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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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 Trade-off Analysis.
Decision Making
Trade-off Analysis
Purposedifferent
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.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.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1-4 Wochen45-90 min30-90 min45-120 min
Participantsdifferent
6-30 Experten2-81-62-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesDecision Matrix, Scoring Rationale, Selected OptionDecision Tree, Option Map, Assumption ListTrade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides
Tags1 shared
ForecastingExpertsDecisionStrategy
DecisionCriteriaScoringTradeoffs
DecisionTreeOptions
TradeoffsDecisionCriteriaOptions
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