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commands/launch-in-app-experiments.md

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+---
+name: launch-in-app-experiments
+description: Coordinates in-app experiments targeting activation, expansion, or monetization.
+usage: /product-led-growth:launch-in-app-experiments --surface dashboard --goal activation --variants 3 --guardrails churn,latency
+---
+
+# Command: launch-in-app-experiments
+
+## Inputs
+- **surface** – product area (dashboard, onboarding, billing, collaboration, mobile).
+- **goal** – activation | engagement | monetization | retention.
+- **variants** – number of experiment arms (including control).
+- **guardrails** – comma-separated guardrail metrics to monitor.
+- **audience** – persona/segment targeting (role, plan, region, cohort).
+- **notes** – optional context or risk flags.
+
+## Workflow
+1. **Hypothesis Intake** – capture hypotheses, prior learnings, and success metrics.
+2. **Design Package** – define variant specs, targeting, triggers, and messaging.
+3. **Instrumentation & Guardrails** – ensure events, tracking, and guardrails are wired.
+4. **Launch & Monitoring** – deploy experiment, monitor metrics, trigger alerts.
+5. **Readout Prep** – summarize results, decisions, and follow-up actions.
+
+## Outputs
+- Experiment brief with hypotheses, variants, and instrumentation checklist.
+- Guardrail + monitoring dashboard snapshot.
+- Readout template with decision + rollout recommendation.
+
+## Agent/Skill Invocations
+- `usage-growth-scientist` – leads experiment design + analysis.
+- `product-adoption-strategist` – ensures journey alignment + messaging.
+- `in-app-messaging-kit` skill – generates variant messaging + prompts.
+- `usage-health-scorecard` skill – monitors guardrails + success metrics.
+
+---