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| Criterion | ![]() Growth North Star Metric | ![]() Delivery Cost of Delay | ![]() Growth A/B Testing | ![]() Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 1-2 h | 90-180 min | 1-4 Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 3-8 | 3-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | North Star metric, Input metric tree, Measurement cadence | CoD Table, Prioritization Sequence | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | GrowthMetricsAlignmentRetention | PrioritizationDeliveryEconomicsDecision | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments |



