analytics-strategy

# Analytics Strategy Design measurement frameworks that produce decisions, not just dashboards. Stack-agnostic. Tool-agnostic. This skill is for measurement planning. For conversion optimization, use `cro-optimization`. For SEO measurement specifically, use `seo-onpage` and adjacent SEO skills. --- ## When to use - Setting up analytics on a new product or site - Auditing existing analytics setup - Designing dashboards for a team or business - Defining KPIs and a north star metric - Building event taxonomies for product analytics - Designing attribution models for marketing - Translating business questions into measurement plans ## When NOT to use - Conversion testing or optimization (use `cro-optimization`) - SEO performance measurement (use SEO skills) - Pure data infrastructure decisions (different domain) --- ## Required inputs - The business or product context (what does success look like) - The audience for the analytics (who needs to make what decisions) - The current measurement state (existing tools, tracking, gaps) - The questions the team needs to answer --- ## The framework: 4 layers A complete measurement strategy covers all four. Each layer feeds the next. ### 1. North star and KPI hierarchy The single metric that captures the most important outcome, plus the supporting metrics. **North star metric:** - One metric. Singular. - Captures customer-perceived value. - Leads to revenue, but isn't revenue itself (revenue is too far downstream). - Exampl...