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Criterion
Paper illustration for Diary Study.
UX Research
Diary Study
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of MORT Analysis with its method-specific working model.
Operations
MORT Analysis
Paper illustration for Root Cause Tree 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
MediumMediumHighMedium
Timedifferent
1-4 Wochen30-90 minMehrere Tage bis Wochen1-3 h
Participantsdifferent
5-201-62-62-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Diary Entries, Longitudinal Patterns, Experience TimelineDecision Tree, Option Map, Assumption ListMORT Worksheets, Findings per Branch, Corrective Actions, Systemic RecommendationsCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
UX researchTrackingBehavior
DecisionTreeOptions
Root causeSafetySystemicIncident
Root causeTreeIncidentQuality
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