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Criterion
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Architecture Communication Canvas method illustration showing its working structure
Architecture
Architecture Communication Canvas
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.The Architecture Communication Canvas plans architecture communication so the right people receive the right message. The method turns technical complexity into deliberate communication design.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
HighMediumLowHigh
Timedifferent
Several meetings plus preparation and analysis; total effort depends on scope60-120 min1-5 Tage1-4 Wochen
Participantsdifferent
Evaluation team, architects, and relevant stakeholders2-8Nutzertraffic1-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsCommunication Canvas, Stakeholder Messages, Architecture Communication PlanInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureQualityRiskTradeoffsStakeholders
ArchitectureCommunicationStakeholdersCanvas
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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