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Criterion
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
Empathy Mapping
UX Research
Empathy Mapping
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.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 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.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 min20–45 min30–60 min30-90 min
Participantsdifferent
1-6Small cross-functional group4-82-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logEmpathy Map, Assumptions List, Research GapsConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
DecisionTreeOptions
RiskDecisionFailurePlanning
SynthesisQualitativeWorkshop
ConstraintsDecisionPlanningOptions
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