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