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| Criterion |  Operations Scatter Diagram |  Growth A/B Testing |  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. | 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 |
Timedifferent | 30-90 min | 1-4 Wochen | 1-4 h |
Participantsdifferent | 1-4 | 1-6 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Experiment results, Decision log, Learning summary | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Root causeQualityVisualization | ExperimentsGrowthAnalyticsValidation | Root causeProblem solvingQualityIncident |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
