/synthesize-learnings

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

BOOST

gtmagents@gtmagents

GitHub

From plugin

gtm-agents

407199 skills200 agents199 commands

Install

$ npx -y skills add gtmagents/gtm-agents --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/synthesize-learnings

Context preview

What this command does when you run it.

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

Command definition

synthesize-learnings.md

name: synthesize-learnings
description: Creates experiment readouts, codifies learnings, and routes follow-up actions.
usage: /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

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.