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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.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.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.
Complexitydifferent
MediumHighLowHigh
Timedifferent
30-90 min2-4 h1-2 hHalf day
Participantsdifferent
1-63-82-83-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsDIBB document, Belief list, Bet list, Learning reportLeverage Map, Action Strategy
Tagsno overlap
DecisionTreeOptions
Theory of ConstraintsSystems thinkingChange
StrategyDecisionAssumptionsHypothesis
Systems thinkingChangeStrategy
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