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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of MORT Analysis with its method-specific working model.
Operations
MORT Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.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 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
LowLowHighHigh
Timedifferent
45–90 min1-2 TageMehrere Tage bis Wochen2-6 h
Participantsdifferent
3-1010-302-63-10
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasClick Heatmap, Success Rate, Design RecommendationsMORT Worksheets, Findings per Branch, Corrective Actions, Systemic RecommendationsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
SynthesisQualitativeRoot cause
UXNavigationFindabilityValidation
Root causeSafetySystemicIncident
CausalityIncidentRoot causeTimeline
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