Analytics Design

Purpose

Design a comprehensive measurement strategy including metrics hierarchy, event taxonomy, funnel instrumentation, and A/B test framework to ensure features can be evaluated with data.

Scope Constraints

Produces measurement plans, event schemas, and experimentation frameworks as documentation artifacts. Does not implement tracking code, configure analytics platforms, or access production data. All outputs are design specifications for engineering implementation.

Inputs

• Feature or product area to instrument
• Business goals and key questions to answer
• Existing analytics infrastructure (tools, event patterns, naming conventions)
• Privacy requirements and data retention policies
• Target user segments for experimentation

Input Sanitization