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| Criterion |  Growth A/B Testing |  Decision Making Wideband Delphi |  Product Discovery Smoke Test |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | High | High | Low | High |
Timedifferent | 1-4 Wochen | 1-4 h or multiple rounds | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 1-6 | 4-12 Experten | Nutzertraffic | 6-30 Experten |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Estimate Range, Assumption Log, Expert Consensus Notes | Interest Metrics, Conversion Signal, Learning Note | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | EstimationExpertsForecasting | ValidationExperimentsDemandGrowth | ForecastingExpertsDecisionStrategy |