analytics-strategy

Defining a north star metric and KPI hierarchy involves converting your business goals into a structured measurement framework that maps secondary metrics directly to your primary product objectives.

Designing an event taxonomy and tracking plan requires systematically categorizing user interactions into a standardized naming convention, creating a comprehensive blueprint for data collection before engineering begins.

Auditing existing dashboards and improving analytics governance involves reviewing current metrics against business goals, identifying redundant or misleading data points, and establishing rules for dashboard ownership and data quality standards.

Yes, you can use a measurement framework to plan analytics for any business context by adapting the KPI hierarchy and event taxonomy to fit specific product goals, user journeys, and operational requirements.

Privacy considerations in an analytics strategy require defining data collection limits, ensuring user consent compliance, and establishing governance policies that protect sensitive information within your tracking plan.