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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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.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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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
MediumMediumLowLow
Timedifferent
30-90 min15-45 min45-90 min5-20 min
Participantsdifferent
1-61-82-83-20
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListPERT Estimate, Expected Value, Risk NotesAssumption List, Critical Assumptions, Learning PlanEffort Heatmap, Risk Signals, Discussion Targets
Tagsno overlap
DecisionTreeOptions
EstimationUncertaintyRisk
AssumptionsRiskDecisionDiscovery
EstimationEffortRisk
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