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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of VUCA Scan with its method-specific working model.
Systems Thinking
VUCA Scan
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.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 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.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.
Complexitydifferent
MediumLowHighMedium
Timedifferent
1-2 h30-90 min1-4 Wochen45-90 min
Participantsdifferent
3-121-106-30 Experten2-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsVUCA Map, Response Options, Signal and Learning PlanExpert Forecast, Consensus Range, Assumption NotesDecision Matrix, Scoring Rationale, Selected Option
Tagsno overlap
Systems thinkingTradeoffsLeadership
SensemakingUncertaintyComplexityStrategyForesight
ForecastingExpertsDecisionStrategy
DecisionCriteriaScoringTradeoffs
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