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| Criterion |  UX Research Affinity Diagramming |  Growth A/B Testing |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|
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. |
Complexitydifferent | Low | High | High |
Timedifferent | 45–90 min | 1-4 Wochen | 2-6 h |
Participantsdifferent | 3-10 | 1-6 | 3-10 |
Formatdifferent | Workshop | Async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | RiskQualityOperationsRoot cause |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
