stg-extracting-insights

To extract claims for a hypothesis register, you ingest expert sources like books or articles and process them to pull out claims, frameworks, and data points. The system then structures these as tier-labeled insights mapped to specific hypotheses.

The best way to label evidence tiers is to assign T1, T2, or T3 classifications to each extracted claim with justification. This distinguishes behavioral evidence from hypothetical data points to ensure accurate hypothesis mapping.

Yes, you can use this knowledge extraction process on video and podcast sources. It ingests governor-provided multimedia materials and extracts frameworks, warnings, and cited quotes with specific locations for the hypothesis register.

To cite source passages when mapping claims, the system outputs clearly cited quotes with exact locations from the provided materials. This anchors the tier-labeled evidence directly to your Problem, Segment, Unit Economics, or Solution Design hypotheses.

Yes, you need governor-provided expert sources to generate structured insights. The extraction process specifically ingests these designated materials to convert books, articles, videos, or podcasts into tier-labeled claims for your hypothesis register.