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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Purposedifferent
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.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
HighMediumMedium
Timedifferent
1-4 h or multiple rounds30-90 min15-45 min
Participantsdifferent
4-12 Experten1-61-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesDecision Tree, Option Map, Assumption ListPERT Estimate, Expected Value, Risk Notes
Tagsno overlap
EstimationExpertsForecasting
DecisionTreeOptions
EstimationUncertaintyRisk
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis