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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Purposedifferent
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.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.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.
Complexitydifferent
MediumLowMediumLow
Timedifferent
10-30 min je Item1-2 h30-90 min45-90 min
Participantsdifferent
1-82-81-63-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportDecision Tree, Option Map, Assumption ListForce Field Map, Change Levers, Risk Notes
Tagsno overlap
EstimationUncertaintyForecasting
StrategyDecisionAssumptionsHypothesis
DecisionTreeOptions
ChangeDecisionStrategy
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