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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 Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor 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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
LowHighHighHigh
Timedifferent
1-2 h1-4 Wochen2-6 h2-6 h
Participantsdifferent
2-86-30 Experten3-83-10
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption NotesCurrent Reality Tree, Core Problems, Intervention IdeasEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
Systems thinkingRoot causeConstraintsCausality
CausalityIncidentRoot causeTimeline
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