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| Criterion |  Operations Scatter Diagram |  Operations Fishbone Diagram |  Decision Making Pareto Analysis |  Operations ABC 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 a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 30-90 min | 30-60 min | 30-60 min | 30-60 min |
Participantsdifferent | 1-4 | 2-8 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Fishbone Diagram, Cause Categories, Investigation Backlog | Pareto Chart, Top Causes, Focus List | ABC Classification, Focus Rules, Control List |
Tagsno overlap | Root causeQualityVisualization | Root causeQualityOperations | PrioritizationQualityFocusRoot cause | PrioritizationOperationsPortfolio |