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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.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.
Complexitydifferent
MediumHighHighHigh
Timedifferent
3-14 TagePreparation, scenario analysis, and findings review; effort depends on scopeMehrere WochenSeveral meetings plus preparation and analysis; total effort depends on scope
Participantsdifferent
50+Architecture experts and stakeholders for scenarios and weighting2-6 researchers plus sampleEvaluation team, architects, and relevant stakeholders
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations
Tagsno overlap
QuantitativeResearchValidation
ArchitectureChangeAnalysisComparisonQuality
OutcomesInnovationResearchQuantitative
ArchitectureQualityRiskTradeoffsStakeholders
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