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| Criterion |  Decision Making Delphi Method |  UX Research Affinity Diagramming |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | High | Low | High | Low |
Timedifferent | 1-4 Wochen | 45–90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 6-30 Experten | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ForecastingExpertsDecisionStrategy | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |