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| Criterion | ![]() Growth North Star Metric | ![]() Growth Pirate Metrics AARRR | ![]() Product Discovery Riskiest Assumption Test | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | 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. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h | 1-2 h Setup, laufend | 1-2 Wochen pro Iteration | 1-5 Tage |
Participantsdifferent | 3-8 | 2-8 | 2-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | North Star metric, Input metric tree, Measurement cadence | AARRR funnel, Metric baseline, Experiment backlog | Prioritized Assumption List, Test Plan, Results Report | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | GrowthMetricsAlignmentRetention | GrowthMetricsExperiments | ExperimentsValidationDiscoveryAssumptions | ValidationExperimentsDemandDiscovery |



