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| Criterion |  Decision Making Wideband Delphi |  Growth Pirate Metrics AARRR |  Decision Making Delphi Method |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 1-4 h or multiple rounds | 1-2 h Setup, laufend | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 4-12 Experten | 2-8 | 6-30 Experten | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | AARRR funnel, Metric baseline, Experiment backlog | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationExpertsForecasting | GrowthMetricsExperiments | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation |