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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
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 a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together.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
HighLowMedium
Timedifferent
2-12 Wochen1-2 h30-90 min
Participantsdifferent
3-102-81-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanDIBB document, Belief list, Bet list, Learning reportDecision Tree, Option Map, Assumption List
Tagsno overlap
Continuous improvementQualityProcess improvement
StrategyDecisionAssumptionsHypothesis
DecisionTreeOptions
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Often compared together

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

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis