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Criterion
Quality Attribute Workshop workspace showing the question, observations, and next decision.
Architecture
Quality Attribute Workshop
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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 Quality Attribute Workshop translates quality requirements into concrete scenarios and architecture impulses. The method brings product, engineering, and operations to the same view of desired properties.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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
2-4 h1-4 Wochen1-2 Wochen45-60 min
Participantsdifferent
5-151-61-62-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Quality Scenarios, Priority List, Architecture ConcernsExperiment results, Decision log, Learning summaryExperiment card, Result summary, Next betAssumption map, Test backlog, Risk ranking
Tagsno overlap
RequirementsArchitectureWorkshop
ExperimentsGrowthAnalyticsValidation
MarketingGrowthExperimentsLearning
AssumptionsRiskExperimentsValidation
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