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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 Dot Estimation.
Facilitation
Dot Estimation
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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.
Complexitydifferent
MediumLowMediumLow
Timedifferent
30-90 min20–45 min15-45 min5-20 min
Participantsdifferent
1-6Small cross-functional group1-83-20
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logPERT Estimate, Expected Value, Risk NotesEffort Heatmap, Risk Signals, Discussion Targets
Tagsno overlap
DecisionTreeOptions
RiskDecisionFailurePlanning
EstimationUncertaintyRisk
EstimationEffortRisk
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