SKILL

Launch Experiment

Converts an approved hypothesis into a fully-instrumented test with guardrails and rollout plan.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

Command: launch-experiment

Inputs

  • id – experiment or hypothesis identifier.
  • surface – product area/channel (onboarding, pricing page, lifecycle email, in-app).
  • variant-count – number of variants/arms including control.
  • ramp – comma-separated rollout schedule (%) or JSON file reference.
  • holdout – optional holdout/ghost-experiment definition for measurement.
  • notes – free-text for special approvals or exception handling.

Workflow

  1. Readiness Check – confirm design sign-off, instrumentation coverage, and guardrails.
  2. Variant Assembly – pull specs, assets, and targeting rules for each arm.
  3. Rollout Plan – configure flag/experimentation platform with ramp schedule + alerts.
  4. QA & Approvals – run smoke tests, capture screenshots, and gather stakeholder approval.
  5. Launch & Monitoring – activate test, enable telemetry dashboards, and notify channels.

Outputs

  • Launch packet with specs, QA evidence, approvals, and rollout timeline.
  • Experiment platform configuration export + guardrail monitors.
  • Stakeholder announcement + escalation matrix.

Agent/Skill Invocations

  • test-engineer – builds variants, instrumentation, and QA evidence.
  • experimentation-strategist – confirms governance + approvals.
  • guardrail-scorecard skill – validates guardrail coverage + thresholds.
  • experiment-design-kit skill – ensures templates + best practices are applied.

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