Granola: Beyond Notes — 4 Uses for Real Insights
Hosted by Caitlin Sullivan
Wed, Jan 28, 2026
1:30 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
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Go deeper with a course
AI Analysis for PMs: From Feedback Chaos to Decisions in Hours
Caitlin Sullivan
Ex-Head of User Research at Spotify Business, Advisor to AI platforms, Top 100
Wed, Jan 28, 2026
1:30 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
AI Analysis for PMs: From Feedback Chaos to Decisions in Hours
Caitlin Sullivan
Ex-Head of User Research at Spotify Business, Advisor to AI platforms, Top 100
What you'll learn
Before the call: My templates capture the real gems
Templates are the key to good insights with Granola. But most people start a call and let Granola wing it -> Fix that
During the call: A feature that helps you probe better
Granola can do more than transcribe. I'll show you how to use recipes in real-time to ask better questions
After the call: Recipes for synthesis and self-coaching
Get patterns across sessions. Improve your own interview technique. Two post-call uses most people never set up.
Why this topic matters
Most Product people use Granola to capture notes. That's it.
But it can do way more — help you prepare, stay present during calls, synthesize across conversations, even improve your interview skills.
The problem is nobody sets this up. You're talking to customers but leaving insights on the table. This session shows you the full workflow for insights — before, during, and after every call.
You'll learn from
Caitlin Sullivan
Ex-Head of Research at Spotify Business/SYB ᐧ AI Advisor for Customer Insights
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 embedded in Product—sitting alongside PMs shipping to tough B2B audiences. I know how fast feedback piles up, and how hard it is to know what to build from it.
- Trained 450+ 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)
- 1500+ hours testing AI for customer insights.
Trusted by teams and individuals at
By continuing, you agree to Maven's Terms and Privacy Policy.