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| Criterion | ![]() Architecture Architecture Decision Record | ![]() Product Discovery Opportunity Solution Tree | ![]() UX Research User Interviews | ![]() 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. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 | 30–60 min per interview | 30-60 min |
Participantsdifferent | 1-3 | 2-6 | 1 participant per interview | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | ADR File, Decision Log, Rationale | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Themes, Insight Summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ArchitectureRationaleDocumentationGovernance | DiscoveryOutcomesExperimentsOpportunity | QualitativeResearchCustomerDiscovery | ExperimentsValidationDiscoveryHypothesis |



