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| Criterion |  Engineering Fault Isolation |  Architecture C4 Model |  Operations Root Cause Tree Analysis |  Operations Scatter Diagram |
|---|---|---|---|---|
Purposedifferent | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. | The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | 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. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-180 min | 1-4 h | 1-3 h | 30-90 min |
Participantsdifferent | 1-6 | 1-5 | 2-8 | 1-4 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Context Diagram, Container Diagram, Component Diagram | Cause Tree, Evidence Notes, Countermeasures | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | TroubleshootingDiagnosisEngineering | ArchitectureCommunicationVisualization | Root causeTreeIncidentQuality | Root causeQualityVisualization |