Free Lesson
How to Validate AI Product Ideas and Build a Defensible MVP
60 min
Sep 19, 2025 12:00 PM
Virtual (Zoom)
In this video
What you'll learn
The "AI Product Opportunity Canvas"
A proprietary framework to assess AI product ideas, inspired by proven processes from Google and successful AI labs
5-Step Playbook to Land an AI-Native MVP
How to evaluate user problems, craft a compelling AI-native value proposition, design for data and defensibility
Real AI-Native Product Success Cases
How AI product leaders and founders are finding the market niche in industries such as healthcare, legal and finance
How to Build Fast Feedback Loops with User and Human Evals
How to set up tight user feedback loops and leverage Human-in-the-Loop (HITL) as your secret validation weapon
Why this topic matters
93% of US companies plan to increase their AI investments; but 80% of AI projects fail. Countless “cool” demos crash and burn; not because the technology failed, but because they solved the wrong problem. In this lesson, we lay out a proven playbook with 5 tactical steps, each a mindset shift or critical decision point, to validate AI product ideas and build towards defensible MVP.
You'll learn from

Roger Jin
ex-Product Lead @Google DeepMind, 2x Founder, AI Strategy Coach

Chris Quimby
Executive Chairman & Managing Partner, ROI International
Previously at Google DeepMind, Amazon
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