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| Criterion |  UX Research Tree Testing |  Innovation Design Sprint |  UX Research Affinity Diagramming |  UX Research Card Sorting |
|---|---|---|---|---|
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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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. | 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 | Medium | High | Low | Low |
Timedifferent | 1-2 Tage | 4-5 Tage | 45–90 min | 20-45 min |
Participantsdifferent | Based on research question | 5-8 | 3-10 | Based on research question |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Prototype, Test Findings, Decision Rationale | Theme clusters, Insight statements, Opportunity areas | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | Design sprintPrototypeValidationInnovation | SynthesisQualitativeRoot cause | Information architectureNavigationStructure |