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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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.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.
Complexitydifferent
MediumHighMedium
Timedifferent
10-30 min je Item1-4 h or multiple rounds30-90 min
Participantsdifferent
1-84-12 Experten1-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesEstimate Range, Assumption Log, Expert Consensus NotesDecision Tree, Option Map, Assumption List
Tagsno overlap
EstimationUncertaintyForecasting
EstimationExpertsForecasting
DecisionTreeOptions
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Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation