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Criterion
Visual Management workspace showing the question, observations, and next decision.
Operations
Visual Management
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work.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.
Complexitysame
LowLowLow
Timedifferent
Ongoing30-90 min1-2 h
Participantsdifferent
1-202-82-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Visual Board, Status Indicators, Exception CuesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
SignalsOperationsVisual management
ConstraintsDecisionPlanningOptions
StrategyDecisionAssumptionsHypothesis
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method