Caitlin Sullivan

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Cut through the AI tool flood. This free database maps 140+ AI tools just for customer research in one place— <ul><li>Tagged by task</li><li>with quick differentiators </li><li>and data-storage notes </li></ul> So you can shortlist fast without overwhelm. Grab it if you’re tired of the "did I miss a tool for {task}?" FOMO and trial-and-error. After download, you'll also get my AI Customer Research newsletter to learn to 10x how you use AI for discovery immediately (for free).

140+ AI Tools for Customer Research: Find the Right One Fast

You pasted customer feedback into ChatGPT. It gave you a beautiful summary—five themes, neatly prioritized. And now you're thinking: <ul><li>Is this *everything* - or did it miss something?</li><li>Can I actually present this - or did it make things up?</li></ul> You can't trace the priorities back with certainty.You don't know what the AI ignored. You can't answer "how confident are we?" This cheatsheet gives you 4 approaches and copy-past prompts that fix that—analysis with real counts, cited evidence, and traceable reasoning. More trustworthy insights in 24 hours 👇

The PM's AI Analysis Cheatsheet: Copy-Paste Prompts for Insights You Can Actually Trust

Cut analysis time in half and uncover more powerful insights—without sacrificing quality or trust in your work.

Ex-Head of UXR, Spotify Business/SYB

Ex-Head of User Research, Spotify Business. 1000+ Hours Testing AI for Research.

AI Customer Research Analysis for Designers and Researchers

Principal Service Designer

Senior UX Researcher

Director of Research

UX Researcher

Head of User Research

Independent researcher

Lead User Researcher

Founder

Strategic design consultant 

Design Researcher

‼️ Revamped 2026 Curriculum + format. Price will go up from Feb 1st 2026. Includes content updates from 2 future cohorts! Is this you? You’re sitting in front of a mountain of raw feedback—interview transcripts, survey results, and customer messages 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'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.-I’ve been there, too. 🙋‍♀️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 and becomes an ally you can trust for faster - and more complete analysis.

2026: AI isn't optional. It's a core tool - and most people haven't mastered it.

Learn AI Analysis Systems That Deliver 2-10x Faster

Gain Speed Without Sacrificing Quality

Develop a Partner for Reducing Risk

Uncover Hidden Opportunities + POVs

Run Efficient Tool Experiments

Get Confident About AI Decisions 

You’re expected to deliver actionable insights for product decisions fast, even when research isn't even your "main" job.

You're a Designer, Researcher or Product person spending hours digging through customer input, searching for insights that matter.

You’ve tried AI tools, but the results feel “meh.” Instead of saving time, they create more work -- and you're back to doing it yourself.

You've used AI for feedback before. This is how you actually make it work

Trains teams at YouTube, Canva, Maze +

YouTube

Canva

Spotify

Ramp

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

Most PMs think their AI analysis problem is prompting. It's not. It's thinking. AI doesn't analyze feedback. It mirrors how YOU would analysis feedback - faster, and more confidently. If your analysis instincts are shallow, AI scales that - and makes mistakes bigger, too. This is why most AI-generated insights sound smart but say nothing. "Users want {feature}" can be straight up wrong - even when AI makes it look like there's evidence - unless you know how to push it. 〰️This course does two things for PMs:<ol><li>It rewires how you think about customer evidence — signals that matter, contradictions worth chasing. </li></ol><ul><li>Then it gives you AI systems that operationalize that thinking — so you get defensible insights in hours, not summaries you secretly don't trust.</li></ul> 〰️ 🚀 Bring your own project + tough decisions. You'll finish every week with real insights from your actual data — not practice exercises. Work that moves current decisions forward. 〰️ What you'll leave with:→ Reusable AI workflows for verified insights→ Prompts that catch hidden signals generic prompting misses→ Repeatable systems that always deliver

Build AI analysis systems you can actually bet your roadmap on.

✅ Walk into your roadmap review with evidence that ends the debates

✅ Turn messy feedback into decisions, not obvious "insights" you already knew

✅ Synthesize multiple sources to find hidden signals and craft clear stories

✅  Build repeatable AI analysis systems that save you full workdays

✅  Avoid the dreaded "Oh no, AI made that up!" moment with senior leadership

You've used ChatGPT, Claude, or other LLMs. Ideally, your company has an approved LLM so you can apply lessons with your data immediately.

AI Adoption

You're a PM or similar, responsible for making product decisions based on customer feedback.

Your Role

You have access to customer feedback you want to analyze —or are willing practice with my data.

Testing with Data

You're a PM expected to make evidence-based roadmap decisions on solid discovery -- but you often lack time to be as thorough as you'd like.

You've spent hours digging through feedback to find signal - or cleaning up after AI's bad job at analysis tasks. You need speed + rigor.

You're a CPO / Product leader who wants your team to use reliable AI tactics for decisions based on evidence. Your ROI: Level everyone up.

Synthetic Users That Work: What Most People Miss

Ex-Head of Research at Spotify Business/SYB ᐧ AI Advisor for Customer Insights

You have behavior data, customer calls, surveys... But not all data is right for synthetic users. Know what to use.

Not all data works for synthetic users

Not every research question fits. I'll show you which use cases can deliver real value — and which are a gamble.

Where synthetic users actually work (and where they don't)

Academic studies did specific things most Product teams skip. Learn what, and how to apply it to your own data and setup

What big studies did that you're not replicating

Product Testing with AI: Test-ready Mockups with Nano Banana

Ex-Head of Research at Spotify Business/SYB  ᐧ AI Advisor for Customer Insights

Watch me generate realistic product images live — no design skills, no other tools, no building anything first.

From idea to test-ready mockup in minutes

Most common prompting advice doesn't apply here — I'll show you the exact structure you need for realistic visuals.

How to prompt for Nano Banana and what you MUST include

You'll get my prompts for various use cases — app screens, physical products, packaging and more - use them as templates

Plug-and-play prompts for different mockup types

Claude Code for User Insights: What Chained Agents Can Do

I'll run a live analysis: one agent categorizes, another summarizes, another pulls quotes. See what's possible when agen

DEMO: A multi-agent workflow run end-to-end

Breaking analysis into steps changes  output quality. I'll show you what each agent handles — and why this beats one.

What each agent does (and why the chain matters)

Chained agents aren't for every task. I'll show you use cases where this shines — and when a simpler approach is enough.

Where this approach is worth it (and where it's overkill)

Granola: Beyond Notes — 4 Uses for Real Insights

Templates are the key to good insights with Granola. But most people start a call and let Granola wing it -> Fix that

Before the call: My templates capture the real gems

Granola can do more than transcribe. I'll show you how to use recipes in real-time to ask better questions

During the call: A feature that helps you  probe better

Get patterns across sessions. Improve your own interview technique. Two post-call uses most people never set up.

After the call: Recipes for synthesis and self-coaching

3 Tactics for PMs: Immediately Better AI Analysis

Ex-Head of User Research at Spotify Business/Soundtrack. AI Advisor.

I'll use the same prompt and transcripts across 6 models. See why we get wildly different results and counts - and a fix

Why AI analysis outputs feel so inconsistent — and a fix

Same feedback messages, same prompt, completely different themes. Small additions solve this if you know why.

Categorization that's finally consistent across runs

Most people upload and prompt. I'll show you what to do first — it takes 30 seconds and prevents entirely wrong analyses

Helping AI understand your data before analysis starts

AI Customer Insights: Prompt Fixes + Top LLMs for Analysis

Ex-Head of UXR at Spotify Business/Soundtrack. 550 Hours Testing AI for Insights

I’ll show you how different models perform across parts of the analysis process, so you know exactly which work best.

Demo: What Different Models Do by Default for Analysis

See real examples of "okay" vs expert prompts, and learn how tiny changes lead to clearer, more accurate insights.

Prompt Tweaks That Sharpen Your AI Analysis

Discover simple ways to work with your current LLM’s defaults and quirks for consistently better output.

Caitlin Sullivan

Caitlin Sullivan

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