
Synthesize Research
This one's for when you're drowning in interview transcripts, survey responses, or support tickets and need to find the signal. It walks you through thematic analysis and affinity mapping to pull out findings ranked by frequency and impact, then generates a structured synthesis with key insights, user segments, and prioritized recommendations. The methodology section is actually solid, covering triangulation and how to distinguish between what users say they want versus what their behavior shows. Works with pasted notes, uploaded files, or can pull from connected knowledge bases and analytics tools. Most useful when you need to turn a pile of raw feedback into something your PM can actually use for roadmap decisions.
- skills.sh installs
- 3.2K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill synthesize-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
Synthesize Research
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Synthesize user research from multiple sources into structured insights and recommendations.
Usage
/synthesize-research $ARGUMENTS
Workflow
1. Gather Research Inputs
Accept research from any combination of:
- Pasted text: Interview notes, transcripts, survey responses, feedback
- Uploaded files: Research documents, spreadsheets, recordings summaries
- ~~knowledge base (if connected): Search for research documents, interview notes, survey results
- ~~user feedback (if connected): Pull recent support tickets, feature requests, bug reports
- ~~product analytics (if connected): Pull usage data, funnel metrics, behavioral data
- ~~meeting transcription (if connected): Pull interview recordings, meeting summaries, and discussion notes
Sponsors
Details
- Repository
- github.com/anthropics/knowledge-work-plugins
- Categories
- Data Science & ML, Productivity & Planning
- First seen
- Apr 16, 2026
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