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| Criterion |  Architecture C4 Model |  Decision Making Pareto Analysis |  Operations Root Cause Tree 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. | 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. | 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 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 | Low | Medium | Low |
Timedifferent | 1-4 h | 30-60 min | 1-3 h | 30-90 min |
Participantsdifferent | 1-5 | 1-6 | 2-8 | 1-4 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Pareto Chart, Top Causes, Focus List | Cause Tree, Evidence Notes, Countermeasures | Scatter Plot, Korrelationsnotiz, Hypothesenliste |
Tagsno overlap | ArchitectureCommunicationVisualization | PrioritizationQualityFocusRoot cause | Root causeTreeIncidentQuality | Root causeQualityVisualization |