analytics-strategy

1# Analytics Strategy
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3Design measurement frameworks that produce decisions, not just dashboards. Stack-agnostic. Tool-agnostic.
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5This skill is for measurement planning. For conversion optimization, use `cro-optimization`. For SEO measurement specifically, use `seo-onpage` and adjacent SEO skills.
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9## When to use
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11- Setting up analytics on a new product or site
12- Auditing existing analytics setup
13- Designing dashboards for a team or business
14- Defining KPIs and a north star metric
15- Building event taxonomies for product analytics
16- Designing attribution models for marketing
17- Translating business questions into measurement plans
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19## When NOT to use
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21- Conversion testing or optimization (use `cro-optimization`)
22- SEO performance measurement (use SEO skills)
23- Pure data infrastructure decisions (different domain)
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27## Required inputs
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29- The business or product context (what does success look like)
30- The audience for the analytics (who needs to make what decisions)
31- The current measurement state (existing tools, tracking, gaps)
32- The questions the team needs to answer
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35 
36## The framework: 4 layers
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38A complete measurement strategy covers all four. Each layer feeds the next.
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40### 1. North star and KPI hierarchy
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42The single metric that captures the most important outcome, plus the supporting metrics.
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44**North star metric:**
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46- One metric. Singular.
47- Captures customer-perceived value.
48- Leads to revenue, but isn't revenue itself (revenue is too far downstream).
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