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gh-gtmagents-gtm-agents-plu…/commands/launch-in-app-experiments.md
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name, description, usage
name description usage
launch-in-app-experiments Coordinates in-app experiments targeting activation, expansion, or monetization. /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.