You’re sitting in front of a mountain of raw data—interview transcripts, survey results, and feedback from multiple sources.

Your brain is fried from collecting it all, but the real challenge hasn’t even started yet: turning that pile into clear, actionable insights.

Stakeholders are emailing:

👋 “Where’s the analysis?”

👋 “When can we share this with the team?”

👋 "We need to decide about [product change] NOW."

You look at the clock. It’s later than expected. 🤦

You've been trying to use AI to speed things up, but it gave you results that didn’t feel reliable.

Vague themes, out-of-context quotes, or flat-out fake "user insights."

You have a constant fear that it missed something critical that *you* would have found.

And after all the time spent, you decide to re-do the analysis manually anyway.

Sound familiar?

I’ve been there. 🙋‍♀️

If you’ve felt stuck in endless ChatGPT loops, redoing AI’s work, or wondering if there’s a better way—this is for you.

With the right knowledge and systems, AI stops being such a gamble.

As a result of taking this course, you will cut your analysis time measurably, without sacrificing the quality of your work -

✅ Turn piles of feedback into insights in a fraction of the time.

✅ Prompt AI to deliver results you can stand behind, so you can actually trust it to support you.

✅ Build your own best-fit system for customer research that’s fast, scalable, and repeatable—without sacrificing depth.

✅ Figure out which tools and workflows work best for specific research tasks.

✅ Present findings that capture stakeholders and clients—going beyond themes to opportunities others miss (and written in language that feels like it's just for them).

✅ Have a repeatable, efficient way to vet tools to identify the right ones now and in the future.

✅ Make better use of tools you *already have* in your team, and cases for adopting other tools.

Why trust me?

I've run AI training with teams at FAANG companies and top scale-ups.

My newsletter subscribers from companies like Shopify, Spotify, Lufthansa Airlines, Namecheap and more rely on my AI guidance for their team's decisions.

I've run 400+ hours of tests with 70+ individual AI tools in customer research tasks.

As a result, I’ve cracked what makes the most difference when using AI for research.