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| Criterion |  Architecture C4 Model |  UX Research Tree Testing |  UX Research Card Sorting |  Architecture Architecture Decision Record |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1-4 h | 1-2 Tage | 20-45 min | 15-45 min |
Participantsdifferent | 1-5 | Based on research question | Based on research question | 1-3 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Findability Metrics, Path Analysis, Revised IA | Content groups, Label set, IA hypotheses | ADR File, Decision Log, Rationale |
Tagsno overlap | ArchitectureCommunicationVisualization | Information architectureNavigationFindability | Information architectureNavigationStructure | ArchitectureRationaleDocumentationGovernance |