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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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.
Complexitydifferent
HighMediumHighLow
Timedifferent
30-90 min Setup, danach laufend45-60 min1-4 Wochen45-90 min
Participantsdifferent
1-82-81-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summaryAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
ForecastingFlowDelivery
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskDecisionDiscovery
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