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Criterion
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
Paper illustration of a Concept Map with concepts and labelled links
Knowledge Modeling
Concept Mapping
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
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.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.Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly.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.
Complexitydifferent
LowLowMediumMedium
Timedifferent
30-90 min1-2 h1-2 h1-3 h
Participantsdifferent
1-102-81-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
VUCA Map, Response Options, Signal and Learning PlanDIBB document, Belief list, Bet list, Learning reportConcept Map, Relationship Labels, Knowledge GapsArgument Map, Evidence Gaps, Decision Rationale
Tagsno overlap
SensemakingUncertaintyComplexityStrategyForesight
StrategyDecisionAssumptionsHypothesis
KnowledgeConceptsMappingSensemaking
SensemakingDecisionRationale
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