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| Criterion |  Decision Making Delphi Method |  Product Strategy Counter Metrics |  Growth A/B Testing |  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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | 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 | High | Low | High | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 1-4 Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 6-30 Experten | 2-6 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | ForecastingExpertsDecisionStrategy | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments |