kata-discovery-synthesis

Product discovery insight synthesis works by reading heterogeneous inputs and transforming each observation into a single traceable insight markdown file under docs/discovery/{topic}/insights/. It enforces traceability via source_refs and uses a canonical front-matter schema to separate Observation, Source, Initial implication, and Open questions without proposing solutions.

The best way to structure messy research notes is to break observations into indivisible units, avoiding mixing multiple pains into one insight. This Skill generates a standardized markdown body with required front-matter, capturing a single observation with source_refs for full traceability across heterogeneous inputs.

Yes, guided source ingestion supports reading heterogeneous inputs from Notion, Figma, GitHub, or local transcripts. It captures evidence from these source_refs to generate structured discovery insights ready for team review.

To generate markdown files with canonical front-matter, ask the Skill to synthesize insights for a specific topic from provided source_refs. It automatically creates the next available numbered insight files in the docs/discovery/{topic}/insights/ directory using the required schema.

No, discovery insight synthesis does not propose solutions. It strictly separates Observation, Source, Initial implication, and Open questions to ensure the output remains an objective, traceable insight ready for manual review.