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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 for Dot Estimation.
Facilitation
Dot 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.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.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
MediumMediumLowLow
Timedifferent
30-90 min15-45 min5-20 min30-90 min
Participantsdifferent
1-61-83-202-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListPERT Estimate, Expected Value, Risk NotesEffort Heatmap, Risk Signals, Discussion TargetsConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
DecisionTreeOptions
EstimationUncertaintyRisk
EstimationEffortRisk
ConstraintsDecisionPlanningOptions
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