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| Criterion |  Operations Scatter Diagram |  Decision Making Pareto Analysis |  Operations Root Cause Tree Analysis |  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. | 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. | 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. | 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 | Low | Medium | Medium |
Timedifferent | 30-90 min | 30-60 min | 1-3 h | 1-4 h |
Participantsdifferent | 1-4 | 1-6 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Pareto Chart, Top Causes, Focus List | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tags2 shared | Root causeQualityVisualization | PrioritizationQualityFocusRoot cause | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |