Growth Experimentation Platform Setup overview

Builds the experimentation infrastructure enabling systematic growth testing -- selecting and configuring feature-flagging and A/B testing platforms with server-side and client-side SDK integration, designing the experiment lifecycle workflow from hypothesis documentation through statistical analysis and decision recording, establishing sample-size calculators and guardrail metric definitions to prevent degraded user experience during tests, integrating experiment assignment data with analytics pipelines for cohort analysis and long-term impact measurement, creating experiment catalog templates with standardized fields for hypothesis, metrics, audience targeting, and rollout criteria, configuring automated statistical significance alerts and experiment duration monitors, and building experiment results dashboards accessible to product, engineering, and growth stakeholders. Produces experimentation platform architecture guide, experiment template library, and integration runbook. Excludes running specific experiments.