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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for PERT Estimation.
Decision Making
PERT 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.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.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.
Complexitydifferent
MediumLowMedium
Timedifferent
30-90 min5-20 min15-45 min
Participantsdifferent
1-63-201-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListEffort Heatmap, Risk Signals, Discussion TargetsPERT Estimate, Expected Value, Risk Notes
Tagsno overlap
DecisionTreeOptions
EstimationEffortRisk
EstimationUncertaintyRisk
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem