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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Option Framing.
Decision Making
Option Framing
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question.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.
Complexitydifferent
LowLowMediumMedium
Timedifferent
1-2 h30-90 min45-120 min30-90 min
Participantsdifferent
2-82-83-81-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesOption Frames, Assumption Notes, Comparable Shortlist, Decision InputsDecision Tree, Option Map, Assumption List
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
ConstraintsDecisionPlanningOptions
OptionsDecision framingStrategyComparison
DecisionTreeOptions
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