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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of VUCA Scan with its method-specific working model.
Systems Thinking
VUCA Scan
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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.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.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
30-90 min30-90 min1-3 h1-4 Wochen
Participantsdifferent
1-61-101-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListVUCA Map, Response Options, Signal and Learning PlanArgument Map, Evidence Gaps, Decision RationaleExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionTreeOptions
SensemakingUncertaintyComplexityStrategyForesight
SensemakingDecisionRationale
ForecastingExpertsDecisionStrategy
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