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| Criterion |  Operations Scatter Diagram |  Decision Making Risk Matrix |  Operations Fishbone Diagram |  Decision Making Pareto 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 project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | 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. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 30-90 min | 30-60 min | 30-60 min | 30-60 min |
Participantsdifferent | 1-4 | 3-10 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Risk Matrix, Top Risk List | Fishbone Diagram, Cause Categories, Investigation Backlog | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | Root causeQualityVisualization | RiskDecisionPrioritizationAssessment | Root causeQualityOperations | PrioritizationQualityFocusRoot cause |