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Criterion
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit 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.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
MediumMediumHighLow
Timedifferent
Ongoing45-90 min1-4 Wochen1-2 h
Participantsdifferent
2-202-56-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Chat Transcript, Action Log, AutomationsA3 Report, Action Plan, Root Cause AnalysisExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
CollaborationEngineeringIncident
LeanProblem solvingCoachingOperations
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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