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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for DACI
Decision Making
DACI
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.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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.
Complexitydifferent
HighHighLow
Timedifferent
1-4 Wochen30-90 min Setup, danach laufend30-60 min
Participantsdifferent
6-30 Experten1-82-10
Formatdifferent
AsyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
ForecastingExpertsDecisionStrategy
ForecastingFlowDelivery
DecisionRolesGovernanceAlignment
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Often compared together

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

Paper illustration of Decision Rights Mapping with its method-specific working model.
Decision Making
Decision Rights Mapping
Paper illustration for RAPID
Decision Making
RAPID
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay