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 

Product Designer

‼️ 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.

Never again get stuck with feedback piling up. Use AI Analysis that works - reliable, repeatable processes for customer insights in hours.

Ex-Head of Research, Spotify Business

YouTube

Canva

Spotify

Ramp

Ex-Head of User Research at Spotify Business, Advisor to AI platforms, Top 100

Does this sound familiar?You're drowning in customer feedback—support tickets, NPS comments, interview notes from five different studies—and your next big product decision is in days.You need to turn all of that into a clear recommendation. Yesterday.You've used AI constantly. But it gives you:<ul><li>Generic themes like "users want better UX" (thanks, very helpful)</li><li>Insights you can't trace back to actual quotes</li><li>That nagging feeling you missed something important</li></ul>You end up re-reading everything manually anyway.AI "saved" you zero time.🙋‍♀️ I've been there. Why trust me?1. Ex-Head of User Research at Spotify Business embedded in Product—sitting alongside PMs shipping B2B products. I know how fast feedback piles up.2. Product teams like Maze hire me to fix prompts behind their AI tools—I help them build the functionality that gets customers better results.3. Trained 450+ people at Canva, YouTube, Figma, Meta, and more to use AI for analysis they can actually defend in high-stakes decisions.4. 1000+ hours testing AI for customer insights. I've cracked what actually works for product decisions. I'm teaching my stress-tested tactics in a NEW version of my highly rated course (4.8/5), just for PMs.<hr>

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

✅ 3-10x faster analysis - What took days now takes hours

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

✅ Synthesize multiple sources into 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.

Why Your AI Analysis Keeps Failing: A Live Diagnosis

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

Demoing real examples of broken outputs: quote issues, inconsistent findings—and diagnose exactly why they happen.

3 failure modes behind "AI gave me garbage"

Small wording choices cause wildly different results. I'll break down what's happening so you can spot the problems fast

The prompt mistakes that look fine but ruin everything

Most analysis fails pre-prompting. I'll show you what to do with your data first + why skipping it guarantees bad output

The 30-second fix most people skip entirely

3 Tactics for PMs: Immediately Better AI Analysis

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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