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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Purposedifferent
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.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
HighLowMediumMedium
Timedifferent
1-4 Wochen1 h bis mehrere Wochen45-60 min1-2 Wochen pro Iteration
Participantsdifferent
1-61-82-82-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeAssumption map, Test backlog, Risk rankingPrioritized Assumption List, Test Plan, Results Report
Tags1 shared
ExperimentsGrowthAnalyticsValidation
Continuous improvementLeanExperiments
AssumptionsRiskExperimentsValidation
ExperimentsValidationDiscoveryAssumptions
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