Observed Signal · Feb 13, 2026 · Podcast Episode · Source: Aakash Gupta · Impact: 2/5 · Sentiment: Neutral
Master AI for Efficient User Research with Caitlin Sullivan
Caitlin Sullivan presents a podcast episode and practical guide on AI-powered product discovery, demonstrating step-by-step workflows for analyzing surveys and user interviews using Claude and Claude Code. The episode shows live demos and provides exact prompt templates, a reproducible analysis framework (value anchors, retention assessment, segment deep-dives), and tool recommendations (Otter.ai, Descript, Riverside.fm, Google Sheets). Sullivan explains building “discovery agents” that automate analysis, export structured markdown reports, and persist institutional knowledge via Claude Projects. A meditation-app demo (20+ survey responses and five interviews) illustrates how AI reduces interview analysis from many hours to minutes and supports scenarios like prototype validation, churn analysis, and competitive comparisons. The guide also covers advanced techniques (sentiment/emotion scoring, hypothesis testing, retention-risk scoring, and feature prioritization) and operational considerations for when to automate versus run manual workflows.
Practical, actionable guide showing how LLMs and agents can radically speed qualitative product research; useful to PMs and MarTech teams but not an industry-shifting platform or policy change.
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Key Takeaways & Evidence Grounding
- Caitlin Sullivan is a user research expert who runs courses teaching PMs AI-powered discovery.
- Demonstrated workflow uses Claude and Claude Code to analyze survey spreadsheets and interview transcripts and to generate structured markdown reports.
- Demo dataset comprised a meditation-app study with 20+ survey responses and five interview transcripts.
- Suggested transcription and data tools include Otter.ai, Descript, Riverside.fm, Google Forms/Sheets, and export to markdown for sharing.
- Sullivan claims AI analysis reduces per-interview analysis time from ~30+ minutes to approximately 3–5 minutes (30–50 minutes total for 10 interviews).
Connected Companies & Entities
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