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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 Lean Canvas with nine fields, notes, and one highlighted learning risk.
Product Strategy
Lean Canvas
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 an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable.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 Lernzyklus45-90 min1-3 h
Participantsdifferent
1-82-81-64-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationHypothesis list, MVPs, Learning reports, Pivot or persevere decisionLean Canvas, Core Assumptions, Experiment BacklogCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
LeanStartupValidationMVP
StartupLeanAssumptionsBusiness model
LeanFlowWasteDelivery
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