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| Criterion | ![]() Architecture C4 Model | ![]() DevOps ChatOps | ![]() Operations Scatter Diagram | ![]() 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. | For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together. | 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 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 | 1-4 h | Ongoing | 30-90 min | 1-3 h |
Participantsdifferent | 1-5 | 2-20 | 1-4 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Chat Transcript, Action Log, Automations | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | ArchitectureCommunicationVisualization | CollaborationEngineeringIncident | Root causeQualityVisualization | Root causeTreeIncidentQuality |



