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| Criterion |  Decision Making Argument Mapping |  UX Research Affinity Diagramming |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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 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 | Medium | Low | Medium | High |
Timedifferent | 1-3 h | 45–90 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-10 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Argument Map, Evidence Gaps, Decision Rationale | Theme clusters, Insight statements, Opportunity areas | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | SensemakingDecisionRationale | SynthesisQualitativeRoot cause | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |