Synthesize Interviews
Pulls themes and actual recommendations from user research notes.
What it does
/synthesize-interviews reads a set of user interview notes or transcripts and produces two things: a theme analysis (what came up repeatedly, with frequency) and a recommendation section (what you should actually do based on what you heard). The recommendation is the part most research synthesis skips.
Most research summaries describe what users said. This skill tells you what to do about it.
When to use it
- After a discovery sprint where you have 8-12 interviews worth of notes
- Before writing a PRD where you need to ground your decisions in user data
- When stakeholders ask "what did users actually say about X"
How to trigger it
Say: synthesize these interviews and paste your notes
Or: synthesize my research on [topic] if you've stored research notes in memory
What you need
Interview notes in any format: bullet points, transcripts, messy text. The skill handles unstructured input. For best results, include participant context (role, company size, how long they've been a customer) so it can break down themes by segment.
Works without integrations. If you have notes stored in a Google Doc, paste the content into the prompt.
Ready to install?
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