insights-repository-kit

Structure the repository into libraries for briefs, raw data, synthesis, decision logs, and assets. Then define a metadata dictionary with required tags for persona, lifecycle, product area, method, confidence, and expiry before adding intake forms.

Tag each artifact with persona, lifecycle stage, product area, research method, confidence level, and expiry date. Required fields in the intake form enforce consistency so search templates and digests can surface relevant past studies.

Enable self-serve discovery through search templates, digest generation, and notification hooks that surface existing findings. Requiring executive summaries and decision logs keeps archived assets actionable for future teams.

Yes, ingestion can be automated from survey tools and recording platforms where integrations exist. Pairing with study execution skills like market landscape or qualitative lab workflows auto-files outputs into the repository.

Without automated ingestion and enforced metadata validation, repositories decay as contributors skip tagging or fail to flag superseded studies. Governance roles and required intake fields mitigate but do not eliminate maintenance overhead.