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Criterion
Paper illustration for DACI
Decision Making
DACI
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for NoEstimates.
Agile
NoEstimates
Purposedifferent
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.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 estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.
Complexitydifferent
LowHighMedium
Timedifferent
30-60 min30-90 min Setup, danach laufendlaufend
Participantsdifferent
2-101-82-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
DACI Matrix, Decision Owner, Decision LogForecast Percentiles, Throughput Dataset, Risk CommunicationThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
DecisionRolesGovernanceAlignment
ForecastingFlowDelivery
EstimationForecastingFlow
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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 of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method