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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Incident Command workspace showing the question, observations, and next decision.
DevOps
Incident Command
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.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.During an acute incident with several people involved, the method creates a clear leadership and communication structure. It reduces chaos when fast coordination and clean situational awareness are both needed at once.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
HighHighMediumLow
Timedifferent
1-4 Wochen1-4 h or multiple roundsAs needed1-2 h
Participantsdifferent
6-30 Experten4-12 Experten4-152-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesEstimate Range, Assumption Log, Expert Consensus NotesIncident Log, Action Tracker, Stakeholder UpdatesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
EstimationExpertsForecasting
IncidentOperationsReliability
StrategyDecisionAssumptionsHypothesis
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