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| Criterion |  Decision Making Decision Matrix |  Decision Making Delphi Method |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 | Medium | High | High |
Timedifferent | 45-90 min | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 2-8 | 6-30 Experten | 1-6 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation |
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