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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
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
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.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.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
MediumLowMediumLow
Timedifferent
30-90 min20–45 min15-45 min30-90 min
Participantsdifferent
1-6Small cross-functional group1-82-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logPERT Estimate, Expected Value, Risk NotesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
DecisionTreeOptions
RiskDecisionFailurePlanning
EstimationUncertaintyRisk
ConstraintsDecisionPlanningOptions
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