
Identify and overcome challenges in problem identification by addressing ambiguous and conflicting data. Apply clarification, random sampling, and devil's advocate discussions to prioritize actionable insights amid information overload.
Discover how a clear problem statement drives product discovery with clarity, direction, and evidence. Learn the five components—where, what, who, why, and evidence—and how to apply them.
Explore how Google uses design sprints to drive structured, collaborative, customer-centric solution ideation with rapid prototyping and user testing, while Oracle's reliance on acquisitions risks stifling internal innovation and alignment.
explore the advantages and drawbacks of surveys and interviews for product discovery, and outline iterative surveys to refine insights and support data-driven decisions.
Explore how Pixar and Booking.com validate ideas through planning, prototyping, internal and test feedback, and data-driven A/B testing to reduce risk and drive product success.
Unlock the full potential of product discovery with the power of ChatGPT! This comprehensive course is designed for product managers who want to leverage AI to enhance every stage of the product discovery process. Whether you're a seasoned professional or new to the field, this course will provide you with actionable strategies and practical insights to innovate and deliver successful products.
In this course, you will learn:
Market Research Techniques: Discover how to use AI for secondary research, social listening, and customer feedback analysis. Learn to summarize market research insights, analyze user feedback, and compare competitors’ features to stay ahead in the market.
Problem Definition: Master the art of crafting clear and effective problem statements using tools like the Five Whys and Opportunity Solution Trees. Understand the importance of problem definition in guiding the product development process.
Solution Ideation: Explore various brainstorming techniques and prioritize solutions using AI-driven methods. Learn how to facilitate ideation sessions, encourage innovation, and ensure alignment with user needs and business goals.
Prototyping and Validation: Develop, test, and iterate prototypes efficiently. Understand the goals of prototyping and validation, minimize risks, gather user feedback, validate assumptions, and improve design and UX through systematic testing.
AI Integration in Modern Tools: Discover how modern product management tools integrate AI to enhance workflows. Learn about tools like Unbounce, Dovetail, Figma, Grain, and Notion, and how they can be used in the product discovery process to streamline tasks and improve efficiency.
Levels of AI Support: Understand the different levels of AI support from basic assistance to full autonomy. Learn how to utilize AI for generating ideas, analyzing data, collaborating with teams, and managing the entire product discovery cycle.
By the end of this course, you will have a deep understanding of how to effectively incorporate AI into your product discovery process, enabling you to create innovative and successful products. Join us and transform how you innovate and deliver successful products!