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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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
HighLowHigh
Timedifferent
1-4 Wochen30-90 min30-90 min Setup, danach laufend
Participantsdifferent
6-30 Experten2-81-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
ForecastingExpertsDecisionStrategy
ConstraintsDecisionPlanningOptions
ForecastingFlowDelivery
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Communication Plan
Delivery
Communication Plan
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree