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| Criterion |  Agile Ideal Days |  Decision Making Wideband Delphi |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 15-60 min | 1-4 h or multiple rounds | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-9 | 4-12 Experten | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Estimate Range, Assumption Log, Expert Consensus Notes | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | EstimationEffortAgile | EstimationExpertsForecasting | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |