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| Criterion |  Decision Making Wideband Delphi |  Growth Growth Experiment |  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. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 Wochen | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 4-12 Experten | 1-6 | 6-30 Experten | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | Experiment card, Result summary, Next bet | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationExpertsForecasting | MarketingGrowthExperimentsLearning | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation |