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

1. Metadata Schema – hypothesis ID, theme, persona, funnel stage, metrics.
2. Assumptions Matrix – belief statements, supporting evidence, confidence rating.
3. Status Tracking – idea → scoped → running → decided → archived.
4. Learning Tags – impact summary, guardrail notes, follow-up ideas.
5. 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-learnings outputs to keep narratives fresh.