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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
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
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.Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1-4 Wochen1-3 h1-3 h45-60 min
Participantsdifferent
1-63-122-82-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summarySystem Map, Dependencies, Leverage PointsContext Map, Integration Patterns, Boundary NotesAssumption map, Test backlog, Risk ranking
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Systems thinkingMappingBoundariesChange
Domain-Driven DesignBoundariesStrategy
AssumptionsRiskExperimentsValidation
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