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Criterion
Gap Analysis method illustration showing its working structure
Business Strategy
GAP Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing.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 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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumHighHighMedium
Timedifferent
1-3 h30-90 min Setup, danach laufend1-4 Wochen45-60 min
Participantsdifferent
2-81-81-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Gap Matrix, Action Plan, Risk NotesForecast Percentiles, Throughput Dataset, Risk CommunicationExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
StrategyAnalysisPlanning
ForecastingFlowDelivery
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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