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| Criterion |  Decision Making Argument Mapping |  UX Research Affinity Diagramming |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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 | Medium | Low | High | Low |
Timedifferent | 1-3 h | 45–90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-8 | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Argument Map, Evidence Gaps, Decision Rationale | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | SensemakingDecisionRationale | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |