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Criterion
Paper illustration of Double Diamond with its method-specific working model.
Innovation
Double Diamond
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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
Purposedifferent
For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement.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.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.
Complexitydifferent
MediumLowLowMedium
Timedifferent
Wochen bis Monate30-90 min1-2 h30-90 min
Participantsdifferent
3-122-82-81-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Solution Options, Prototypes, Deliverables per PhaseConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDIBB document, Belief list, Bet list, Learning reportDecision Tree, Option Map, Assumption List
Tagsno overlap
ProcessDivergenceInnovation
ConstraintsDecisionPlanningOptions
StrategyDecisionAssumptionsHypothesis
DecisionTreeOptions
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