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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 of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
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 decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.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
LowMediumLowLow
Timedifferent
30–60 min30-90 min60-90 min45–90 min
Participantsdifferent
4-81-64-103-10
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop
Outputdifferent
Empathy Map, Assumptions List, Research GapsDecision Tree, Option Map, Assumption ListProblem Cluster, Prioritized Challenge, ExperimentTheme clusters, Insight statements, Opportunity areas
Tagsno overlap
SynthesisQualitativeWorkshop
DecisionTreeOptions
FacilitationDecisionProblem solvingWorkshop
SynthesisQualitativeRoot cause
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