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| Criterion |  Agile Affinity Estimation |  Growth A/B Testing |  Decision Making Wideband Delphi |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Medium | High | High |
Timedifferent | 30-90 min | 1-4 Wochen | 1-4 h or multiple rounds |
Participantsdifferent | 3-12 | 1-6 | 4-12 Experten |
Formatdifferent | Workshop | Async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Experiment results, Decision log, Learning summary | Estimate Range, Assumption Log, Expert Consensus Notes |
Tagsno overlap | EstimationBacklogRelative sizing | ExperimentsGrowthAnalyticsValidation | EstimationExpertsForecasting |
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