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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
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.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.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.
Complexitydifferent
HighLowHighMedium
Timedifferent
30-90 min Setup, danach laufend15-30 min45-90 min1-3 h
Participantsdifferent
1-82-63-104-10
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRoot cause notes, CountermeasuresRanked Backlog, Cost-of-Delay AssumptionsCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
Root causeIncidentLeanProblem solving
LeanEconomicsSequencePrioritization
LeanFlowWasteDelivery
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