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| Criterion |  Product Discovery Opportunity Solution Tree |  Product Discovery Opportunity Scoring |  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. | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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 | Medium | Low | Low |
Timedifferent | 1-2 h Setup, laufend | 60-120 min | 30–60 min per interview | 30-60 min |
Participantsdifferent | 2-6 | 3-6 | 1 participant per interview | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Opportunity Score Table, Top Outcomes | Interview Notes, Themes, Insight Summary | Completed Experiment Canvas, Success Metric |
Tags1 shared | DiscoveryOutcomesExperimentsOpportunity | PrioritizationDiscoveryOutcomesNeeds | QualitativeResearchCustomerDiscovery | ExperimentsValidationDiscoveryHypothesis |