data-diagnosis

What problem does it solve?

It helps you diagnose whether your metrics system can be trusted to support decisions by checking definition consistency, data quality, coverage gaps, experimentation rigor, self-service readiness, and governance.

Core Features & Use Cases

• Core metric consistency checks: Detect mismatched definitions, unclear calculations, and non-single-source-of-truth metric logic.
• Data reliability diagnostics: Identify collection gaps, duplicates, delays, and pipeline stability risks.
• Decision coverage and experimentation review: Find missing analytical signals and evaluate A/B test infrastructure and statistical reporting practices.
• Self-service vs analyst dependency and governance: Assess whether teams can retrieve answers quickly and whether access/PII/retention controls are in place.

Quick Start

Run the data diagnosis skill to produce a metrics and data-infrastructure diagnostic report for your project.