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Criterion
Paper illustration of VUCA Scan with its method-specific working model.
Systems Thinking
VUCA Scan
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.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
LowLowMediumLow
Timedifferent
30-90 min20-45 min1-3 h1-2 h
Participantsdifferent
1-103-121-82-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
VUCA Map, Response Options, Signal and Learning PlanLessons learned, Action items, Event summaryArgument Map, Evidence Gaps, Decision RationaleDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
SensemakingUncertaintyComplexityStrategyForesight
LearningOperationsImprovement
SensemakingDecisionRationale
StrategyDecisionAssumptionsHypothesis
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