Lightning Lessons

AI Customer Insights: Prompt Fixes + Top LLMs for Analysis

Hosted by Caitlin Sullivan

994 students

What you'll learn

Demo: What Different Models Do by Default for Analysis

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

Prompt Tweaks That Sharpen Your AI Analysis

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

Get More From the Model You Already Use

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

Why this topic matters

Most people trying to use AI for customer insights work feel stuck: vague summaries, missed signals, and more cleanup than clarity are the norm. But with the right prompt tweaks and model knowledge, AI can become your *partner* (not just an assistant) for deep customer research analysis. I’ll show you the small changes that save me *days* and help surface more actionable, relevant insights.

You'll learn from

Caitlin Sullivan

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

I’ve run 550+ hours of AI tests for customer research, trained teams at FAANG companies, and helped launch products that increased profits by 30%.


I’ve spent 14 years helping time-limited teams crack fast customer research—as a designer, researcher and marketer.


If it’s about making research faster, sharper, and smarter, I’ve done it. Lately, I’m all about bringing AI into the mix.


Learn more about Caitlin's work:

Soundtrack
Google
ManyPets
LEGO®

Go deeper with a course

AI Customer Research Analysis for Designers, Researchers and Product People
Caitlin Sullivan
View syllabus

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