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Criterion
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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
A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.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 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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighHighMediumMedium
Timedifferent
2-6 h1-4 Wochen1-2 Wochen pro Iteration45-60 min
Participantsdifferent
3-81-62-62-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Current Reality Tree, Core Problems, Intervention IdeasExperiment results, Decision log, Learning summaryPrioritized Assumption List, Test Plan, Results ReportAssumption map, Test backlog, Risk ranking
Tagsno overlap
Systems thinkingRoot causeConstraintsCausality
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryAssumptions
AssumptionsRiskExperimentsValidation
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