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Criterion
Paper illustration of VUCA Scan with its method-specific working model.
Systems Thinking
VUCA Scan
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.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
LowHighHigh
Timedifferent
30-90 min30-90 min Setup, danach laufend1-4 Wochen
Participantsdifferent
1-101-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
VUCA Map, Response Options, Signal and Learning PlanForecast Percentiles, Throughput Dataset, Risk CommunicationExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
SensemakingUncertaintyComplexityStrategyForesight
ForecastingFlowDelivery
ForecastingExpertsDecisionStrategy
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Paper illustration for Cynefin Workshop.
Decision Making
Cynefin Workshop
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB