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Criterion
Empathy Mapping
UX Research
Empathy Mapping
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Affinity Diagramming
UX Research
Affinity Diagramming
Purposedifferent
When a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.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.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.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.
Complexitydifferent
LowMediumMediumLow
Timedifferent
30–60 min30-90 min1-4 h45–90 min
Participantsdifferent
4-81-63-83-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Empathy Map, Assumptions List, Research GapsDecision Tree, Option Map, Assumption ListProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanTheme clusters, Insight statements, Opportunity areas
Tagsno overlap
SynthesisQualitativeWorkshop
DecisionTreeOptions
Root causeProblem solvingQualityIncident
SynthesisQualitativeRoot cause
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