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| Criterion |  Architecture C4 Model |  Product Discovery Experiment Canvas |  Product Discovery MVP Test Matrix |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | Low | Medium | Medium |
Timedifferent | 1-4 h | 30-60 min | 45-75 min | 1-5 Tage |
Participantsdifferent | 1-5 | 1-5 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Completed Experiment Canvas, Success Metric | Test Matrix, Test Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ArchitectureCommunicationVisualization | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandDiscovery |