North Star Metric
Boundary
Choose a focus metric, not a magical universal KPI. Do not prescribe fixed growth rates or public accountability without context.
Required Inputs
- Business model, stage, strategy, and current constraint
- Revenue, retention, engagement, and customer-value evidence
- Candidate metrics, definitions, data quality, and controllability
- Known failure modes and guardrail metrics
Workflow
- State the current strategic question and time horizon.
- Generate candidate metrics that reflect delivered customer value and business health.
- Test candidates for sensitivity, controllability, clarity, durability, and gaming risk.
- Choose one metric and document formula, source, owner, cadence, and exclusions.
- Build a driver tree of actionable inputs and lagging outcomes.
- Add guardrails for quality, retention, economics, safety, or segment harm.
- Set a baseline and evidence-based target range, then define revisit triggers.
Output
- Chosen metric and rationale
- Definition, data source, owner, and cadence
- Driver tree and guardrails
- Baseline, target assumptions, and revisit triggers
Quality Gate
- The metric reflects value, not raw activity.
- Segments cannot hide behind an aggregate.
- Teams can influence drivers without gaming users.
- Target precision matches evidence quality.