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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.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.
Complexitydifferent
MediumHighHigh
Timedifferent
10-30 min je ItemHalf day30-90 min Setup, danach laufend
Participantsdifferent
1-83-121-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesLeverage Map, Action StrategyForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationUncertaintyForecasting
Systems thinkingChangeStrategy
ForecastingFlowDelivery
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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 of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree