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| Criterion |  Growth A/B Testing |  Operations Root Cause Tree Analysis |  Operations Change Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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 problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 45-120 min | 15-30 min |
Participantsdifferent | 1-6 | 2-8 | 2-6 | 2-6 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Cause Tree, Evidence Notes, Countermeasures | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Root cause notes, Countermeasures |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeTreeIncidentQuality | ChangeRoot causeTroubleshootingComparison | Root causeIncidentLeanProblem solving |