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Criterion
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
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.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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
HighMediumMediumHigh
Timedifferent
Several meetings plus preparation and analysis; total effort depends on scope1-3 h2–4 h review as a planning range; preparation and evaluation additional1-4 Wochen
Participantsdifferent
Evaluation team, architects, and relevant stakeholders1-5Designers, developers as users, and facilitation1-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsFunnel report, Drop-off analysis, Optimization hypothesesPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureQualityRiskTradeoffsStakeholders
AnalyticsConversionGrowth
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsGrowthAnalyticsValidation
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