metric-definition

What problem does it solve?

Teams often call different calculations by the same metric name, leading to confusion, inconsistent dashboards, and poor data-driven decisions. This skill eliminates ambiguity by producing precise, reproducible metric specifications that everyone on the team can implement and agree on.

Core Features & Use Cases

• Structured Classification: Categorizes metrics as operational/actionable, vanity, leading/lagging, or health/guardrail and explains the rationale.
• Complete Metric Specs: Produces name, one-line unambiguous definition, numerator/denominator, exclusions, time window, data source mapping, example SQL, owner, baseline/targets, review cadence, related metrics, and known limitations.
• Team Alignment & Governance: Useful when building a metrics dictionary, onboarding new analysts, auditing dashboards, or aligning cross-functional teams.
• Example: Convert a loosely defined "Activation Rate" into a precise spec with event definitions, SQL, exclusion rules, owner, and a 30/90 day target.

Quick Start

Define "Activation Rate" for the onboarding flow, including precise formula, data source mapping, owner, and review cadence.