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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Cynefin Workshop.
Decision Making
Cynefin Workshop
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 an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic.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
LowMediumHighLow
Timedifferent
1 h bis mehrere Wochen60-180 min1-4 Wochen1-2 h
Participantsdifferent
1-84-206-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeCynefin Map, Domain-specific Actions, Sensemaking NotesExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Continuous improvementLeanExperiments
ComplexitySensemakingDecision
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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