1.6 KiB
1.6 KiB
name, description, usage
| name | description | usage |
|---|---|---|
| synthesize-learnings | Creates experiment readouts, codifies learnings, and routes follow-up actions. | /growth-experiments:synthesize-learnings --source exp-log.db --scope "Q4 funnel" --audience exec |
Command: synthesize-learnings
Inputs
- source – experiment tracker, warehouse table, or analytics workspace.
- scope – filters (timeframe, product area, funnel stage, persona).
- audience – exec | pod | growth-guild | async memo; controls fidelity/tone.
- format – deck | memo | dashboard | loom.
- follow-ups – optional CSV/JSON for linking Jira/Asana action items.
Workflow
- Data Consolidation – assemble final metrics, guardrail outcomes, and qualitative notes.
- Insight Extraction – group learnings by hypothesis theme, persona, or funnel stage.
- Decision Encoding – record win/ship, iterative, or archive outcomes plus rationale.
- Action Routing – create follow-up stories, backlog items, or automation triggers.
- Knowledge Base Update – tag learnings in centralized library with attribution + status.
Outputs
- Executive-ready readout with insights, decisions, and KPIs.
- Learning cards mapped to hypothesis taxonomy + next bets.
- Action log synced to backlog/project tools.
Agent/Skill Invocations
insight-analyst– leads analysis and storytelling.experimentation-strategist– ensures learnings feed roadmap + governance.hypothesis-libraryskill – indexes learnings against taxonomy.experiment-design-kitskill – suggests iteration ideas based on patterns.