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| Criterion |  Architecture Architecture Decision Record |  Product Discovery Opportunity Solution Tree |  Architecture C4 Model |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 | Low | Medium | Low | Low |
Timedifferent | 15-45 min | 1-2 h Setup, laufend | 1-4 h | 30-60 min |
Participantsdifferent | 1-3 | 2-6 | 1-5 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | ADR File, Decision Log, Rationale | Opportunity Solution Tree, Experiment Backlog, Learning Log | Context Diagram, Container Diagram, Component Diagram | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ArchitectureRationaleDocumentationGovernance | DiscoveryOutcomesExperimentsOpportunity | ArchitectureCommunicationVisualization | ExperimentsValidationDiscoveryHypothesis |