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Criterion
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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
MediumMediumHighLow
Timedifferent
15-45 min30-90 min1-4 h or multiple rounds30-90 min
Participantsdifferent
1-81-64-12 Experten2-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
PERT Estimate, Expected Value, Risk NotesDecision Tree, Option Map, Assumption ListEstimate Range, Assumption Log, Expert Consensus NotesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
EstimationUncertaintyRisk
DecisionTreeOptions
EstimationExpertsForecasting
ConstraintsDecisionPlanningOptions
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