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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Affinity Diagramming
UX Research
Affinity Diagramming
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
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 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.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
MediumLowLowLow
Timedifferent
30-90 min45–90 min20–45 min30-90 min
Participantsdifferent
1-63-10Small cross-functional group2-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListTheme clusters, Insight statements, Opportunity areasRisk list, Mitigation plan, Assumption logConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
DecisionTreeOptions
SynthesisQualitativeRoot cause
RiskDecisionFailurePlanning
ConstraintsDecisionPlanningOptions
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