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Criterion
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Purposedifferent
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.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.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.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
LowMediumMediumLow
Timedifferent
30-90 min15-45 min30-90 min5-20 min
Participantsdifferent
2-81-81-63-20
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Constraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesPERT Estimate, Expected Value, Risk NotesDecision Tree, Option Map, Assumption ListEffort Heatmap, Risk Signals, Discussion Targets
Tagsno overlap
ConstraintsDecisionPlanningOptions
EstimationUncertaintyRisk
DecisionTreeOptions
EstimationEffortRisk
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