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Criterion
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
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
When a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.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
LowHighLowHigh
Timedifferent
60-90 min2-4 h1-2 hHalf day
Participantsdifferent
4-103-82-83-12
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Problem Cluster, Prioritized Challenge, ExperimentFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsDIBB document, Belief list, Bet list, Learning reportLeverage Map, Action Strategy
Tagsno overlap
FacilitationDecisionProblem solvingWorkshop
Theory of ConstraintsSystems thinkingChange
StrategyDecisionAssumptionsHypothesis
Systems thinkingChangeStrategy
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