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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of VUCA Scan with its method-specific working model.
Systems Thinking
VUCA Scan
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.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.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
MediumLowLowMedium
Timedifferent
30-90 min1-2 h30-90 min1-3 h
Participantsdifferent
1-62-81-101-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning reportVUCA Map, Response Options, Signal and Learning PlanArgument Map, Evidence Gaps, Decision Rationale
Tagsno overlap
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
SensemakingUncertaintyComplexityStrategyForesight
SensemakingDecisionRationale
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