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| Criterion |  Decision Making Delphi Method |  UX Research Affinity Diagramming |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | 1-4 Wochen | 45–90 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 6-30 Experten | 3-10 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Theme clusters, Insight statements, Opportunity areas | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | ForecastingExpertsDecisionStrategy | SynthesisQualitativeRoot cause | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |