Staging environment
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

Roger Jin

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

Chris Quimby

Chris Quimby

Executive Chairman & Managing Partner, ROI International

Previously at Google DeepMind, Amazon

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