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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Cynefin Workshop.
Decision Making
Cynefin Workshop
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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 problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic.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
HighMediumHigh
Timedifferent
30-90 min Setup, danach laufend60-180 min1-4 Wochen
Participantsdifferent
1-84-206-30 Experten
Formatdifferent
Workshop + asyncWorkshopAsync
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCynefin Map, Domain-specific Actions, Sensemaking NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
ForecastingFlowDelivery
ComplexitySensemakingDecision
ForecastingExpertsDecisionStrategy
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of VUCA Scan with its method-specific working model.
Systems Thinking
VUCA Scan
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