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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
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Behavior Over Time Graph.
Systems Thinking
Behavior Over Time Graph
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 Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.A Behavior Over Time Graph shows how a metric or observation develops over time. The method makes trends, breaks, and recurring patterns visible that get lost in snapshots.
Complexitydifferent
LowHighMediumLow
Timedifferent
1-2 h1-4 Wochen1-3 h20-45 min
Participantsdifferent
2-86-30 Experten2-81-10
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption NotesCausal Loop Diagram, Feedback Notes, Leverage PointsBehavior Over Time Graph, Trend Hypotheses, Key Events
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
FeedbackSystems thinkingCausalityDynamics
Systems thinkingPatternsDynamics
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