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| Criterion |  Operations Scatter Diagram |  Product Discovery Assumption Mapping |  Operations Failure Mode and Effects 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | 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 | Medium | High | Low |
Timedifferent | 30-90 min | 45-60 min | 2-6 h | 30-60 min |
Participantsdifferent | 1-4 | 2-8 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Assumption map, Test backlog, Risk ranking | FMEA Table, Risk Priority, Mitigation Actions | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tagsno overlap | Root causeQualityVisualization | AssumptionsRiskExperimentsValidation | RiskQualityOperationsRoot cause | Root causeQualityOperations |