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Criterion
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 of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Behavior Over Time Graph.
Systems Thinking
Behavior Over Time Graph
Purposedifferent
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.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.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
HighMediumLowLow
Timedifferent
1-4 Wochen1-3 h1-2 h20-45 min
Participantsdifferent
6-30 Experten2-82-81-10
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesCausal Loop Diagram, Feedback Notes, Leverage PointsDIBB document, Belief list, Bet list, Learning reportBehavior Over Time Graph, Trend Hypotheses, Key Events
Tagsno overlap
ForecastingExpertsDecisionStrategy
FeedbackSystems thinkingCausalityDynamics
StrategyDecisionAssumptionsHypothesis
Systems thinkingPatternsDynamics
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