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| Criterion | ![]() Operations Scatter Diagram | ![]() Architecture C4 Model | ![]() Operations Root Cause Tree Analysis | ![]() Operations 5 Whys |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 30-90 min | 1-4 h | 1-3 h | 15-30 min |
Participantsdifferent | 1-4 | 1-5 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Context Diagram, Container Diagram, Component Diagram | Cause Tree, Evidence Notes, Countermeasures | Root cause notes, Countermeasures |
Tagsno overlap | Root causeQualityVisualization | ArchitectureCommunicationVisualization | Root causeTreeIncidentQuality | Root causeIncidentLeanProblem solving |



