root-cause-diagnosis

What problem does it solve?

Root cause diagnosis provides a systematic method to identify why metrics change unexpectedly by applying 4-dimension segmentation (People, Geography, Technology, Time), differentiating intrinsic vs extrinsic factors, and using a hypothesis table to evaluate potential causes.

Core Features & Use Cases

• 4-D segmentation guidelines to narrow down affected segments by People, Geography, Technology, and Time.
• Intrinsic vs Extrinsic factor analysis to distinguish internal changes from external events.
• Hypothesis Table Method to structure, predict, and test multiple causes against observed data.
• Stakeholder consultation and evidence-gathering workflow to support root cause resolution.

Quick Start

Run root-cause-diagnosis on the latest metric incident to surface the top 2-3 suspected causes and generate a hypothesis table.