Pendo

5 ways to use AI in product discovery

Steve Cheshire

Manager, Product Management at Pendo

Explore top use cases for AI and product discovery, from customer research to idea generation.

Strategies on how to leverage AI

Learn how to navigate risks and challenges when using AI for discovery, such as legal considerations and bias.

Top mistakes to avoid

Get some quick wins under your belt with product discovery prompts, tips, and tricks from other product experts.

Practical tips to start today

Ignore AI if you want to become replaceable.Combine AI with Product Discovery to stand out in the market. Here's how you this course gets ready. Practical Content:- Understand why product discovery is critical to remain relevant- Use AI as your co-pilot for your Discovery journey- Learn what you need to get management to listen to you and support your ideas- Uncover simple ways to defeat painful anti-patterns- Learn how to structure your product discovery hassle-free- Avoid common mistakes with customer interviews- Get 20+ templates to save your nerves and time With:- Concise and applicable insights on how to do product discovery right- Templates &amp; frameworks to accelerate product discovery- Hands-on exercises with direct feedback- Real-life examples and learnings from them- Applicable insights used in B2C &amp; B2B The workshops will equip you to succeed with product discovery. The skills you will learn will make you a more valuable product manager, enabling you to stand out among others. Product discovery is often misunderstood. You don't need to suffer. I can help you understand what it takes to apply product discovery right from day one. You will benefit from strategies that work from startups to well-established corporations. It will work for you, too :) PS: If you're experienced with Product Discovery and are looking for advanced techniques, this course may not be for you. We will cover the foundations and practices often misunderstood by many teams. Our focus is on streamlining discovery with a sound structure.

Applying product discovery in-practice

Learn the secrets to getting buy-in from top management to support your product discovery initiatives

Getting Buy-in

Understanding what product discovery is and common anti-patterns

Product Discovery

Evaluate your status quo and learn how you can start applying product discovery in your scenario

Kicking Off Product Discovery

Learning the key elements of product discovery and how they connect with each other

Product Discovery Journey

Extending your toolbox to know which discovery technique to use when

Discovery Techniques

Learn how to identify, prioritze, and test assumptions

Mastering Assumptions

Understand how to create product experiments, align, run, learn, and evolve

Product Experiments

Course Content

Goal: Understanding how discovery done right looks like and how to gain support from high-level managementAgenda<ul><li>Tune In 15'</li><li>Warm Up 10'</li><li>Why Discovery Matters 20'</li><li>Discovery vs. Delivery 15'</li><li>Gaining Support 20'</li><li>Discovery Journey 15'</li><li>Setting Goals 5'</li><li>Q&amp;A 10’</li><li>Tune Out 5'</li></ul>

First Session


Goal: Understand the essence of product discoveryAgenda<ul><li>Tune In 15'</li><li>Customer Journey 5'</li><li>Exercise Customer Journey 30'</li><li>Uncover Value Drivers 10'</li><li>Interview 15'</li><li>Exercise 35'</li><li>Q&amp;A 10’</li><li>Tune Out 5’</li></ul>

Second Session


Goal: Learn how to find opportunities worth pursuingAgenda<ul><li>Tune In 10’</li><li>Problem Space 10'</li><li>Exercise 20'</li><li>Opportunity Solution Tree 10'</li><li>Decide and Focus 10'</li><li>Ideate on Solutions 10'</li><li>Sweet Spot 10’</li><li>Exercise Sweet Spot 30’</li><li>Tune Out 5’</li></ul>

Third Session


Goal: Master the art of dropping bad ideasAgenda:<ul><li>Tune In 5’</li><li>Identifying Assumptions 15'</li><li>Prioritizing Assumptions 10'</li><li>Exercise 30'</li><li>Expected Results 10'</li><li>Exercise 25'</li><li>Testing Assumptions 10'</li><li>Succeeding with Discovery 15'</li><li>Tune Out 10'</li></ul>

Fourth Session


Course schedule

Product Managers and Product Owners who either want to learn how to apply product discovery in practice

Any product team member, e.g., UX Designer, Software Engineer, who want to level up product discovery skillset

Leaders willing to do what it takes to create an outstanding product organization

Who is this course for

What you’ll get out of this course

You will receive solid examples of combining AI with discovery to regain your time

Proven AI prompts that save your hours

Learn the right ingredients for product discovery and understand how to apply them correctly while avoiding common mistakes

Product Discovery Structure

Learn how to initiate a journey that high-level will support. You won't be ignored anymore.

How to get support from top management

Learn what most innovative companies do and how they combine product discovery and delivery without creating siloes.

Clarity on combining discovery and delivery

You will get your hands on 17 world-class templates ready to use and a product discovery framework to apply immediately

Templates & frameworks

Access to a dedicated Slack community to exchange with other course members and ask questions between sessions

Supportive community

As a cohort student, you get a year premium subscription to my newsletter <a href="https://dpereira.substack.com/" rel="noopener noreferrer" target="_blank">Untrapping Product Teams</a>. You will have access to all premium material and the full 250+ articles library

Unlimited access to Untrapping Product Teams library

How to stand out as a product person by leveraging mindful discovery and generative AI

David Pereira

Product Coach, Book Author, Keynote Speaker

Q4 2024

Q2 2025

The AI Revolution is Just BeginningSince ChatGPT's landmark debut in late 2022, we've witnessed a seismic shift in how businesses and consumers view AI. What started as a fascinating chatbot has sparked a fundamental transformation across industries. Large Language Models, once considered cutting-edge, are now table stakes. As we move from GenAI to Agentic AI, the pace of innovation shows no signs of slowing.The message is clear: AI isn't just another tech trend—it's becoming the core of how products and services will be built and delivered. Whether you're in B2C or B2B, your products will either evolve to leverage AI or risk becoming obsolete. The AI Execution ChallengeBut here's the paradox: While AI technology races forward, many product teams are still struggling with the basics of building successful AI products. If you're a product or design leader, you've likely experienced the pressure to "get something out there with AI." Companies are rushing to implement solutions, driven by top-down mandates, competitive pressure, or technological FOMO.The reality? Successful AI products aren't born from rushing to implementation. They come from thoughtful strategy, careful validation, and deliberate planning that creates genuine value for users and business. Right now, teams are:- Jumping into AI implementation without proper strategic deliberation- Struggling to identify which problems truly need AI solutions- Missing alignment with critical user needs in the rush to deploy- Lacking frameworks to evaluate and validate AI opportunities- Unable to effectively communicate the "why" behind AI initiatives But does it have to be this way? You can learn to evaluate and strategize AI initiatives with confidence. You can develop clear frameworks for validating AI opportunities. You can create compelling roadmaps that align stakeholders around a shared vision.This is exactly what you'll master in this course. What you will learn: - How to identify which problems truly need AI solutions- How to evaluate AI opportunities using proven frameworks- How to build user trust in AI through thoughtful design- How to craft AI experiences users will actually adopt- How to validate AI features before heavy investment- How to choose the right AI interfaces for your use case- How to define data requirements for AI success- How to plan for responsible AI implementation- How to measure AI product success meaningfully- How to communicate AI strategy to stakeholders- How to align teams around your AI vision- How to create AI roadmaps that drive real value- How to assess technical feasibility early- How to prototype AI features with no-code tools to get buy-in Our ApproachThis course is designed to transform how you think about and approach AI product opportunities. If you engage fully with the course, you'll make a fundamental shift from "How do we add AI to our product?" to "How do we strategically create value with AI?" You'll develop the muscle memory to instantly recognize good AI opportunities, ask the right questions, and make informed strategic decisions. Throughout the program, we'll move beyond theoretical frameworks to tackle real challenges you're facing through AMA sections of the workshop. We'll explore the nuances of different AI use cases, examine edge cases that challenge conventional thinking, and work through examples that build your strategic instincts. Every framework and approach we teach comes from real-world experience leading AI initiatives—successes and failures included. We've specifically designed this course to build your confidence through practice. Each week builds upon the previous learnings, helping you develop a natural intuition for AI product strategy. All sessions are recorded, and frameworks are documented so you can revisit and reinforce your learning as you lead future AI initiatives.

Plan Your First AI Prototype with Help from Seasoned AI Professionals

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time AI Product Discovery WorkshopThis workshop includes time to practice the frameworks we're learning with group breakouts and hands-on exercises. Recording will be available.

Tuesday, December 3rd

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time Design Considerations for AI SystemsGet ready to tour the world of innovative UI user experiences. Recording will be available.

Wednesday, December 4th

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time Data &amp; Technical Plans for AI ProductsWe'll dive deep into data considerations and how to choose between emerging architecture frameworks in AI systems. Recording will be available.

Tuesday, December 10th

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time AI Protoyping and ValidationGet ready for a fast-paced ride through the world of tool for AI prototyping and validation. Recording will be available.

Wednesday, December 11th

Put aside 2-3 hours to work on your AI project idea between sessions. You'll be guided with a workbook to consider the most important decision points.

Weekly projects

Join our Slack community that lives on even beyond the course! Network with like-minded product and design leaders, and get feedback on your projects and progress.

Network & Get Feedback

Product Leaders &amp; Founders Leading AI initiatives or building AI products? Learn to evaluate opportunities and create roadmaps that deliver

Design &amp; Research Leaders Shape the future of AI experiences. Learn to uncover user needs, design trustworthy AI interactions, and validate

Innovation Consultants Guide clients through AI transformation. Learn frameworks to evaluate opportunities and create actionable strategies

This course is NOT for aspiring product and business leaders hoping to use AI to gain their first experience in software development.

Key Outcomes

Learn to identify and validate AI opportunities that deliver real value. Move beyond the hype to uncover genuine user needs and business opportunities that AI can uniquely solve.

Define Winning AI Opportunities

Master the principles of designing AI interfaces that users trust and love. Learn to create experiences that balance automation with user control, transparency with simplicity.

Craft AI User Experiences
 

Develop comprehensive strategies that address data requirements, model selection, and technical feasibility. Learn to make informed decisions about AI capabilities and resource needs.

Create Actionable AI Strategies
 

Master the principles of AI product design that build user confidence. Learn how to create experiences that are transparent, intuitive, and aligned with user expectations in the AI era.

Design for Trust & Adoption
 

Build compelling narratives around your AI initiatives. Create strategic documents and presentations that communicate your vision and gain buy-in from leadership and stakeholders.

Drive Stakeholder Alignment
 

Learn to assess AI implementation options and make informed decisions about technology choices. Develop criteria for selecting the right tools and approaches that align with your product goals.

Evaluate Technical Approaches
 

Create a portfolio of strategic artifacts including opportunity assessments, user journey maps, data strategies, and product roadmaps that showcase your AI product leadership capabilities.

Build Your Strategic Portfolio
 

Learn to strategize, validate, and plan AI products that deliver value. Leave with a  plan to build your first Minimum *Lovable* AI Product!

Rupa Chaturvedi

Polly Allen

Cohort 1

Cohort 2

✏️ About the CourseI designed this course to give you the most bang for your buck. In just three weeks (with a fourth week to complete your final project), you will learn A LOT about AI and its impact on Product Leadership. This will also cover some of the impact on Product Management, but the primary focus of this course is how AI impacts Product Leaders (managers of product managers). 🧠 What you will learn:1. In-depth AI Knowledge&nbsp;&nbsp;- Gain a comprehensive understanding of AI technologies relevant to product management&nbsp;&nbsp;- Learn to identify AI implementation opportunities in your product lifecycle 2. Enhanced Decision-Making Skills&nbsp;&nbsp;- Learn AI-powered analytics for data-driven product decisions&nbsp;&nbsp;- Develop strategies for integrating AI insights into your product roadmap 3. AI-Driven Team Leadership&nbsp;&nbsp;- Learn techniques for building, upskilling, and leading AI-proficient product teams&nbsp;&nbsp;- Understand how to foster a culture of AI innovation within your organization 4. Strategic AI Implementation&nbsp;&nbsp;- Develop skills to craft and execute AI-enhanced product strategies&nbsp;&nbsp;- Learn to align AI initiatives with overall business objectives 5. Ethical AI Product Development&nbsp;&nbsp;- Understand the ethical implications of AI in product development&nbsp;&nbsp;- Learn to implement responsible AI practices in your product lifecycle 6. Practical, Hands-On Experience&nbsp;&nbsp;- Apply AI tools and techniques to real-world product management scenarios&nbsp;&nbsp;- Develop an AI integration strategy for your own product or organization 7. Personal AI Toolkit&nbsp;&nbsp;- Curate a personalized set of AI tools to enhance your productivity&nbsp;&nbsp;- Learn ongoing strategies for staying updated with AI advancements 👨‍🏫 About the InstructorWith over 20 years of experience in Product Management, Product Marketing, and Product Leadership, I bring a wealth of knowledge and practical insights to this course. My career spans across technology giants like T-Mobile, Qualcomm, and Sony, where I've driven successful product launches, grown existing businesses, and entered new markets.​​My expertise extends beyond the corporate world into academia. I'm currently an Adjunct Professor at University of Washington’s Foster School of Business and Seattle University's Albers School of Business and Economics, where I teach Strategy to undergraduate and graduate students. Teaching allows me to blend theoretical concepts with real-world applications, preparing the next generation of business leaders.​I hold an MBA degree and an MS in Engineering degree, both from UCLA, bringing a unique combination of business acumen and technical knowledge to product management. My approach is deeply rooted in customer-centric product vision, data-driven decision making, and strategic planning.​I LOVE teaching others and I am passionate about sharing my knowledge and experience with you. Through this course, I aim to equip you with the tools, strategies, and insights needed to excel in product leadership roles in today's AI-driven business landscape.​ 🙋🏻‍♀️ FAQ'sHow will I learn so much in such a short amount of time? I take a direct and no-nonsense approach to teaching; your time is too valuable to waste. And, as an adjunct university professor, I use a similar approach in this course as I do in my other classes:- Lecture (learning concepts with examples and discussion in live classes)- Application (an assignment to apply what you have learned to your work environment)- Peer Review (group feedback on your applications) Is everything I learn going to be all theory and no practice?No, that couldn't be further from the truth. You will learn AND apply your learning in this course. And, as the final project, you will develop a plan to continue building on what you've learned long after the course ends. Are you available during the course if I have any questions?Yes, I will be available by chat and email the entire time. Plus, if you would like, I am happy to schedule "office hours" to meet over zoom. Are you a good teacher?I learned growing up not to brag, but I will share that I consistently get top marks in student evaluations including the most important question - would you recommend this professor to someone else? (please refer to my testimonials)

From AI-curious to AI-confident. Learn to lead AI-driven product teams.


Interactive lectures, discussions, and workshops.

Six Live Interactive Class Sessions


Apply what you've learned to your work environment.

Four "assignments"


All you need to do is ask; topic of discussion is your choice.

Office Hours


Develop a draft AI integration strategy for your product line or organization, incorporating learnings from all aspects of the course.

Final Project


...Product Leaders (someone who manages PMs) looking to understand how AI impacts their role, their team, and their product strategy.

...senior-level Product Managers aiming to advance to a Product Leader role, seeking to develop AI-driven leadership skills.

...Visionary Startup Founders who recognize the critical importance of building and leading an AI-ready product team to drive innovation.

This course is designed for...


A framework for identifying AI opportunities in your product lifecycle.


Strategies for leading and upskilling AI-proficient product teams.


Techniques for integrating AI into product strategy, product roadmapping, and decision-making.


Skills to evaluate and implement ethical AI practices in product development.


Hands-on experience with AI tools relevant to product management.


A personalized AI integration strategy for your product team or organization.


Insights on future AI trends and their impact on product management.


A network of peer product leaders facing similar AI challenges (being a product leader is lonely sometimes).


Enhanced ability to communicate AI value to stakeholders and executives.


Confidence to drive AI-powered innovation in your product organization.


Prepares Product Management Leaders to leverage AI to enhance decision-making, team leadership, and strategic planning. 


Cohort 3

Michael Hirsch

20+ years in Product Leadership . Adjunct professor. Product Coach. Engineer.

Cohort 4

AI is no longer optional - it’s a must have for all products. Join&nbsp;Cy Khormaee, AI Faculty at UCLA with experience building AI products at Attentive, Google, and Microsoft, to discover how product managers can lead their products into the AI era. In this session, Cy will help you cut through the noise and make AI work for your product—offering real-world insights, frameworks, and strategies to help you stay ahead in the rapidly evolving AI landscape. Whether you're just beginning to integrate AI or looking to scale your AI-powered solutions, you'll walk away with practical tools to drive AI adoption and product success. Reasons to take this course: - You are being asked to build AI into your product or build a new AI product - You want to understand how to identify key opportunities for business impact beyond novelty - You want to learn from real world AI success stories at Netflix, Tesla, and Google - You are struggling to measure AI products and execution of your AI team - You looking to move into AI Product Management or leadership role Course Style:This course will be dynamic with a lot of student interaction. Much of the content will be taught in the case method where core frameworks are introduced and then immediately applied to real world cases in a discussion format. The projects will follow the discussions to enable students to apply these frameworks to their current problems. Students will walk away from this course with complete strategies to tackle AI in their product. This event is perfect for product managers looking to expand their AI expertise, enhance their product management skills, and lead AI strategy in their organizations. If you’re looking to transform your product and advance your career, this is a must-attend event for you!

Position your product and career for success in the age of AI

Class will meet Tuesday and Thursday Morning for two weeks. There will be short projects after each session to give students an opportunity to apply what they've learned.

Tuesdays & Thursdays

Product Managers looking to understand how apply AI to their product or get a role in AI

Managers + Leaders looking to broaden their understanding of AI Strategy to position their organizations for success with AI

Aspiring PMs. AI presents a unique opportunity for engineers, analysts, or students looking to transfer into the PM role.

Understand how AI will shape industries and a framework to understand how it will affect yours. Featured Case Study: Netflix vs Hollywood

How to see the 4 AI Forces

Learn the core ways that you can leverage AI to advantage your business as the forces sweep through your industry. Case Study: Netflix vs Hollywood pt 2

How to Apply the 4 AI Advantages

Learn the new AI PDLC and how AI product execution is different from traditional software. Understand how this changes the role of PMs and the formation of product + engineering teams as a whole. Case Study: Tesla vs Everyone

How to get AI Products Built

Use the Crawl-Walk-Run framework to develop trust with customers. Understand common blockers for AI adoption and how to overcome them. Learn the flywheel effects that drive rapid AI adoption. Featured Case Study: reCAPTCHA

How to Drive Customer Adoption of AI

Each module of the course will have a project that constitutes a piece of a wholistic AI strategy. At the end of the two weeks you'll have the first version of your AI Plan ready to put into play.

A Plan for AI in your Business

Master the principles of building impactful AI products in 2 weeks.  Learn core concepts from strategic positioning to driving adoption.

Lightning Lessons

5 ways to use AI in product discovery