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| Criterion |  Decision Making Delphi Method |  Growth A/B Testing |  Product Strategy KPI Tree |  Growth North Star Metric |
|---|---|---|---|---|
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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 90-180 min initial, dann laufend | 1-2 h |
Participantsdifferent | 6-30 Experten | 1-6 | 3-8 | 3-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | KPI Tree, Owner List | North Star metric, Input metric tree, Measurement cadence |
Tagsno overlap | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | MetricsStrategyAlignmentMeasurement | GrowthMetricsAlignmentRetention |