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| Criterion |  Operations ABC Analysis |  Product Discovery Opportunity Solution Tree |  Product Discovery Opportunity Interview |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. | 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 | Medium | Low |
Timedifferent | 30-60 min | 1-2 h Setup, laufend | 30-60 min je Interview | 30-60 min |
Participantsdifferent | 1-5 | 2-6 | 5-12 Interviews | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Opportunity Themes, Customer Quotes | Completed Experiment Canvas, Success Metric |
Tagsno overlap | PrioritizationOperationsPortfolio | DiscoveryOutcomesExperimentsOpportunity | DiscoveryInterviewsOpportunityCustomer | ExperimentsValidationDiscoveryHypothesis |