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Criterion
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail.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
HighMediumMediumLow
Timedifferent
Preparation, scenario analysis, and findings review; effort depends on scope1-5 Tage3–4 h for initial assessment; preparation and deeper analysis additional30-60 min
Participantsdifferent
Architecture experts and stakeholders for scenarios and weightingNutzertraffic1 or a small team; particularly suitable for 3–4 people1-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + 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 alternativesClick Data, Interest Signal, Learning DecisionLean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checksCompleted Experiment Canvas, Success Metric
Tagsno overlap
ArchitectureChangeAnalysisComparisonQuality
ValidationExperimentsDemandDiscovery
ArchitectureQualityRiskAssessmentLean
ExperimentsValidationDiscoveryHypothesis
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