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| Criterion |  Operations Scatter Diagram |  Operations 5 Whys |  Decision Making Pareto 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. | 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. | 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. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 30-90 min | 15-30 min | 30-60 min | 1-3 h |
Participantsdifferent | 1-4 | 2-6 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Root cause notes, Countermeasures | Pareto Chart, Top Causes, Focus List | Cause Tree, Evidence Notes, Countermeasures |
Tags1 shared | Root causeQualityVisualization | Root causeIncidentLeanProblem solving | PrioritizationQualityFocusRoot cause | Root causeTreeIncidentQuality |