Research Synthesis Engine with AI
Combine insights from multiple research sources — interviews, surveys, support tickets — into a unified synthesis with patterns and recommendations.
Download Skill File ↓What this skill file teaches Claude
Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.
Multi-source ingestion
Combine interview snapshots, survey responses, support tickets, analytics, and qualitative notes in one synthesis.
Pattern detection
Surface themes that recur across sources — weighted by frequency and source quality.
Contradictions flagged
Where sources disagree, the synthesis calls it out instead of averaging it away.
Actionable recommendations
Each pattern translates into a "what to do about it" with rough effort/impact framing.
Source-linked evidence
Every claim in the synthesis is traceable back to the underlying research artefact.
What you can build with this
After a research sprint
Just finished 8 interviews + a survey + a competitive scan? Synthesise the lot into one strategic doc.
Quarterly research reviews
Look across the quarter's research and find the emerging patterns nobody had bandwidth to notice in the moment.
Build a business case
When you need evidence from multiple channels to justify an investment, synthesis is the wrapper.
Get the full skill file
Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.
Common questions
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