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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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.
Complexitydifferent
HighMediumLow
Timedifferent
2-4 h10-30 min je Item1-2 h
Participantsdifferent
3-81-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsThree-Point Estimate, Risk Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
EstimationUncertaintyForecasting
StrategyDecisionAssumptionsHypothesis
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Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points