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Criterion
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
HighHighMediumLow
Timedifferent
Preparation, scenario analysis, and findings review; effort depends on scope1-4 Wochen45-75 min30-60 min
Participantsdifferent
Architecture experts and stakeholders for scenarios and weighting1-62-81-5
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Domain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesExperiment results, Decision log, Learning summaryTest Matrix, Test PlanCompleted Experiment Canvas, Success Metric
Tagsno overlap
ArchitectureChangeAnalysisComparisonQuality
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryOptions
ExperimentsValidationDiscoveryHypothesis
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