Command: synthesize-learnings

command

Creates experiment readouts, codifies learnings, and routes follow-up actions.

# 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
1. **Data Consolidation** – assemble final metrics, guardrail outcomes, and qualitative notes.
2. **Insight Extraction** – group learnings by hypothesis theme, persona, or funnel stage.
3. **Decision Encoding** – record win/ship, iterative, or archive outcomes plus rationale.
4. **Action Routing** – create follow-up stories, backlog items, or automation triggers.
5. **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-library` skill – indexes learnings against taxonomy.
- `experiment-design-kit` skill – suggests iteration ideas based on patterns.

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Download .md

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-library skill – indexes learnings against taxonomy.
experiment-design-kit skill – suggests iteration ideas based on patterns.