In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Jay Choi, Chief Executive Officer at Typeform. Typeform is the AI engagement platform trusted by more than 150,000 customers, including 95% of the Fortune 500. Before Typeform, Jay spent seven years as Chief Product Officer and General Manager at Qualtrics, where the company scaled from $100M to over $1B in ARR.

What you'll learn:

Breadth of surface area as a stronger AI moat than depth of use case, and why going broad is the right strategic bet right now
The dual posture Typeform built: a defensive strategy to make their core product impossible to replicate, and an offensive strategy to expand into full customer workflows
Research Flow, their new product that compresses 50 customer interviews from weeks into hours using AI-moderated research
Being model-agnostic from day one, and what they learned when switching models without an observability platform in place
The pricing experiment framework Jay uses: 30 simulations before a single market goes live

Key takeaways:

When AI threatens to commoditize your core product, expanding surface area is a stronger defense than adding AI features to what you already have
Positioning AI capabilities in plain language, not technical terminology, is the difference between adoption and abandonment
Happy churners are a product problem, not a marketing problem: the fix is finding structurally always-on use cases.

Credits:
Host: Carlos Gonzalez de Villaumbrosia
Guest: Jay Choi

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Typeform CEO on Why Breadth Beats Depth as an AI Moat and How to Build a Defensive and Offensive AI Strategy | Jay Choi | E301

The Product Podcast

Typeform CEO on Why Breadth Beats Depth as an AI Moat and How to Build a Defensive and Offensive AI Strategy | Jay Choi | E301