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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Purposedifferent
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.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 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.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.
Complexitydifferent
LowHighMediumMedium
Timedifferent
1-2 h1-4 Wochen1-4 h1-3 h
Participantsdifferent
2-86-30 Experten3-82-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption NotesProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
Root causeProblem solvingQualityIncident
Root causeTreeIncidentQuality
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