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| Criterion | ![]() Product Discovery Opportunity Solution Tree | ![]() Architecture C4 Model | ![]() Architecture Architecture Decision Record | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. | An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable. | 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 | Medium | Low | Low | Medium |
Timedifferent | 1-2 h Setup, laufend | 1-4 h | 15-45 min | 1-5 Tage |
Participantsdifferent | 2-6 | 1-5 | 1-3 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Context Diagram, Container Diagram, Component Diagram | ADR File, Decision Log, Rationale | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | ArchitectureCommunicationVisualization | ArchitectureRationaleDocumentationGovernance | ValidationExperimentsDemandDiscovery |



