14design, implementation, testing, and
1:48:17refining. It enables building
1:48:19prototypes, gathering feedback, and
1:48:21refining products. Think of sculpting in
1:48:24cycles. Each iteration refineses the
1:48:26software closer to optimal user
1:48:28experience. All right, so let's look at
1:48:31common iterative design qualities.
1:48:34First, it's user centric. We make the
1:48:37actual users the central focus and their
1:48:39feedback directly shapes our solutions.
1:48:42Another vital aspect is its flexible
1:48:45nature. Things change, user needs shift
1:48:48and new trends appear. We need to be
1:48:50adaptable and ready to adjust based on
1:48:53that input. This is particularly
1:48:55important for enterprise software like
1:48:57Dynamics 365 which needs to evolve based
1:49:00on user feedback. Then we have a
1:49:03collaborative environment. It's crucial
1:49:06to connect teams from design,
1:49:08development, and even sales. This helps
1:49:10create a unified product vision, and
1:49:13regular collaboration ensures consistent
1:49:15user experiences. Finally, iterative
1:49:18design stresses an improvement focused
1:49:20approach. It's not a one-off. Even after
1:49:23launch, we keep looking for user
1:49:25insights. Consider Microsoft Teams. Its
1:49:28iterative updates based on user feedback
1:49:30are a great example of how
1:49:32functionalities are refined over time.
1:49:37Implementing an iterative design process
1:49:39isn't just about refinement. It's a
1:49:41strategic decision. In enterprise
1:49:44environments, potential setbacks get
1:49:46identified earlier, saving resources and
1:49:48preventing significant roadblocks.
1:49:51Iteration ensures your product meets
1:49:53user expectations through continuous
1:49:55feedback. This approach leads to greater
1:49:57customer satisfaction and broader
1:49:59adoption as seen with Microsoft's Azure
1:50:02services evolution.
1:50:04Iteration also accelerates time to
1:50:06market. Launch an MVP, gather feedback,
1:50:09then enhance. This strategy allows
1:50:11products like Microsoft PowerBI to
1:50:14undergo rapid changes, staying
1:50:16competitive. Innovation thrives in a
1:50:19setting where continuous testing and
1:50:20refinement encourage adaptive thinking.
1:50:24Consider a B-2B software suite like
1:50:26Microsoft Office. Initial releases focus
1:50:29on core features tested by beta users.
1:50:32Gather insights on user interaction and
1:50:34unmet needs. Discover potential hurdles
1:50:37through this feedback. Perhaps users
1:50:40need enhanced integration with cloud
1:50:42services. Iterations then focus on
1:50:45improving connectivity and ease of use.
1:50:48Updated versions incorporate userdriven
1:50:50features like advanced analytics.
1:50:52Feedback reveals further enhancements
1:50:55like more collaborative tools for remote
1:50:57work. Through this iterative journey,
1:51:00the product matches the evolving
1:51:01landscape of user demands. By embracing
1:51:05small failures and adjusting, setbacks
1:51:07are minor, guiding towards the product's
1:51:09full potential. Iterative design isn't
1:51:13linear but a loop of improvement
1:51:15requiring openness to change. This
1:51:18mindset promotes user satisfaction and
1:51:20innovation essential for developing
1:51:22competitive enterprise software.
1:51:25Embracing iteration means embracing a
1:51:28cycle of improvement, ensuring software
1:51:30solutions exceed users changing needs.
1:51:33Iteration empowers you to deliver
1:51:35superior experiences through persistent
1:51:37refinement, setting new benchmarks in
1:51:40enterprise software development.
1:51:52Welcome to the evolution of design.
1:51:55Today we'll explore user centric design,
1:51:58transforming your platform from
1:51:59functional to intuitive, boosting
1:52:02productivity and streamlining workflows.
1:52:04Just as a caterpillar becomes a
1:52:06butterfly, your platform can evolve
1:52:09through iterative design. Meet Anakah, a
1:52:12dedicated product manager at a SAS
1:52:14company. Anakah's team has developed a
1:52:17powerful workflow automation platform,
1:52:19but user adoption has been slow. Our
1:52:22platform has so much potential, but
1:52:24users are finding it difficult to
1:52:26navigate and customize. We need to make
1:52:28it more userfriendly.
1:52:30>> Anakah's mindset is key. The iterative
1:52:33design process embraces the idea that a
1:52:36product is never truly finished, but
1:52:38rather it's constantly evolving based on
1:52:41user needs and feedback. For instance,
1:52:44in the context of a SAS workflow
1:52:46automation platform, user feedback might
1:52:49reveal that the onboarding process is
1:52:51overwhelming and confusing for new
1:52:53users. Equipped with this knowledge, the
1:52:56design team can streamline the
1:52:58onboarding experience, making it more
1:53:00intuitive and userfriendly.
1:53:02>> That's spot on. As designers, we
1:53:05sometimes fall in love with our own
1:53:06creations, but it's crucial to remember
1:53:09that the user is the ultimate judge.
1:53:11Their feedback helps us refine our
1:53:14designs, ensuring the final product is
1:53:16both beautiful and functional.
1:53:18>> But it's not just about fixing problems.
1:53:20User feedback can also spark new ideas
1:53:22and uncover hidden opportunities. In
1:53:25fact, sometimes the most valuable
1:53:27insights come directly from the
1:53:29challenges and frustrations users
1:53:31encounter when interacting with your
1:53:33product.
1:53:35>> Absolutely. We had a similar experience
1:53:37with our workflow automation platform.
1:53:39Initially, we focused on core automation
1:53:42features, but user feedback highlighted
1:53:44a significant challenge. The lack of
1:53:47robust reporting and analytics. This
1:53:49valuable insight prompted us to develop
1:53:51a powerful reporting module that has
1:53:54become a key differentiator for our
1:53:56product.
1:53:56>> Like the butterflyy's journey, the
1:53:58evolution of your product is ongoing.
1:54:01Through user feedback and testing, your
1:54:03SAS platform will continuously adapt and
1:54:06improve, ensuring it remains a valuable
1:54:09and userfriendly tool.
1:54:11>> By listening to our users, we've not
1:54:13only made it more userfriendly, but also
1:54:15unlocked features we hadn't even
1:54:17imagined. It's incredibly rewarding to
1:54:19see how much our users appreciate the
1:54:21improvements.
1:54:33AI systems are becoming a major part of
1:54:36our everyday lives, making decisions
1:54:38that affect real people, from whether a
1:54:40loan gets approved to how a disease is
1:54:42diagnosed. But there's a big challenge.
1:54:45Many AI systems operate like a black
1:54:47box. They give answers, but we don't
1:54:49always know how they got there. And
1:54:51that's not just confusing. It raises
1:54:54serious questions about fairness,
1:54:55accountability, and ethics. In this
1:54:58video, we'll explore some key challenges
1:55:00around AI decision-making and how user
1:55:03centered design and transparency can
1:55:05help. By the end, you'll understand why
1:55:07these ideas matter and how they help
1:55:09build trust and confidence in AI tools.
1:55:13Let's look at the first problem. Lack of
1:55:15transparency in decision-m. Imagine
1:55:18someone applies for a loan and gets
1:55:19rejected by an AI system. They're given
1:55:22no explanation, just a simple no.
1:55:25Naturally, they start to wonder why. Was
1:55:28it their income, credit history, or was
1:55:31there a hidden bias in the system?
1:55:33Without clear answers, they can't
1:55:35understand or challenge the decision.
1:55:38Now, picture a doctor using an AI tool
1:55:41for diagnosis. If the system just gives
1:55:43a result without explaining why, the
1:55:45doctor can't make an informed decision.
1:55:48For high stakes situations like these,
1:55:50transparency is essential. The second
1:55:52issue is high cognitive load and poor
1:55:55usability. Good design isn't just about
1:55:57how something looks. It's about how it
1:56:00works. For example, a financial analyst
1:56:03using AI to predict market trends needs
1:56:05more than just data. They need clarity.
1:56:08What data was used? What are the AI
1:56:10models limitations? What's the insight
1:56:13they can act on? When systems aren't
1:56:15designed with users in mind, confusion
1:56:17and mistakes can follow. Finally, we
1:56:19face the challenge of bias and lack of
1:56:21fairness. AI systems learn from data,
1:56:24and if that data is biased, the AI will
1:56:26be too. For instance, a hiring tool
1:56:29might favor certain groups simply
1:56:31because the training data did. Without
1:56:33visibility into the data or how
1:56:35decisions are made, it's hard to
1:56:37identify and fix these problems. To
1:56:40solve the challenges of trust and
1:56:41fairness in AI, we need a well-rounded
1:56:44user focused approach. One that combines
1:56:46thoughtful design, transparency, and
1:56:48continuous feedback. First, design with
1:56:52context. Align AI systems with user
1:56:55needs, workflows, and how users think
1:56:57and make decisions. For example, an AI
1:57:00tool used by HR professionals to rank
1:57:03job candidates should clearly explain
1:57:05why one applicant ranks higher than
1:57:07another, whether it's based on
1:57:09experience, skills, or education. The
1:57:12explanation should reflect what the user
1:57:14needs to know. Second, ensure
1:57:17explanability by clearly showing how AI
1:57:19decisions are made. Users must be able
1:57:22to understand the reasoning behind an
1:57:24AI's output. For instance, if a loan is
1:57:26denied, the AI should identify the key
1:57:29data points such as income level or
1:57:31credit score that influence the
1:57:33decision. Visual aids and feature
1:57:35analysis can make these explanations
1:57:37more accessible. Third, it's essential
1:57:40to be transparent about data. Sharing
1:57:42information about data sources,
1:57:44assumptions, and limitations. Users
1:57:47should know where the data came from,
1:57:49what was assumed during model
1:57:50development, and whether there might be
1:57:52any biases. This helps people evaluate
1:57:55whether the AI system is fair and
1:57:57reliable. Finally, feedback should go
1:57:59beyond simple yes or no responses and
1:58:02include open-ended questions about
1:58:03fairness, clarity, and usability. Users
1:58:07should be able to comment on how
1:58:08understandable the system was, whether
1:58:11the results felt fair, and if they
1:58:13noticed any bias. This feedback should
1:58:16inform continuous improvement in
1:58:17testing, not only for performance, but
1:58:20also for fairness and user trust. In
1:58:22short, AI shouldn't just be smart. It
1:58:25must also be fair, transparent, and
1:58:27trustworthy. Building responsible AI
1:58:30goes beyond clever algorithms. It
1:58:32demands thoughtful design, openness, and
1:58:35a strong focus on the people who use it.
1:58:44Welcome. In this video, we will focus on
1:58:47the practical demonstration of
1:58:48transparent AI design within Microsoft
1:58:51365 C-Pilot, specifically as it operates
1:58:54within the Project Phoenix document.
1:58:57We'll explore how Copilot provides clear
1:58:59and contextual information about its
1:59:01AIdriven features, ensuring users
1:59:04understand the source and reasoning
1:59:05behind its actions within the context of
1:59:07this specific information. For this
1:59:10example, we will be using the latest
1:59:122025 version of Microsoft 365.
1:59:15Let's begin by generating a summary of
1:59:17this document project Phoenix, which is
1:59:20a market expansion strategy. To do this,
1:59:23load the file into Copilot and then use
1:59:25the prompt summarize this document.
1:59:28Notice how Copilot immediately begins
1:59:30processing and then displays the summary
1:59:32directly within the C-pilot panel based
1:59:34on the content of the project Phoenix
1:59:36document. Look for the general
1:59:38disclaimer at the bottom of the chat
1:59:40window highlighting that AI results may
1:59:42be inaccurate. This disclaimer shows us
1:59:44that the summary is not a human written
1:59:46excerpt but an AI generated distillation
1:59:49of the project Phoenix content and is
1:59:52prone to hallucinations or inaccuracy
1:59:54which is why human oversight is still
1:59:56important. Now let's ask Copilot to
1:59:59analyze specific sections of the
2:00:01document. We'll ask it to analyze the
2:00:04key themes in the introduction. Observe
2:00:06how in co-pilot's analysis, it not only
2:00:09lists the themes, but also provides
2:00:10brief explanations of how it identified
2:00:13them. These explanations often cite
2:00:15specific sentences or phrases from the
2:00:17text. This is vital for transparency.
2:00:20Users can see the direct correlation
2:00:22between the source text in Project
2:00:24Phoenix and Copilot's analysis, gaining
2:00:27confidence in the AI's interpretation.
2:00:30Next, let's use Copilot to generate
2:00:32suggestions for improving a paragraph
2:00:34within the Project Phoenix document.
2:00:36We'll ask it to suggest improvements for
2:00:39the second paragraph. Copilot will
2:00:41provide suggestions such as rephrasing
2:00:43sentences or adding context. Notice that
2:00:46it also provides explanations for each
2:00:48suggestion, detailing why it believes
2:00:50the change would be beneficial. This
2:00:53context is important because it allows
2:00:55users to understand the rationale behind
2:00:57copilot suggestions, enabling them to
2:00:59make informed decisions about whether to
2:01:01implement them. Now, let's see how
2:01:04C-Pilot handles potential errors or
2:01:06limitations. Let's ask it to perform a
2:01:09task that's beyond its capabilities,
2:01:11such as asking it to update the Excel
2:01:13database real time. Copilot explained
2:01:16that it cannot perform the requested
2:01:18task and clarified its limitations. This
2:01:20transparency helps to manage user
2:01:22expectations.
2:01:24Finally, at the bottom of the co-pilot
2:01:26panel, you'll find a feedback option.
2:01:28Click on the thumbs up or thumbs down
2:01:30icon to provide feedback on C-Pilot's
2:01:32performance. This allows users to
2:01:34directly contribute to the improvement
2:01:36of C-Pilot, helping Microsoft refine its
2:01:39AI based on realworld user interactions.
2:01:43You can also use the send feedback
2:01:44feature and use this feature to explain
2:01:46your feedback by giving a compliment,
2:01:48report a problem, or make a suggestion.
2:01:51To further understand Microsoft's
2:01:53commitment to transparent AI practices,
2:01:55we can explore their publicly available
2:01:57responsible AI report. Let's search for
2:02:00this document online. Here are the
2:02:02search results. We're looking for the
2:02:04official report from Microsoft. Click on
2:02:07the link that directs us to the report.
2:02:09This is the Microsoft 2024 responsible
2:02:12AI report. Within this comprehensive
2:02:15document, Microsoft outlines its
2:02:17principles and practices for developing
2:02:19and deploying AI responsibly.
2:02:22Navigate to sections that specifically
2:02:24discuss how AI decisions are made and
2:02:27any specifics shared about their models
2:02:29with users.
2:02:30Note that the level of detail can vary,
2:02:33but the report provides valuable
2:02:34insights into their overall approach to
2:02:36transparency.
2:02:38Pay attention to sections that use terms
2:02:40like transparency, explanability, or
2:02:43discuss efforts to help users understand
2:02:45how their AI systems work. While direct
2:02:48model specifics might be limited for
2:02:50proprietary reasons, the report often
2:02:52details the frameworks and
2:02:54considerations guiding their
2:02:55development. Now, let's return to our
2:02:58co-pilot interface within the Project
2:03:00Phoenix document to explore another way
2:03:02Microsoft provides transparency directly
2:03:05within the product.
2:03:07Look at the top right of the co-pilot
2:03:08chat window. You'll see an ellipsus
2:03:10which usually indicates more options.
2:03:12Click on this button. A drop-own menu
2:03:15will appear. Select the about option.
2:03:18This about copilot window provides
2:03:20important information about how co-pilot
2:03:23works. Look for sections that discuss
2:03:25the model being used, any known
2:03:27limitations, how your data is processed,
2:03:30and links to Microsoft's responsible AI
2:03:32principles or documentation.
2:03:35For example, you might see a statement
2:03:37acknowledging that AI can make mistakes
2:03:39or a link to a page detailing
2:03:41Microsoft's responsible AI commitments.
2:03:44This direct access within the product
2:03:46reinforces their efforts towards
2:03:48transparency.
2:03:49In summary, Microsoft 365 C-Pilot and
2:03:53other Microsoft Office products
2:03:55demonstrate transparent AI design by
2:03:57clearly labeling AI generated content,
2:04:00providing explanations for its analyses
2:04:02and suggestions, communicating its
2:04:04limitations, and incorporating user
2:04:06feedback.
2:04:18Imagine an AI system making a critical
2:04:20error in your enterprise. A mistake that
2:04:22costs your business millions or erodess
2:04:25customer trust. That's the real risk of
2:04:28unchecked AI automation. While AI can
2:04:30greatly enhance efficiency in enterprise
2:04:32products, it is equally important to
2:04:35recognize and address its potential
2:04:37pitfalls. This video provides a brief
2:04:39overview of why balancing AI automation
2:04:42with human oversight is crucial in
2:04:44enterprise products. By the end, you'll
2:04:47be able to explain this balance and its
2:04:49importance in real world applications.
2:04:51As AI becomes more integrated into
2:04:53enterprise products, it will
2:04:55increasingly be used to automate complex
2:04:58tasks, analyze large volumes of data,
2:05:00and personalize user experiences.
2:05:03However, it is also important to
2:05:05consider potential risks. Despite its
2:05:08capabilities, AI is not infallible. It
2:05:10can make errors and may inherit biases
2:05:13from its training data, resulting in
2:05:15unfair or inaccurate outcomes. Users
2:05:19must understand how AI reaches its
2:05:21decisions and more importantly be
2:05:23empowered to intervene when necessary.
2:05:25This is why balancing automation with
2:05:27human control is not just a good idea,
2:05:30but a vital necessity. It lets you
2:05:32harness the power of AI while
2:05:34maintaining user trust and achieving
2:05:36accurate, reliable outcomes. To
2:05:38accomplish this, you must design systems
2:05:40that allow for meaningful human
2:05:42oversight. This means providing clear
2:05:45and understandable explanations of AI
2:05:47actions. It also means creating easy and
2:05:50intuitive ways for users to correct or
2:05:53override automated decisions.
2:05:55Consider a financial tool for enterprise
2:05:57users. AI may automate investment
2:06:00recommendations to optimize portfolio
2:06:02performance. However, users must be able
2:06:05to easily review and adjust these
2:06:07recommendations.
2:06:09Understanding the rationale behind the
2:06:10AI's suggestions is essential not only
2:06:13for building trust and confidence, but
2:06:15also for allowing users to maintain full
2:06:17control over their financial decisions.
2:06:20In a supply chain management system, AI
2:06:22can forecast demand and optimize
2:06:25logistics to enhance operational
2:06:27efficiency. However, human managers must
2:06:30have the ability to review and validate
2:06:32these predictions. They also need to
2:06:34respond effectively to unexpected events
2:06:37such as supply disruptions or rapid
2:06:39market changes. This collaboration
2:06:41between human expertise and AI
2:06:44capabilities helps maintain a system
2:06:46that is robust, adaptable, and reliable.
2:06:49To implement human oversight, you must
2:06:52consider several key design principles.
2:06:54First, provide clear and understandable
2:06:57explanations of AI decisions. This
2:07:00includes displaying the data the AI used
2:07:02and the reasoning behind its
2:07:03conclusions.
2:07:05Second, create user interfaces that
2:07:07allow easy and intuitive intervention.
2:07:10Users should be able to modify or
2:07:12reverse AI actions with minimal effort.
2:07:15Third, implement feedback loops. This
2:07:18allows users to report errors and
2:07:20provide input that can improve the AI's
2:07:22performance over time. Ethical
2:07:24considerations are also essential. AI
2:07:27systems can unintentionally reinforce
2:07:29existing biases, resulting in unfair or
2:07:32discriminatory outcomes. For instance, a
2:07:34hiring tool may disadvantage certain
2:07:36groups if it is trained on biased data.
2:07:39Human oversight supported by regular
2:07:41audits and reviews plays a key role in
2:07:44reducing these risks. Clear guidelines
2:07:47should be established to help reviewers
2:07:49address biased or incorrect results,
2:07:51promoting fairness and accountability.
2:07:53Explainable AI is another key concept.
2:07:56It provides transparency by showing how
2:07:58the AI reaches its conclusions, often
2:08:00through visualizations or detailed
2:08:03reports. Careful consideration is needed
2:08:06when designing user interfaces that
2:08:08support effective collaboration between
2:08:10humans and AI. This involves
2:08:12incorporating clear visual cues,
2:08:14intuitive navigation, and
2:08:16straightforward options for accessing
2:08:18and modifying AIdriven outputs.
2:08:21Accessibility standards must also be
2:08:23addressed to ensure that all users,
2:08:25regardless of ability, can interact with
2:08:27the system effectively. Balancing AI and
2:08:30human control builds trust and improves
2:08:33user experience. As you design, focus on
2:08:36transparency and user control. Your work
2:08:39influences how people interact with AI.
2:08:42Build systems that enhance human
2:08:44capability. Apply these principles to
2:08:46your product development and contribute
2:08:48to better human AI collaboration.
2:08:58Imagine you're a product manager
2:09:00analyzing sales data to understand why a
2:09:02recent marketing campaign performed
2:09:04below expectations. You need to use
2:09:06PowerBI to identify key contributing
2:09:08factors. This video will demonstrate how
2:09:11PowerBI's AI features when designed for
2:09:14human AI collaboration can empower you
2:09:16to efficiently explore the data,
2:09:19validate AIdriven insights, and make
2:09:21informed decisions. We'll focus on how
2:09:24PowerBI enables user review, adjustment,
2:09:27and control of AIdriven analysis. Let's
2:09:30begin with PowerBI's smart narrative
2:09:33feature. This feature uses AI to
2:09:36automatically generate text summaries of
2:09:38data visualizations. To demonstrate, in
2:09:40the sales analysis.pbix
2:09:43report, select the clustered bar chart
2:09:45showing sales by region on the sales
2:09:47overview page. Then click the smart
2:09:50narrative button in the visualizations
2:09:52pane. PowerBI will generate a narrative
2:09:55summary of the clustered bar chart.
2:09:57However, the key is that this narrative
2:09:59is fully editable. Users can review the
2:10:02AI's interpretation, add their own
2:10:04insights, for example, knowledge of
2:10:06regional marketing campaigns and adjust
2:10:08the language to ensure accuracy and
2:10:10clarity. This editability is crucial for
2:10:13human AI collaboration. It allows users
2:10:16to maintain control over the
2:10:18communication of data insights, ensuring
2:10:20that the AI's output aligns with human
2:10:23understanding and business context. Now,
2:10:26let's explore the key influencers
2:10:27visual. This feature uses AI to identify
2:10:31factors that influence a specific
2:10:33outcome. To use it, select the key
2:10:35influencers visual on the sales overview
2:10:38page. Then select sales as the outcome
2:10:42you want to analyze and region and
2:10:43product category as the factors that
2:10:45might influence it. PowerBI will present
2:10:48a list of key influencers ranked by
2:10:51their impact on sales. Importantly,
2:10:54users can explore the AI's findings in
2:10:56detail. They can examine the data behind
2:10:58each influencer. Validate the AI's
2:11:01conclusions and even filter the data
2:11:03using the year slicer to see how
2:11:05influencers behave in different years.
2:11:08This level of interactivity and
2:11:10exploration empowers users to
2:11:12collaborate with the AI, not just accept
2:11:14its output. Users can challenge the AI's
2:11:18findings, refine their understanding,
2:11:20and gain deeper insights into what
2:11:22drives sales in the sales data.xlsx
2:11:25data set.
2:11:26For example, you might notice the AI
2:11:29highlighting a region's influence, but
2:11:31your knowledge of a specific campaign in
2:11:33that region might lead you to interpret
2:11:34the AI's finding differently. Next,
2:11:37let's look at the decomposition tree.
2:11:40This visual uses AI to help users break
2:11:42down a metric into its contributing
2:11:44factors. To use it, add a decomposition
2:11:47tree visual to the sales overview page.
2:11:50Then select sales as the metric you want
2:11:52to analyze and region and product
2:11:54category as the dimensions you want to
2:11:56use for decomposition.
2:11:58The decomposition tree allows users to
2:12:00explore the sales data in an intuitive
2:12:02way. The AI can guide the initial
2:12:05breakdown, but users can then direct the
2:12:07exploration, choosing which branches to
2:12:10expand, for example, exploring specific
2:12:12product categories in detail within a
2:12:14particular region and which factors to
2:12:16investigate further. This guided
2:12:19exploration enables a powerful form of
2:12:21human AI collaboration. The AI provides
2:12:24a starting point, but the user's
2:12:26expertise and intuition drive the
2:12:28analysis, leading to more nuanced and
2:12:31relevant insights into the sales
2:12:32data.xlsx
2:12:34data set. For instance, you might use
2:12:37the decomposition tree to identify
2:12:39underperforming product categories in
2:12:41specific regions, prompting you to
2:12:43investigate potential marketing campaign
2:12:45failures.
2:12:46Finally, let's examine anomaly
2:12:48detection. Select the line chart on the
2:12:51sales overview page, which displays
2:12:53sales overear. Then add anomaly
2:12:56detection to the chart using the
2:12:58analytics pane. PowerBI will highlight
2:13:00anomalies in the sales trend and provide
2:13:03explanations for why they are considered
2:13:05unusual. However, users can adjust the
2:13:08sensitivity of the anomaly detection,
2:13:10controlling how aggressively the AI
2:13:12flags data points in the sales data.xlsx
2:13:14XLSX data set. This allows you to focus
2:13:18on significant deviations while ignoring
2:13:20minor fluctuations.
2:13:22This control over sensitivity is crucial
2:13:24for effective human AI collaboration.
2:13:27It allows users to tailor the AI's
2:13:29behavior to their specific needs,
2:13:32balancing the risk of missing important
2:13:33anomalies like sudden sales drops
2:13:36following a campaign with the noise of
2:13:38too many false positives that might
2:13:39distract from the overall trend.
2:13:42Throughout these examples, we've seen
2:13:44how PowerBI's AI features are designed
2:13:46for collaboration.
2:13:48They provide AIdriven insights, but they
2:13:51also empower users to review, adjust,
2:13:53and control the AI's output. This
2:13:56approach maximizes the benefits of both
2:13:58human and AI intelligence, leading to
2:14:01more accurate, insightful, and
2:14:02actionable data analysis.
2:14:14As AI becomes deeply embedded in
2:14:16enterprise products, the challenge is no
2:14:18longer just about efficiency or
2:14:20innovation. It's about responsibility.
2:14:23Behind the impressive capabilities of AI
2:14:25lies a critical question. Are we
2:14:27building systems that reflect our
2:14:29values? or are we in unintentionally
2:14:32reinforcing the very biases and
2:14:33inequalities we aim to overcome? To move
2:14:37forward, we must look beneath the
2:14:39surface, examining how AI can quietly
2:14:41amplify social bias, compromise privacy,
2:14:44and create unequal outcomes. The goal is
2:14:47clear to align technological advancement
2:14:49with ethical human- centered principles.
2:14:52This video examines the intricate
2:14:54ethical landscape of AI design within
2:14:56enterprise contexts. We will explore the
2:14:59multifaceted nature of algorithmic bias,
2:15:02the evolving dynamics of data privacy,
2:15:04and the critical need for inclusive AI
2:15:07design. By the end, you'll understand
2:15:09the importance of a balanced approach to
2:15:11AI automation, incorporating robust
2:15:14human oversight and proactive, ethical
2:15:16design principles. Bias in AI is a
2:15:19critical concern. AI learns from data,
2:15:22and if that data reflects historical
2:15:24inequalities, it can amplify them. For
2:15:27instance, a hiring AI trained on biased
2:15:29data might favor certain demographics,
2:15:32disadvantaging qualified candidates from
2:15:34underrepresented groups. This isn't just
2:15:37a theory. For example, an AI reviewing
2:15:40resumes might favor candidates from
2:15:42certain universities, ignoring equally
2:15:44talented people from other backgrounds.
2:15:47This happens because the AI learns from
2:15:49past hiring patterns, which may have
2:15:51been biased to begin with. Algorithms
2:15:54reflect human choices like what data to
2:15:57include, which factors to weigh more
2:15:59heavily, and what goals the system is
2:16:01optimized for. These choices can
2:16:03unintentionally embed bias. Even when
2:16:06data seems objective, these choices can
2:16:08introduce bias. For example, a credit
2:16:11risk algorithm might assign lower scores
2:16:14to people in certain zip codes due to
2:16:16historical economic disparities. This
2:16:18happens because the algorithm focuses on
2:16:21reducing loan defaults without
2:16:23considering the broader social impact.
2:16:25Addressing bias goes beyond cleaning
2:16:27data. It involves reviewing the entire
2:16:30system including data sources,
2:16:32algorithmic logic, and optimization
2:16:35goals. A multiddisciplinary approach is
2:16:38essential, bringing together data
2:16:39scientists, ethicists, and community
2:16:42representatives to identify and reduce
2:16:44bias. The goal is to understand what
2:16:47values are built into the system and
2:16:49support fair outcomes for different user
2:16:51groups. Data privacy is also crucial. AI
2:16:55uses personal information requiring
2:16:57designs that respect user privacy beyond
2:16:59legal compliance. For example, an AI
2:17:02analyzing customer interactions must
2:17:04have strong safeguards to prevent data
2:17:06exposure, identity theft, or
2:17:08discrimination.
2:17:10This involves transparent data
2:17:12practices, clear consent mechanisms, and
2:17:14easy user data access and deletion. AI's
2:17:18impact varies across user groups. A
2:17:20system that works for one group might
2:17:22fail another. For instance, a
2:17:24translation tool might struggle with
2:17:26less common languages or accents due to
2:17:28training data limitations. We must
2:17:31design adaptable, inclusive AI, testing
2:17:34with diverse users to address
2:17:35disparities. Balancing AI with human
2:17:38judgment is essential. AI handles data
2:17:41quickly, but humans are needed for
2:17:43complex decisions. For example, AI can
2:17:47flag financial fraud, but human analysts
2:17:49should confirm it. This combines AI
2:17:52speed with human insight. Regular
2:17:55ethical audits and rigorous testing play
2:17:57a key role in building trustworthy AI
2:17:59systems. Audits help uncover hidden
2:18:02biases in decision-making, while testing
2:18:04evaluates how well the system performs
2:18:06across diverse user groups and protects
2:18:09data privacy. For instance, testing
2:18:12facial recognition on a range of skin
2:18:14tones can highlight accuracy gaps. These
2:18:16practices help build more reliable and
2:18:18inclusive AI. Ethical AI goes beyond
2:18:22avoiding harm. It's about promoting
2:18:24fairness and inclusion. AI should serve
2:18:27as a force for social good, improving
2:18:29outcomes for people of all backgrounds.
2:18:32Product managers play a key role in this
2:18:34process. By focusing on transparency,
2:18:36equity, and thoughtful design, they help
2:18:39shape AI systems that benefit everyone.
2:18:45Imagine
2:18:50you're a product manager and the product
2:18:52team is developing a new AI feature for
2:18:54an enterprise resource planning system.
2:18:56This feature uses machine learning to
2:18:58predict employee performance. The team
2:19:01understands that building AI responsibly
2:19:03is crucial. They need to ensure the AI
2:19:05is fair, transparent, and does not
2:19:07introduce harmful biases. They want to
2:19:10learn how Microsoft addresses these
2:19:11ethical considerations in its AI
2:19:13products and what tools are available to
2:19:15help them build ethically. Building AI
2:19:18responsibly is not just a technical
2:19:20challenge. It is also an ethical one. AI
2:19:23systems can have a significant impact on
2:19:25individuals and society. Product teams
2:19:28must actively consider principles like
2:19:30fairness, reliability, privacy, safety,
2:19:34inclusiveness, transparency, and
2:19:36accountability throughout the
2:19:37development process. This is known as
2:19:41responsible AI. One key principle is
2:19:44fairness. This means AI systems should
2:19:47treat everyone equitably and avoid
2:19:49discrimination. It is important to
2:19:51evaluate AI models to identify and
2:19:53address potential biases that could lead
2:19:55to unfair outcomes for certain groups.
2:19:58Another vital principle is transparency.
2:20:01This involves making AI systems
2:20:03understandable.
2:20:05Users should have insight into how an AI
2:20:07arrived at a decision or outcome, which
2:20:09builds trust and allows for
2:20:11accountability. Tools and documentation
2:20:13can help explain AI behavior. Microsoft
2:20:16develops its AI products like C-Pilot
2:20:19with these principles in mind. Copilot
2:20:22is designed with safeguards and ongoing
2:20:24evaluation processes to promote
2:20:26fairness, reliability, and safety.
2:20:29Additionally, tools and documentation
2:20:31are available to support developers and
2:20:33product teams in applying these
2:20:34principles to their own AI projects.
2:20:37Let's explore how you might use a tool
2:20:39like Microsoft Copilot to assist you in
2:20:41thinking through and documenting ethical
2:20:43considerations for your own AI project.
2:20:46Copilot can serve as a helpful assistant
2:20:48for various tasks related to ethical AI
2:20:50design. Imagine you are drafting
2:20:52guidelines for the responsible use of an
2:20:54AI feature your team is building. You
2:20:57need to include sections on how users
2:20:59should interpret the AI suggestions and
2:21:01the importance of human oversight. You
2:21:04can use Copilot to help you draft
2:21:05content for these guidelines. You can
2:21:08provide Copilot with a prompt asking it
2:21:10to generate text that covers these
2:21:12points. For example, you could ask
2:21:14Copilot to draft language emphasizing
2:21:16that the AI's output is a recommendation
2:21:19and human judgment is required for final
2:21:21decisions. C-Pilot can draw upon its
2:21:24understanding of responsible AI concepts
2:21:26to generate text that aligns with best
2:21:28practices. This provides a starting
2:21:31point that you can then review, edit,
2:21:33and tailor to your specific AI feature
2:21:35and organizational policies. You might
2:21:38also need to consider potential biases
2:21:40in the data you are using to train your
2:21:42AI. You could ask Copilot for
2:21:44information on common types of bias
2:21:46found in similar data sets or for
2:21:48suggestions on strategies to identify
2:21:50bias. Beyond using tools like C-pilot
2:21:53for assistance, Microsoft provides
2:21:55detailed documentation and frameworks
2:21:57outlining their approach to responsible
2:21:59AI. Product teams can refer to these
2:22:02resources for guidance on implementing
2:22:04responsible AI practices throughout
2:22:06their development life cycle. These
2:22:08resources cover topics such as how to
2:22:10implement responsible AI through
2:22:12governance, team enablement, sensitive
2:22:15use, and public policy. They provide
2:22:17practical guidance for product teams
2:22:19working to build AI ethically.
2:22:21Microsoft is committed to this through
2:22:23its core principles and frameworks.
2:22:25Tools like C-Pilot can serve as valuable
2:22:28assistance in applying these principles,
2:22:30helping product teams consider ethical
2:22:32implications and draft relevant
2:22:33documentation. By embracing responsible
2:22:36AI principles and leveraging available
2:22:38resources, product teams can build AI
2:22:41products that are not only powerful and
2:22:43innovative, but also fair, transparent,
2:22:45and earn user trust.

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