Data Engineering Data Driven Feature

This orchestrates a complete data-driven feature workflow from exploratory analysis through A/B testing and gradual rollout. You get specialized agents at each phase: data scientists run EDA and design experiments with proper power analysis, engineers build instrumentation with Segment or Amplitude, backend devs implement feature flags with LaunchDarkly, and deployment engineers manage traffic allocation. The workflow is thorough, maybe exhaustively so. If you're building features informed by analytics and want structured handoffs between analysis, implementation, and measurement, this gives you the full playbook. If you just need to ship a feature with basic tracking, it's probably overkill.