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| Criterion |  Agile Affinity Estimation |  Decision Making Wideband Delphi |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | 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 | Medium | High | High | Low |
Timedifferent | 30-90 min | 1-4 h or multiple rounds | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-12 | 4-12 Experten | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Estimate Range, Assumption Log, Expert Consensus Notes | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationExpertsForecasting | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |