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| Criterion |  Architecture C4 Model |  Operations Root Cause Tree Analysis |  Decision Making Pareto 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. | 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | 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 | Medium | Low | Low |
Timedifferent | 1-4 h | 1-3 h | 30-60 min | 30-90 min |
Participantsdifferent | 1-5 | 2-8 | 1-6 | 1-4 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Cause Tree, Evidence Notes, Countermeasures | Pareto Chart, Top Causes, Focus List | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | ArchitectureCommunicationVisualization | Root causeTreeIncidentQuality | PrioritizationQualityFocusRoot cause | Root causeQualityVisualization |