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| Criterion |  Operations ABC Analysis |  Product Discovery Fake Door Test |  Product Discovery Concierge MVP |  Product Discovery Hypothesis Prioritization 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30-60 min | 1-5 Tage | 1-4 Wochen | 60-90 min |
Participantsdifferent | 1-5 | Nutzertraffic | 3-10 Kunden | 3-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | ABC Classification, Focus Rules, Control List | Click Data, Interest Signal, Learning Decision | Concierge Learnings, Service Blueprint, MVP Risks | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | PrioritizationOperationsPortfolio | ValidationExperimentsDemandDiscovery | MVPValidationServiceDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |