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| Criterion |  Agile Ideal Days |  Decision Making Wideband Delphi |  Growth A/B Testing |  Decision Making Delphi Method |
|---|---|---|---|---|
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 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 | Low | High | High | High |
Timedifferent | 15-60 min | 1-4 h or multiple rounds | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 2-9 | 4-12 Experten | 1-6 | 6-30 Experten |
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 | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | EstimationEffortAgile | EstimationExpertsForecasting | ExperimentsGrowthAnalyticsValidation | ForecastingExpertsDecisionStrategy |