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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Constraint Analysis.
Decision Making
Constraint 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.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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
LowMediumLowLow
Timedifferent
45–90 min30-90 min20–45 min30-90 min
Participantsdifferent
3-101-6Small cross-functional group2-8
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasDecision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
SynthesisQualitativeRoot cause
DecisionTreeOptions
RiskDecisionFailurePlanning
ConstraintsDecisionPlanningOptions
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