SKILL

Hypothesis Library

Curated repository of experiment hypotheses, assumptions, and historical learnings.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

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.

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