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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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.
Complexitydifferent
HighMediumLow
Timedifferent
1-4 Wochen0.5-5 Tage1-2 h
Participantsdifferent
6-30 Experten4-102-8
Formatdifferent
AsyncWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
LeanContinuous improvementOperations
StrategyDecisionAssumptionsHypothesis
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Methods with strong topical overlap with the current selection, not yet in the comparison.

A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk