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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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 for Behavior Over Time Graph.
Systems Thinking
Behavior Over Time Graph
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.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
MediumLowMediumLow
Timedifferent
30-90 min1-2 h1-3 h20-45 min
Participantsdifferent
1-62-82-81-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning reportCausal Loop Diagram, Feedback Notes, Leverage PointsBehavior Over Time Graph, Trend Hypotheses, Key Events
Tagsno overlap
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
FeedbackSystems thinkingCausalityDynamics
Systems thinkingPatternsDynamics
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