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| Criterion |  UX Research Tree Testing |  Operations MORT Analysis |  UX Research Card Sorting |  Operations Causal Factor Analysis |
|---|---|---|---|---|
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. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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. | 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 | Medium | High | Low | High |
Timedifferent | 1-2 Tage | Mehrere Tage bis Wochen | 20-45 min | 2-6 h |
Participantsdifferent | Based on research question | 2-6 | Based on research question | 3-10 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Content groups, Label set, IA hypotheses | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Information architectureNavigationFindability | Root causeSafetySystemicIncident | Information architectureNavigationStructure | CausalityIncidentRoot causeTimeline |