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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
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
HighMediumLowLow
Timedifferent
30-90 min Setup, danach laufend1-3 h20–45 min30-90 min
Participantsdifferent
1-84-10Small cross-functional group2-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listRisk list, Mitigation plan, Assumption logConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
RiskDecisionFailurePlanning
ConstraintsDecisionPlanningOptions
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