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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Decision Framing Workshop.
Decision Making
Decision Framing Workshop
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.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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 a decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1-4 h or multiple rounds45-90 min30-90 min60-120 min
Participantsdifferent
4-12 Experten2-81-64-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesDecision Matrix, Scoring Rationale, Selected OptionDecision Tree, Option Map, Assumption ListDecision Frame, Decision Question, Criteria List, Evidence Plan
Tagsno overlap
EstimationExpertsForecasting
DecisionCriteriaScoringTradeoffs
DecisionTreeOptions
Decision framingAlignmentCriteriaOptions
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