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| Criterion |  Operations 5 Whys |  Growth A/B Testing |  Growth Growth Experiment |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | 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 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. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | Medium | Medium |
Timedifferent | 15-30 min | 1-4 Wochen | 1-2 Wochen | 1-4 h |
Participantsdifferent | 2-6 | 1-6 | 1-6 | 3-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Root cause notes, Countermeasures | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Root causeIncidentLeanProblem solving | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning | Root causeProblem solvingQualityIncident |