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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration of Request for Comments (RFC) with its method-specific working model.
Architecture
Request for Comments
Paper illustration for DACI
Decision Making
DACI
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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.An RFC clarifies architecture context, options, and consequences. It structures technical context, alternatives, tradeoffs, open questions, and review feedback, and captures the result as an RFC document, reviewer comments, and a decision rationale.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
HighMediumMediumLow
Timedifferent
30-90 min Setup, danach laufend1-3 h1-3 Wochen vom Draft bis zur Entscheidung30-60 min
Participantsdifferent
1-84-103-20 Reviewer2-10
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listRFC document, Reviewer comments, Decision rationale, Follow-up ADR or ticketsDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
ArchitectureDecisionAsyncGovernance
DecisionRolesGovernanceAlignment
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