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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Root Cause Analysis.
Operations
Root Cause 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.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.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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
HighMediumHighMedium
Timedifferent
1-4 Wochen1-3 h1-4 h or multiple rounds1-4 h
Participantsdifferent
6-30 Experten2-84-12 Experten3-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesCause Tree, Evidence Notes, CountermeasuresEstimate Range, Assumption Log, Expert Consensus NotesProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
ForecastingExpertsDecisionStrategy
Root causeTreeIncidentQuality
EstimationExpertsForecasting
Root causeProblem solvingQualityIncident
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