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| Criterion |  Architecture C4 Model |  UX Research Card Sorting |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 1-4 h | 20-45 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 | Based on research question | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Content groups, Label set, IA hypotheses | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | ArchitectureCommunicationVisualization | Information architectureNavigationStructure | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |