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-learnings outputs to keep narratives fresh.