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| Criterion |  Operations Scatter Diagram |  Decision Making Risk Matrix |  Decision Making Pareto Analysis |  Operations Failure Mode and Effects 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. | 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 process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Low | Low | Low | High |
Timedifferent | 30-90 min | 30-60 min | 30-60 min | 2-6 h |
Participantsdifferent | 1-4 | 3-10 | 1-6 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Risk Matrix, Top Risk List | Pareto Chart, Top Causes, Focus List | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | Root causeQualityVisualization | RiskDecisionPrioritizationAssessment | PrioritizationQualityFocusRoot cause | RiskQualityOperationsRoot cause |