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| Criterion |  Architecture Risk Storming |  Architecture SAAM (Software Architecture Analysis Method) |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | 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 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. | 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. |
Complexitydifferent | Low | High | Low | Medium |
Timedifferent | 60-90 min | Preparation, scenario analysis, and findings review; effort depends on scope | 30-60 min | 1-5 Tage |
Participantsdifferent | 4-12 | Architecture experts and stakeholders for scenarios and weighting | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Annotated Diagram, Prioritized Risk List, Action Backlog | 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 alternatives | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | RiskArchitectureWorkshopValidation | ArchitectureChangeAnalysisComparisonQuality | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |