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| Criterion |  Architecture C4 Model |  Decision Making Eisenhower Matrix |  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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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 | Low | Medium | Low |
Timedifferent | 1-4 h | 15-30 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 | Eisenhower Matrix, Action List, Delegation Notes | Cause Tree, Evidence Notes, Countermeasures | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | ArchitectureCommunicationVisualization | PrioritizationFocusTasks | Root causeTreeIncidentQuality | Root causeQualityVisualization |