# How to Do AI-Powered Discovery (Step-by-Step with Live Demo) | Caitlin Sullivan

Page: https://stenobird.com/podcast/the-growth-podcast-6993153/how-to-do-ai-powered-discovery-step-by-step-with-live-demo-caitlin-sullivan
Text version: https://stenobird.com/podcast/the-growth-podcast-6993153/how-to-do-ai-powered-discovery-step-by-step-with-live-demo-caitlin-sullivan.md
Podcast: [The Growth Podcast](https://stenobird.com/podcast/the-growth-podcast-6993153)
Published: 2026-02-13T00:16:50+00:00
Episode link: https://www.news.aakashg.com/p/caitlin-sullivan-podcast
Audio file: https://api.substack.com/feed/podcast/186174368/7b35906145af3b3a62edc864295024ad.mp3
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JSON: https://stenobird.com/v1/public/podcasts/the-growth-podcast-6993153/episodes/how-to-do-ai-powered-discovery-step-by-step-with-live-demo-caitlin-sullivan
Duration seconds: 4360

## Resource

Today’s Episode Discovery might be the most important core PM skill for building great products. But most PMs are unprepared to do discovery in AI . PMs run surveys incorrectly, conduct interviews poorly, and end up with poor insights. Today will give you the roadmap to avoid all those mistakes . Caitlin Sullivan is a user research expert who runs courses teaching PMs how to do AI-powered discovery. And in today’s episode, she shows you exactly how she does it . We’re talking live demos. Step-by-step workflows. Real survey data. Real interview transcripts. This is a masterclass in discovery. The kind that moves the needle. ---- Brought to you by: Maven : Get 15% off Caitlin’s courses with code AAKASHxMAVEN Pendo : The #1 software experience management platform Jira Product Discovery : Plan with purpose, ship with confidence Kameleoon : AI experimentation platform Amplitude : The market-leader in product analytics ---- Key Takeaways: 1. Replicate the human process - Good AI analysis mirrors how experienced researchers work: comb through data first, then synthesize. Never jump straight to "give me themes."2. Use multi-step prompting - Load context in one prompt, run per-participant analysis in the next, then verify. Cramming everything into one prompt degrades quality.3. Code before you count - For surveys, apply inductive coding labels to every response before asking for patterns. Skipping this step leads to miscategorized, unreliable results.4. Always audit AI's work - Force the model to re-check its own analysis. It catches contradictions, overexaggerated intensity ratings, and miscoded responses regularly.5. Claude wins on nuance, Gemini wins on frequency - Claude gives more thorough, complete analysis by default. Gemini surfaces top-frequency themes faster but misse…

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## Transcript

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