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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of VUCA Scan with its method-specific working model.
Systems Thinking
VUCA Scan
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 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.The VUCA Scan helps read difficult situations more precisely. Instead of treating unclarity as generally complicated, the method separates fast change, missing knowledge, systemic entanglement, and ambiguous interpretation.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
LowHighLowLow
Timedifferent
1 h bis mehrere Wochen1-4 Wochen30-90 min1-2 h
Participantsdifferent
1-86-30 Experten1-102-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeExpert Forecast, Consensus Range, Assumption NotesVUCA Map, Response Options, Signal and Learning PlanDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Continuous improvementLeanExperiments
ForecastingExpertsDecisionStrategy
SensemakingUncertaintyComplexityStrategyForesight
StrategyDecisionAssumptionsHypothesis
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