Can it help design A/B test plans?

Yes, it includes instructions for creating structured experiment plans with baselines, targets, and clear success criteria.

What is the primary output of this skill?

The skill generates a comprehensive metrics framework or experiment plan including definitions, targets, collection methods, and review cadences.

How does this skill help with product-led growth?

It provides frameworks for identifying North Star metrics and leading indicators that predict long-term user retention and business value.

Is this skill grounded in specific industry standards?

Yes, it is grounded in standards such as AIPMM, SWEBOK, and best practices from Lean Analytics and Inspired.

What are the anti-patterns included in this skill?

It warns against tracking vanity metrics, over-tracking too many data points, and failing to investigate the underlying causes of metric shifts.

Cohort Analysis & Product Metrics

Name: Cohort Analysis & Product Metrics
Author: sethdford

bysethdford

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Analytics & Monitoring

Measures product performance and customer behavior to drive data-informed decisions through structured metrics frameworks and experimentation plans.

This skill empowers product managers and developers to implement robust analytics frameworks by defining success metrics, identifying leading indicators, and establishing clear baselines for product performance. It facilitates the creation of cohort analysis models and experiment plans grounded in industry standards like AIPMM and SWEBOK, helping teams distinguish between causation and correlation while avoiding common pitfalls like vanity metrics or metric dilution. By providing a structured approach to tracking specific user groups over time, it ensures that product decisions are backed by rigorous data and clear success criteria.

Key Features

01Defining strategic, operational, and diagnostic metrics hierarchies

02Designing cohort analysis frameworks to track user groups over time

03Mitigating anti-patterns such as vanity metrics and measurement dilution

04Developing experiment plans with clear success criteria and review cadences

059 GitHub stars

06Identifying leading indicators to predict future product success

Use Cases

01Evaluating the impact of a new feature launch using defined success criteria

02Refining a product's North Star metric and its supporting diagnostic indicators

03Setting up a long-term retention study using cohort analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sethdford/claude-skills cohort-analysis

For use in Claude.ai and ChatGPT

Key Features

01Defining strategic, operational, and diagnostic metrics hierarchies

02Designing cohort analysis frameworks to track user groups over time

03Mitigating anti-patterns such as vanity metrics and measurement dilution

04Developing experiment plans with clear success criteria and review cadences

059 GitHub stars

06Identifying leading indicators to predict future product success

Use Cases

01Evaluating the impact of a new feature launch using defined success criteria

02Refining a product's North Star metric and its supporting diagnostic indicators

03Setting up a long-term retention study using cohort analysis