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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
HighMediumMediumMedium
Timedifferent
30-90 min Setup, danach laufendWochen bis Monate je Lernzyklus45-60 min1-3 h
Participantsdifferent
1-82-82-84-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationHypothesis list, MVPs, Learning reports, Pivot or persevere decisionAssumption map, Test backlog, Risk rankingCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
LeanStartupValidationMVP
AssumptionsRiskExperimentsValidation
LeanFlowWasteDelivery
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