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| Criterion |  Operations Scatter Diagram |  Growth A/B Testing |  Operations 5 Whys |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. | 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 | 30-90 min | 1-4 Wochen | 15-30 min | 1-4 h |
Participantsdifferent | 1-4 | 1-6 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Experiment results, Decision log, Learning summary | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Root causeQualityVisualization | ExperimentsGrowthAnalyticsValidation | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |