Caitlin Sullivan

Caitlin Sullivan

15.7K Subscribers

Ex-Head of UXR in Product Team - Spotify Business, Advisor, Top 100

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Caitlin Sullivan will turn you into an AI-native insights operator

I was already using AI to get validated customer insights in half the time.

Then I spent months building the systems that made it actually reliable —validated insights, automated workflows, evals that prove what's working.

Now I help PMs, growth leaders, designers, and customer insights teams do the same:

-> Cut through customer data noise, surface real signal, and build insights they can defend in a product decision.

I've stress-tested these systems with teams at YouTube, Canva, Meta, and Figma, and advise companies like Maze on delivering better insights to customers using their tools.

My courses package what I've built into hands-on workflows you can run from day one — so you can skip months of thinking your insights were good enough (and finding out too late they weren't).

Trusted to train these teams in AI discovery:
YouTube
Canva
Figma
Ramp
Meta

Alumni reviews

Josh

Live cohort
Staff Product Researcher · KOHO

Claude Code for Customer Insights

Transformative course that leaps you into the future and gives you a foundational framework to build, innovate, and continue to improve on. Caitlin is excited about tough questions and offers a crazy amount of valuable teaching packed into this one course!

Susannah

Live cohort
Learned a lot!

María

Live cohort
Lead UX Researcher · Playtomic

Claude Code for Customer Insights

Really useful course if you want to stop using AI in random, one-off ways and start building workflows you can actually rely on. It's not a formula you just copy and apply. It helps you shape things around how you already work. The big highlight for me was evals. Learning to set up guardrails and checkpoints so you're not just hoping the output is right made a huge difference.

Ela

Live cohort
UX researcher · HubSpot

Claude Code for Customer Insights

I found this course really helpful, especially for building stronger workflows for data coding, analysis, and reporting. What I liked most was that it wasn’t just about learning individual skills and then figuring out how to use them on your own. There was a real focus on adapting the workflows to how we actually work, which made it feel much more practical. I also found the focus on evaluating AI workflows really useful. That’s something I’ve often felt less confident about knowing whether the output is actually good enough, what to check, and where evaluation should fit into the process. There’s definitely a lot from the course that I’ll keep coming back to.

Tommie

Live cohort
UX Researcher · Docusign

Claude Code for Customer Insights

Caitlin is a great instructor. While the course is quite fast and self-paced, the resources are incredibly useful. They represent the latest cutting-edge techniques for using LLMs for customer research and insight work. Highly recommend this course for anyone who wants practical guidance on how to agentify your research work.