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| Criterion | ![]() UX Research Card Sorting | ![]() UX Research Tree Testing | ![]() Operations Causal Factor Analysis |
|---|---|---|---|
Purposedifferent | 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 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Low | Medium | High |
Timedifferent | 20-45 min | 1-2 Tage | 2-6 h |
Participantsdifferent | Based on research question | Based on research question | 3-10 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Content groups, Label set, IA hypotheses | Findability Metrics, Path Analysis, Revised IA | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Information architectureNavigationStructure | Information architectureNavigationFindability | CausalityIncidentRoot causeTimeline |
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