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| Criterion | ![]() UX Research Diary Study | ![]() Decision Making Decision Tree | ![]() Operations MORT Analysis | ![]() Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-4 Wochen | 30-90 min | Mehrere Tage bis Wochen | 1-3 h |
Participantsdifferent | 5-20 | 1-6 | 2-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Decision Tree, Option Map, Assumption List | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | UX researchTrackingBehavior | DecisionTreeOptions | Root causeSafetySystemicIncident | Root causeTreeIncidentQuality |



