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| Criterion |  Decision Making Delphi Method |  Growth A/B Testing |  Growth North Star Metric |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. | 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 1-2 h | 1-2 h Setup, laufend |
Participantsdifferent | 6-30 Experten | 1-6 | 3-8 | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | North Star metric, Input metric tree, Measurement cadence | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | GrowthMetricsAlignmentRetention | GrowthMetricsExperiments |