Root Cause Diagnosis

Purpose

Systematically narrow down the root cause of unexpected metric changes by segmenting data, distinguishing internal vs. external factors, and testing hypotheses against observed patterns. Prevents jumping to conclusions and ensures evidence-based decision-making.

When to Use This Skill

Activate automatically when:

• Key metrics drop or spike unexpectedly
• A/B test results show unexpected patterns
• User behavior changes suddenly
• Post-mortem analysis needed after incident
• Leadership asks "what happened?"
• metric-diagnosis workflow investigates metric changes
• Need to validate suspected causes