Continuous Discovery Habits in the Age of AI

Why generative AI doesn’t replace discovery—it supercharges it.

What if AI didn’t replace your discovery work—but made you radically better at it?

That’s the question I found myself reflecting on after an eye-opening workshop with Zamina Ahmad at Product at Heart in Hamburg this week. It was a fast-paced, hands-on deep dive into how generative AI tools like ChatGPT, Figma AI, and Claude are already reshaping how we do product work—from wireframes to research plans, and everything in between.

Photo by Noble Mitchell on Unsplash

But amid all the hype, I keep returning to a truth Teresa Torres nailed back in 2021: discovery isn’t a phase—it’s a habit. A rhythm. A muscle you build.

And in 2025, that habit is facing a new test.

Some teams are using AI like scaffolding—supporting and stretching their discovery skills. Others are falling into the trap of seeing it as a shortcut, or worse, a replacement.

This post is for the former—or anyone who wants to be. It’s a practical playbook for PMs, designers, and researchers who want to sharpen their discovery habits using AI as a partner, not a crutch.

This post is a practical guide to help PMs, researchers, and designers level up their continuous discovery habits with the help—not replacement—of AI.

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Revisiting: Continuous Discovery

I’m a huge fan of Teresa’s book, Continuous Discovery Habits, where she defines it broadly as: