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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for DACI
Decision Making
DACI
Paper illustration for RAPID
Decision Making
RAPID
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Purposedifferent
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.In complex management decisions, clarity is often missing about who recommends, who agrees, and who makes the decision. RAPID creates this assignment and stabilizes decisions across several levels.When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.
Complexitydifferent
HighLowMediumMedium
Timedifferent
30-90 min Setup, danach laufend30-60 min45-90 minOngoing
Participantsdifferent
1-82-103-122-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationDACI Matrix, Decision Owner, Decision LogRAPID Role Map, Recommendation, Decision LogKanban board, WIP policies, Flow metrics
Tagsno overlap
ForecastingFlowDelivery
DecisionRolesGovernanceAlignment
DecisionRolesGovernance
FlowVisual managementDelivery
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