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| Criterion |  Architecture C4 Model |  UX Research Affinity Diagramming |  Operations Scatter Diagram |  Operations 8D Problem Solving |
|---|---|---|---|---|
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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. |
Complexitydifferent | Low | Low | Low | High |
Timedifferent | 1-4 h | 45–90 min | 30-90 min | 1-6 Wochen |
Participantsdifferent | 1-5 | 3-10 | 1-4 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Theme clusters, Insight statements, Opportunity areas | Scatter Plot, Korrelationsnotiz, Hypothesenliste | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan |
Tagsno overlap | ArchitectureCommunicationVisualization | SynthesisQualitativeRoot cause | Root causeQualityVisualization | QualityProblem solvingRoot cause |