| name | hypothesis-library |
| description | Curated repository of experiment hypotheses, assumptions, and historical learnings. |
Hypothesis Library Skill
When to Use
- Capturing new experiment ideas with consistent metadata.
- Referencing past wins/losses before prioritizing the backlog.
- Sharing reusable learnings across pods and channels.
Framework
- Metadata Schema – hypothesis ID, theme, persona, funnel stage, metrics.
- Assumptions Matrix – belief statements, supporting evidence, confidence rating.
- Status Tracking – idea → scoped → running → decided → archived.
- Learning Tags – impact summary, guardrail notes, follow-up ideas.
- Governance Hooks – approvals, owners, review cadence.
Templates
- Intake form for new hypotheses.
- Learning card format (context, result, recommendation).
- Portfolio dashboard summarizing mix by theme/metric.
Tips
- Require at least one supporting data point before moving to prioritization.
- Use consistent tagging so search/filtering works across teams.
- Link to
synthesize-learningsoutputs to keep narratives fresh.