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| Criterion |  UX Research Affinity Diagramming |  Growth A/B Testing |  Operations Failure Mode and Effects Analysis |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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 | Low | High | High | Low |
Timedifferent | 45–90 min | 1-4 Wochen | 2-6 h | 1-5 Tage |
Participantsdifferent | 3-10 | 1-6 | 3-10 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause | ValidationExperimentsDemandGrowth |