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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.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.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
LowHighHighLow
Timedifferent
45-120 min2-4 h1-4 Wochen1-2 h
Participantsdifferent
2-83-86-30 Experten2-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
WasteLeanProcess improvement
Theory of ConstraintsSystems thinkingChange
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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