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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
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
HighMediumMediumLow
Timedifferent
Preparation, scenario analysis, and findings review; effort depends on scope1-5 Tage1-2 Wochen pro Iteration25-40 min
Participantsdifferent
Architecture experts and stakeholders for scenarios and weightingNutzertraffic2-61-5
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 DecisionPrioritized Assumption List, Test Plan, Results ReportLearning Card with evidence and next action
Tagsno overlap
ArchitectureChangeAnalysisComparisonQuality
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryAssumptions
ExperimentsValidationDiscoveryLearning
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