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| Criterion |  UX Research Tree Testing |  Architecture ARID (Active Reviews for Intermediate Designs) |  UX Research Card Sorting |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | 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 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 | Medium | Medium | Low | High |
Timedifferent | 1-2 Tage | 2–4 h review as a planning range; preparation and evaluation additional | 20-45 min | 1-4 Wochen |
Participantsdifferent | Based on research question | Designers, developers as users, and facilitation | Based on research question | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Content groups, Label set, IA hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | Information architectureNavigationFindability | ArchitectureEngineeringFeedbackValidationTasks | Information architectureNavigationStructure | ExperimentsGrowthAnalyticsValidation |