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AI-Fit Survey Template
Validate what matters. Use this survey to assess how well your AI solves real problems and if users see value in it.
Why Fit Comes Before Scale
Before you scale an AI feature, ask: does it solve a painful enough problem? Ravi Mehta's approach focuses on value-first AI. This template helps you test if users see the feature as essential, understand its value, and trust it.
How to Make the Most of the AI-Fit Survey Template
This short video interview with Ravi Mehta goes beyond buzzwords — it gives product teams a sharp lens on what actually makes AI valuable. From spotting the wrong kind of adoption to knowing when AI is embedded deep into the workflow, Ravi’s insights are built on real product experience.
It’s a practical dose of strategy for teams who want to avoid building AI no one uses. Use it to recalibrate your roadmap, rethink your signals, and sharpen your definition of success.
Exclusive advice from for product teams:
1. Use after launching an AI feature
To validate user perception and product-market fit.
2. Ask the trust questions early
Understand blockers like privacy, control, or accuracy.
3. Spot value gaps
Identify if your AI feature solves a real pain or just adds noise.
Next up in Ravi's templates:
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