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| Criterion |  Operations Scatter Diagram |  Operations Root Cause Analysis |  Architecture C4 Model |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
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 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. | 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 30-90 min | 1-4 h | 1-4 h | 1-3 h |
Participantsdifferent | 1-4 | 3-8 | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Context Diagram, Container Diagram, Component Diagram | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | Root causeQualityVisualization | Root causeProblem solvingQualityIncident | ArchitectureCommunicationVisualization | Root causeTreeIncidentQuality |