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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
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.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.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.
Complexitydifferent
HighMediumLow
Timedifferent
30-90 min Setup, danach laufend30-90 min45-90 min
Participantsdifferent
1-81-63-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationDecision Tree, Option Map, Assumption ListForce Field Map, Change Levers, Risk Notes
Tagsno overlap
ForecastingFlowDelivery
DecisionTreeOptions
ChangeDecisionStrategy
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay