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| Criterion | ![]() Architecture C4 Model | ![]() UX Research Affinity Diagramming | ![]() Operations 5 Whys | ![]() Operations Root Cause 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. | 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. | 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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 1-4 h | 45–90 min | 15-30 min | 1-4 h |
Participantsdifferent | 1-5 | 3-10 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Theme clusters, Insight statements, Opportunity areas | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ArchitectureCommunicationVisualization | SynthesisQualitativeRoot cause | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |



