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| Criterion |  Growth A/B Testing |  Operations ABC Analysis |  Operations Root Cause Analysis |  Operations Fishbone Diagram |
|---|---|---|---|---|
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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 30-60 min | 1-4 h | 30-60 min |
Participantsdifferent | 1-6 | 1-5 | 3-8 | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | ABC Classification, Focus Rules, Control List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationOperationsPortfolio | Root causeProblem solvingQualityIncident | Root causeQualityOperations |