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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.
Complexitydifferent
HighLowMedium
Timedifferent
30-90 min Setup, danach laufend25-40 min1-2 Wochen
Participantsdifferent
1-81-51-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationLearning Card with evidence and next actionExperiment card, Result summary, Next bet
Tagsno overlap
ForecastingFlowDelivery
ExperimentsValidationDiscoveryLearning
MarketingGrowthExperimentsLearning
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix