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| Criterion |  Product Discovery Opportunity Solution Tree |  Architecture Architecture Decision Record |  UX Research User Interviews |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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 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 | Medium | Low | Low | Low |
Timedifferent | 1-2 h Setup, laufend | 15-45 min | 30–60 min per interview | 30-60 min |
Participantsdifferent | 2-6 | 1-3 | 1 participant per interview | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | ADR File, Decision Log, Rationale | Interview Notes, Themes, Insight Summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | ArchitectureRationaleDocumentationGovernance | QualitativeResearchCustomerDiscovery | ExperimentsValidationDiscoveryHypothesis |