Analytics

Analytics for Decision Making

This skill structures how to approach analytics implementation by starting with business questions first, then working backward to identify what data needs tracking. It provides frameworks for event taxonomy, property design, and implementation validation.

Highlights

• Start with business context—understand decisions the data will inform before implementing
• Establish consistent naming conventions (object-action format: signup_completed, feature_used)
• Map events, properties, and custom dimensions systematically
• Configure GA4 and Google Tag Manager with proper triggers and variables
• Design UTM strategies for campaign tracking and attribution
• Validate implementations across browsers and devices
• Address privacy requirements and compliance considerations

Measurement Quality

The skill emphasizes data quality over volume: every tracked event should inform an actionable decision. It includes debugging tools, validation checklists, and guidance on common implementation pitfalls. The framework applies to marketing sites, product applications, and integration scenarios, helping teams avoid collecting vanity metrics while ensuring comprehensive tracking of user behavior.