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Criterion
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 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.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.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.
Complexitydifferent
HighMediumHighHigh
Timedifferent
Preparation, scenario analysis, and findings review; effort depends on scope1-2 WochenSeveral meetings plus preparation and analysis; total effort depends on scope1-4 Wochen
Participantsdifferent
Architecture experts and stakeholders for scenarios and weighting1-6Evaluation team, architects, and relevant stakeholders1-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
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 card, Result summary, Next betPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureChangeAnalysisComparisonQuality
MarketingGrowthExperimentsLearning
ArchitectureQualityRiskTradeoffsStakeholders
ExperimentsGrowthAnalyticsValidation
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