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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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
1-4 h or multiple rounds45-90 min30-90 min1-4 Wochen
Participantsdifferent
4-12 Experten2-81-66-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesDecision Matrix, Scoring Rationale, Selected OptionDecision Tree, Option Map, Assumption ListExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationExpertsForecasting
DecisionCriteriaScoringTradeoffs
DecisionTreeOptions
ForecastingExpertsDecisionStrategy
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