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Criterion
Paper illustration of an activity-role table with clear RACI assignments and one highlighted accountable role per activity.
Operations
RACI Matrix
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for DACI
Decision Making
DACI
Purposedifferent
With unclear responsibilities across several roles or areas, the method creates unambiguous accountability logic. It reduces friction because decision, execution, contribution, and information become separately visible.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.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
LowMediumHighLow
Timedifferent
45-90 minlaufend30-90 min Setup, danach laufend30-60 min
Participantsdifferent
2-82-121-82-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
RACI Matrix, Responsibility Map, Decision NotesThroughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk CommunicationDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
RolesResponsibilityGovernanceOperations
EstimationForecastingFlow
ForecastingFlowDelivery
DecisionRolesGovernanceAlignment
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