Insight Synthesiser with AI
Turn scattered customer quotes into strategic insights with patterns, themes, confidence ratings, and recommended actions. Lighter and faster than full multi-source synthesis.
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.
Top 3-5 headline insights
Forces synthesis down to a small set of decision-relevant insights. Each backed by evidence count, not vibes.
Quote tagging and clustering
Every quote tagged by topic, sentiment, persona match, and strength. Clusters surface patterns automatically.
Confidence ratings
Strong / medium / weak per insight based on quote volume and consistency. Honest about what needs more validation.
Surprises and contradictions
Pulls out the things you didn't expect to hear (often the headline) and the places quotes disagree (usually two segments).
Recommended action per insight
Each insight paired with a product / marketing / sales / research action. Stops insights dying in a memo nobody acts on.
Open questions list
The follow-up research the synthesis surfaced, so the next discovery round has a head start.
What you can build with this
Post-sprint synthesis
You ran a discovery sprint, collected 10 interviews, and need 3 headline insights for the Friday stakeholder readout.
Sales-call quote pile
Your AE has 50 call notes in Notion. Find the pattern, surface what marketing and product should know.
Support ticket review
Last quarter's support tickets reveal a pattern nobody noticed. Synthesise them to surface what should change in the product.
Survey free-text analysis
200 survey free-text responses, no time to read them all. Tag and cluster to surface the 3 things people are actually saying.
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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