When should I use this Claude Code skill?

Use it when key metrics fluctuate unexpectedly, during incident post-mortems, after A/B tests show surprising results, or whenever leadership requires a data-backed explanation for a metric change.

How does the hypothesis testing phase work?

It uses a pattern-matching table to compare observed data points against predicted impacts of various causes, allowing you to rule out contradictions and identify the most likely root cause.

What is the Metric Diagnosis workflow?

It is a specialized process for Claude Code that helps users systematically investigate why a specific business metric has unexpectedly dropped or spiked using a 4-phase diagnostic framework.

Does this skill help with business strategy?

Yes, it concludes with a North Star alignment phase that evaluates the identified cause's impact on top-line metrics and recommends specific actions based on business severity.

What are the four dimensions of segmentation used in this skill?

The workflow narrows down problems by segmenting data across People (user types), Geography (locations), Technology (platforms/devices), and Time (granular patterns).

Metric Diagnosis Workflow

Name: Metric Diagnosis Workflow
Author: jayhjenkins

byjayhjenkins

•

Productivity & Workflow

Systematically identifies the root cause of unexpected metric changes through multi-dimensional segmentation and evidence-based hypothesis testing.

The Metric Diagnosis Workflow provides a structured, four-phase framework for investigating sudden spikes or drops in key business metrics. By guiding users through 4D segmentation (People, Geography, Technology, and Time) and distinguishing between intrinsic and extrinsic factors, it helps product teams move beyond guesswork to evidence-based root cause identification. This skill is essential for product managers and analysts who need to provide clear, data-backed explanations for performance shifts and align their findings with company-level North Star metrics to determine appropriate response urgency.

Key Features

01North Star metric impact assessment to classify business severity and urgency.

02Standardized reporting format for clear communication with stakeholders and leadership.

03Comprehensive factor analysis distinguishing between internal releases and external market events.

04Structured hypothesis generation and pattern-matching validation via data tables.

051 GitHub stars

06Four-dimensional data segmentation (People, Geography, Technology, Time) to narrow problem scope.

Use Cases

01Analyzing unexpected patterns or anomalies observed during A/B test results.

02Providing a detailed root cause analysis for leadership after a significant metric spike or decline.

03Investigating a sudden drop in Weekly Active Users (WAU) or key conversion funnels.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jayhjenkins/productosv0.2 workflows

For use in Claude.ai and ChatGPT

Download Skill