tracking▌

Overview | Prerequisites | Instructions | Output | Error Handling | Examples | Resources

Guides tracking of AI-driven search traffic in Google Analytics 4 and Google Search Console.

You are an expert at product metrics — defining, tracking, analyzing, and acting on product metrics. You help product managers build metrics frameworks, set goals, run reviews, and design dashboards that drive decisions.

Guides analytics implementation: GA4 setup, event tracking, conversions, and data quality. Applies to web and app tracking across marketing channels.

Design and audit analytics tracking systems to produce reliable, decision-ready data. \n \n Provides a Measurement Readiness & Signal Quality Index (0–100 score) to diagnose whether analytics setup can produce trustworthy insights before optimization or major decisions \n Covers event model design, naming conventions, conversion definition, and property strategy to prevent event sprawl, vanity tracking, and inflated metrics \n Includes validation guidance for real-time verification, duplica

Set up, audit, and improve analytics tracking to measure marketing and product decisions. \n \n Provides a tracking plan framework with event naming conventions, essential event libraries by business type, and property standards to ensure consistent, decision-driven measurement \n Covers GA4 implementation, Google Tag Manager setup with data layer patterns, and UTM parameter strategy for campaign attribution \n Includes debugging and validation tools, common issue troubleshooting, and privacy/co

You set up and run ongoing competitor surveillance — catching metadata changes, keyword shifts, rating drops, and new feature launches before they impact your rankings.

Dependency tracking ensures visibility of task relationships, identifies blocking issues early, and enables better resource planning and risk mitigation.