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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
HighLowLowMedium
Timedifferent
30-90 min Setup, danach laufend45-90 min25-40 min1-2 Wochen pro Iteration
Participantsdifferent
1-82-81-52-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationAssumption List, Critical Assumptions, Learning PlanLearning Card with evidence and next actionPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
ForecastingFlowDelivery
AssumptionsRiskDecisionDiscovery
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryAssumptions
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