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Criterion
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 Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.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
HighLowMediumMedium
Timedifferent
1-4 Wochen30-90 min1-3 h30-90 min
Participantsdifferent
6-30 Experten2-82-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesCause Tree, Evidence Notes, CountermeasuresDecision Tree, Option Map, Assumption List
Tagsno overlap
ForecastingExpertsDecisionStrategy
ConstraintsDecisionPlanningOptions
Root causeTreeIncidentQuality
DecisionTreeOptions
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