★ Top-rated course on Maven
AI Analysis for Customer Insights
Learn how to think about AI in the right places in your insights process, apply frameworks that improve output quality in any LLM, build reliable workflows of your own, verify, triangulate multiple data sources, and automate what works with agents.
Rated 4.8/5 from 100 student reviews on Maven. Same course, moving here as a self-paced version.
Coming soon
$850
Sign up and you’ll hear the day it opens, before anyone else.
Students from teams at
Is this you?
You have interview transcripts, survey results and customer messages stacked up from four different sources. Collecting it all wore you out, and the analysis hasn’t started. Stakeholders keep emailing: where’s the analysis, when can we share it, we need to decide about this now.
So you tried AI to move faster, and what came back didn’t hold up. Vague themes. Quotes pulled out of context. Findings no customer ever said. You can’t shake the worry that it missed the one thing you would have caught, so you redo the analysis by hand anyway.
I’ve been there too. With the right instructions and a system around them, AI stops being a gamble. Your analysis gets faster and more complete, and you can show your work.
Where you start
You use AI on customer data, but you don’t fully trust what comes back.
Where you finish
You know how to get insights you can trust from any LLM, in any interface, with workflows you can put together your own way.
This is for you if
You use ChatGPT, Claude or Gemini on customer data and want results you’d defend, plus workflows you can adapt to how you work.
You want to build agent systems in Claude Code. That’s Claude Code for Customer Insights.
You’ll need
- Any AI chat tool (Claude, ChatGPT or Gemini)
- Your own interview or survey data, or the practice data sets included
What you’ll be able to do
Cut your analysis time in half and find stronger insights, without giving up quality or trust in your work.
AI analysis systems that run 2-10x faster
- Repeatable AI workflows that hold up on relevant, reliable insights
- Frameworks for finding where your analysis slows down, and where AI pays off most
- Agents that connect your tools into one multi-step insights workflow
Speed without giving up quality
- AI instruction tactics that pull out the details in an analysis that matter to you
- Instructions that tell AI what you need, so days of tedious work turn into minutes of focused work
- Quality checks placed where they catch the most and cost the least
A partner for reducing risk
- AI that challenges your own assumptions and sharpens your judgment
- Hidden bias caught on both sides, yours and the model’s, before it reaches your findings
- Bias checking as a systematic step that takes minutes, instead of something you do when time allows
Hidden opportunities and a point of view
- Output that goes past thematic synthesis to a stance you can defend
- The opportunities sitting in your data that one person reading alone would miss
Fast tool experiments
- My framework for running consistent experiments with any AI tool
- Benchmark tests you rerun inside free trials, so your read on each tool stays current and stays free
Confidence in your AI decisions
- Hundreds of my experiments on when and how to apply AI to research, so you skip repeating them
- A clear line on which tasks you can drop entirely
- The standing to be the person your team or client asks about AI for customer research
What’s included
- Recorded tutorials
- AI instruction templates, workflows and files
- Synthetic customer data to practice on
- Start any time
What Maven students say
I gained confidence on applying AI, as well as ideas for new areas where AI could be applied. I’ve struggled with some sort of mental bias or imposter syndrome when it comes to heavy AI use, and this course alleviated that.
Great course with lots of content! I’m eager to apply what I’ve learned in my everyday work and can highly recommend the course to anyone looking to upskill themselves in using AI for research.
This course has changed the way I think about using AI in the analysis and synthesis process. I have a lot of experimentation ahead of me to bring my new vision to life, but I’m way ahead of where I was 4 weeks ago.
I loved this course and learnt so much. I found Caitlin’s teaching style to be exactly right for me and enjoyed the level of detail she provided for all the different modules. The course was well structured and well paced.
This course offers a systematic process to structuring qualitative analysis using AI tools. There is a ton of content that covers all manner of things from analysing written interview transcripts and survey responses, to analysing usability test videos.
Really loved the extensive hands-on walkthrough Caitlin provides for different ways to use AI for research analysis.
Get it the day it opens
AI Analysis for Customer Insights is coming soon at $850. Sign up and you’ll hear first.
Questions people ask before joining
How do I know the AI’s findings are right, and that it didn’t miss or make anything up?
Both courses build the checks into the workflow. Every quote gets traced back to the source, you confirm the AI read everything instead of skimming, and you compare the findings against your own notes before anyone builds on them. The AI’s own check counts as a first pass only, because models tend to confirm their own output, even quotes they’ve slightly changed.
Will AI Analysis work with the AI tool my company approved?
Yes. What you learn works in any LLM, including ChatGPT, Claude, Gemini and internal company versions like Microsoft Copilot. Check with your IT or legal team that you’re allowed to put research data into the approved tool.
How much time does it take?
For Claude Code for Customer Insights, plan for about 8–10 hours a week on the core lessons during the two weeks. Bonus lessons stay yours after the cohort, so they can wait. AI Analysis is self-paced: start any time and work through it at your own speed.
I’m a PM or designer, not a researcher. Is this for me?
Yes. AI Analysis is built for anyone who works with customer data, whatever the job title. Past students have been PMs, product designers and UX designers, as well as insights-focused pros.
Which course should I take?
If you want results you can trust from the AI tools you already use, without Claude Code, start with AI Analysis. If you want to turn that into repeatable workflows and agents in Claude Code, take Claude Code for Customer Insights. Still unsure? Email me at caitlin@aicustomerresearch.com and I’ll tell you which one fits.
What’s your refund policy for AI Analysis?
14-day refund. If the course isn’t right for you, email within 14 days of purchase for a full refund. No questions asked. Refunds end course access.
Can I buy seats for my team?
Yes. Course seats are 20% off for 2+ people and 25% off for 10+, and larger teams can book a private cohort. Email me at caitlin@aicustomerresearch.com with your team size and what you want to get out of it.
Something else? Email me at caitlin@aicustomerresearch.com