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Criterion
Paper illustration for DACI
Decision Making
DACI
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of an activity-role table with clear RACI assignments and one highlighted accountable role per activity.
Operations
RACI Matrix
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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 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.
Complexitydifferent
LowHighLowHigh
Timedifferent
30-60 min30-90 min Setup, danach laufend45-90 min1-4 Wochen
Participantsdifferent
2-101-82-86-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
DACI Matrix, Decision Owner, Decision LogForecast Percentiles, Throughput Dataset, Risk CommunicationRACI Matrix, Responsibility Map, Decision NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionRolesGovernanceAlignment
ForecastingFlowDelivery
RolesResponsibilityGovernanceOperations
ForecastingExpertsDecisionStrategy
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