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| Criterion |  Decision Making Wideband Delphi |  Agile Affinity Estimation |  Growth A/B Testing |  Decision Making Delphi Method |
|---|---|---|---|---|
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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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 | High | Medium | High | High |
Timedifferent | 1-4 h or multiple rounds | 30-90 min | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 4-12 Experten | 3-12 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | Affinity Size Map, Grouped Estimates, Unclear Items | Experiment results, Decision log, Learning summary | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | EstimationExpertsForecasting | EstimationBacklogRelative sizing | ExperimentsGrowthAnalyticsValidation | ForecastingExpertsDecisionStrategy |