How does it help avoid vanity metrics?

The skill specifically flags the tracking of volume without quality or retention as an anti-pattern, steering users toward actionable metrics that truly reflect product health.

How does this skill help differentiate between correlation and causation?

The skill provides a framework for investigating metric changes and emphasizes using cohort analysis and controlled experiments to validate drivers of behavior rather than assuming cause from simple correlation.

What is the benefit of a metrics hierarchy?

A hierarchy connects your high-level 'North Star' goal to the daily operational tasks and diagnostic data, ensuring that every technical metric tracked actually contributes to business success.

Can I use this skill to plan A/B tests?

Yes, it generates experiment plans that include specific success criteria, baseline performance, data collection methods, and review cadences to ensure scientific rigor.

Data Storytelling & Analytics

Name: Data Storytelling & Analytics
Author: sethdford

bysethdford

•

Analytics & Monitoring

Transforms raw product data into actionable insights through structured metrics frameworks and rigorous experimentation planning.

The Data Storytelling skill provides product managers and developers with a robust framework for measuring product performance and user behavior. It streamlines the creation of metrics hierarchies—connecting high-level North Star goals to operational and diagnostic data—ensuring teams focus on leading indicators that predict future success rather than just lagging business results. By incorporating cohort analysis and data-informed decision-making patterns, this skill helps teams avoid the trap of vanity metrics and provides clear roadmaps for investigating metric shifts and validating product hypotheses.

Key Features

01Defined metrics hierarchies from Strategic to Diagnostic levels

02Cohort analysis and experimentation velocity frameworks

039 GitHub stars

04Predictive leading indicator identification and tracking

05Baseline establishment and target-setting guidance

06Root cause investigation for metric fluctuations

Use Cases

01Auditing existing dashboards to remove vanity metrics and focus on retention

02Creating a comprehensive measurement framework for a new product launch

03Designing an A/B testing plan with clear success criteria and review cadences

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sethdford/claude-skills data-storytelling

For use in Claude.ai and ChatGPT

Key Features

01Defined metrics hierarchies from Strategic to Diagnostic levels

02Cohort analysis and experimentation velocity frameworks

039 GitHub stars

04Predictive leading indicator identification and tracking

05Baseline establishment and target-setting guidance

06Root cause investigation for metric fluctuations

Use Cases

01Auditing existing dashboards to remove vanity metrics and focus on retention

02Creating a comprehensive measurement framework for a new product launch

03Designing an A/B testing plan with clear success criteria and review cadences

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sethdford/claude-skills data-storytelling

For use in Claude.ai and ChatGPT