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| Criterion |  UX Research Affinity Diagramming |  Growth A/B Testing |  Operations 5 Whys |  Operations Root Cause 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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Low | High | Low | Medium |
Timedifferent | 45–90 min | 1-4 Wochen | 15-30 min | 1-4 h |
Participantsdifferent | 3-10 | 1-6 | 2-6 | 3-8 |
Formatdifferent | Workshop | Async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |