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| Criterion |  Operations Scatter Diagram |  Operations Failure Mode and Effects Analysis |  Decision Making Pareto Analysis |  Operations Fishbone Diagram |
|---|---|---|---|---|
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 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. | 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. | 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. |
Complexitydifferent | Low | High | Low | Low |
Timedifferent | 30-90 min | 2-6 h | 30-60 min | 30-60 min |
Participantsdifferent | 1-4 | 3-10 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | FMEA Table, Risk Priority, Mitigation Actions | Pareto Chart, Top Causes, Focus List | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tags2 shared | Root causeQualityVisualization | RiskQualityOperationsRoot cause | PrioritizationQualityFocusRoot cause | Root causeQualityOperations |