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| Criterion |  Architecture C4 Model |  UX Research Tree Testing |  Architecture Architecture Decision Record |  UX Research Card Sorting |
|---|---|---|---|---|
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 a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1-4 h | 1-2 Tage | 15-45 min | 20-45 min |
Participantsdifferent | 1-5 | Based on research question | 1-3 | Based on research question |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Findability Metrics, Path Analysis, Revised IA | ADR File, Decision Log, Rationale | Content groups, Label set, IA hypotheses |
Tagsno overlap | ArchitectureCommunicationVisualization | Information architectureNavigationFindability | ArchitectureRationaleDocumentationGovernance | Information architectureNavigationStructure |