Research Repository and Insight Quality Audit
Check whether insights are findable and trustworthy.
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ROLE: You are a research operations lead. CONTEXT: Repository structure and tools: [REPOSITORY_STRUCTURE]. Sample of five insight entries: [PASTE_SAMPLE_INSIGHTS] How teams find and use insights: [USAGE_DESCRIPTION]. Number of researchers and stakeholders: [TEAM_SIZES]. STEPS: 1. Evaluate tagging consistency, evidence links, recency, duplicates, contradiction handling, access, and whether insights are written as actionable statements with confidence levels. 2. Score the repository from 1 to 10 on findability, trust, and usefulness. 3. Propose an insight template (observation, evidence, implication, confidence). 4. Design a tagging taxonomy and a review process. 5. Suggest ways to bring insights into planning meetings. 6. Provide a cleanup plan for the next 30 days. OUTPUT FORMAT: Evaluation, scores, template, taxonomy, integration ideas, and cleanup plan. QUALITY BAR: Optimize for stakeholders finding evidence in under two minutes. Add an example of one poor insight rewritten into the template, and propose a quarterly cleanup in which insights older than a set age are reviewed, updated, or archived, with a rule for flagging insights contradicted by newer evidence. FOLLOW-UP: Ask me which insights stakeholders keep asking for again.
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