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| Criterion |  Growth A/B Testing |  Operations 5 Whys |  Decision Making Pareto Analysis |
|---|---|---|---|
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 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | High | Low | Low |
Timedifferent | 1-4 Wochen | 15-30 min | 30-60 min |
Participantsdifferent | 1-6 | 2-6 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Root cause notes, Countermeasures | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Root causeIncidentLeanProblem solving | PrioritizationQualityFocusRoot cause |
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