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| Criterion |  Architecture C4 Model |  Operations Scatter Diagram |  Operations 5 Whys |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
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. | 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | 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 | Low | Low | Medium |
Timedifferent | 1-4 h | 30-90 min | 15-30 min | 1-3 h |
Participantsdifferent | 1-5 | 1-4 | 2-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Root cause notes, Countermeasures | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | ArchitectureCommunicationVisualization | Root causeQualityVisualization | Root causeIncidentLeanProblem solving | Root causeTreeIncidentQuality |