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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration of System Dynamics Simulation with its method-specific working model.
Systems Thinking
System Dynamics Simulation
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.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.System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports.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
LowMediumHighLow
Timedifferent
1-2 h1-3 hMehrere Tage bis Wochen20-45 min
Participantsdifferent
2-82-81-5 Modellierende, Stakeholder asynchron1-10
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportCausal Loop Diagram, Feedback Notes, Leverage PointsSimulation Model, Scenario ReportsBehavior Over Time Graph, Trend Hypotheses, Key Events
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
FeedbackSystems thinkingCausalityDynamics
Systems thinkingDynamicsSimulationAnalysis
Systems thinkingPatternsDynamics
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