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Criterion
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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
For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together.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.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
MediumHighMediumLow
Timedifferent
Ongoing1-4 WochenAs needed1-2 h
Participantsdifferent
2-206-30 Experten4-152-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Chat Transcript, Action Log, AutomationsExpert Forecast, Consensus Range, Assumption NotesIncident Log, Action Tracker, Stakeholder UpdatesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
CollaborationEngineeringIncident
ForecastingExpertsDecisionStrategy
IncidentOperationsReliability
StrategyDecisionAssumptionsHypothesis
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