# Analytics Strategy

Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard...

- Repository: https://github.com/rampstackco/claude-skills (1014 stars)
- Category: Design
- License: MIT
- Last updated: 2026-10-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add rampstackco/claude-skills --skill analytics-strategy -g -a claude-code -y`
Codex: `npx skills add rampstackco/claude-skills --skill analytics-strategy -g -a codex -y`
Cursor: `npx skills add rampstackco/claude-skills --skill analytics-strategy -g -a cursor -y`
Gemini CLI: `npx skills add rampstackco/claude-skills --skill analytics-strategy -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add rampstackco/claude-skills`

## Description

Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy. Use this skill whenever the user wants to plan analytics, design dashboards, build event taxonomies, define KPIs, set up tracking, or audit existing measurement. Triggers on analytics strategy, measurement plan, event taxonomy, tracking plan, KPI framework, dashboard design, north star metric, attribution model, conversion tracking, GA4 setup, Mixpanel setup, analytics audit. Also triggers when the user has data but no clear way to use it, or wants to make decisions but doesn't know what to track.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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.

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## 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)

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## 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).
- Examples: weekly active users, completed jobs, revenue-generating sessions, hours of value delivered.

**Underneath the north star, the KPI hierarchy:**

```
North star metric
├── Acquisition KPI (how new users enter)
├── Activation KPI (when new users get value)
├── Engagement KPI (how often users return)
├── Retention KPI (how many stick over time)
└── Monetization KPI (how value translates to revenue)
```

The rest: https://github.com/rampstackco/claude-skills/blob/HEAD/dist/codex/.agents/skills/analytics-strategy/SKILL.md