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| Criterion |  Operations Scatter Diagram |  Product Discovery Assumption Mapping |  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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | Medium |
Timedifferent | 30-90 min | 45-60 min | 1-4 h |
Participantsdifferent | 1-4 | 2-8 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Assumption map, Test backlog, Risk ranking | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Root causeQualityVisualization | AssumptionsRiskExperimentsValidation | Root causeProblem solvingQualityIncident |
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