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| Criterion |  Architecture C4 Model |  Engineering Fault Isolation |  Operations Root Cause Tree Analysis |  Operations Scatter Diagram |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Low | Medium | Medium | Low |
Timedifferent | 1-4 h | 30-180 min | 1-3 h | 30-90 min |
Participantsdifferent | 1-5 | 1-6 | 2-8 | 1-4 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Cause Tree, Evidence Notes, Countermeasures | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | ArchitectureCommunicationVisualization | TroubleshootingDiagnosisEngineering | Root causeTreeIncidentQuality | Root causeQualityVisualization |