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| Criterion |  Operations Scatter Diagram |  Decision Making Pareto Analysis |  Operations Root Cause Analysis |  Operations Root Cause Tree 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 30-90 min | 30-60 min | 1-4 h | 1-3 h |
Participantsdifferent | 1-4 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Pareto Chart, Top Causes, Focus List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Cause Tree, Evidence Notes, Countermeasures |
Tags2 shared | Root causeQualityVisualization | PrioritizationQualityFocusRoot cause | Root causeProblem solvingQualityIncident | Root causeTreeIncidentQuality |