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| Criterion |  Decision Making Decision Tree |  Architecture C4 Model |  Operations Root Cause Tree Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-90 min | 1-4 h | 1-3 h | 1-4 h |
Participantsdifferent | 1-6 | 1-5 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Context Diagram, Container Diagram, Component Diagram | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | DecisionTreeOptions | ArchitectureCommunicationVisualization | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |