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Claude Code for PMs: Data to Decisions Workflows

Hosted by Caitlin Sullivan

Thu, Mar 19, 2026

1:30 PM UTC (30 minutes)

Virtual (Zoom)

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Claude Code for Customer Insights
Caitlin Sullivan
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What you'll learn

Audit all your customer data with minimal commands

Stop slow, basic synthesis with big holes. See how a system can map your evidence before every product decision - fast.

Find the hidden assumptions that could kill your launch

The riskiest assumptions are the ones your team never wrote down. See how this workflow finds them automatically.

Get a prioritized test plan generated from your data

Don't guess what to validate. My workflow ranks risks and gaps, then builds an expert test plan automatically.

Why this topic matters

PMs who have a pipeline like this - with built-in verification - make better decisions faster than anyone else in the company. I built this workflow sequence to go from "we think users want this" to "here's exactly what we know, what we don't, and how to close the gap" — before a single tiny build or launch is planned all wrong. -> The workflow I wish I had for my Product team years ago.

You'll learn from

Caitlin Sullivan

Ex-Head of UXR at Spotify Business/Soundtrack ᐧ Advisor ᐧ AI Customer Research

Why trust me?


  • Product teams like Maze hire me to fix prompts behind their AI tools—I help them build the functionality that gets customers better AI results.


  • Ex-Head of User Research at embedded in Product—sitting alongside PMs shipping B2B products.


  • Trained 600+ people at Canva, YouTube, Figma, Meta, and more to use AI for analysis they can actually defend in high-stakes decisions. (My previous course is rated 4.8/5)


  • 2000+ hours testing AI for customer insights. 


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