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| Criterion |  Product Discovery Fake Door Test |  Knowledge Modeling Ontology Design Patterns |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 1-5 Tage | 1-3 h pro Pattern | 60-90 min |
Participantsdifferent | Nutzertraffic | 1-6 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Click Data, Interest Signal, Learning Decision | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | ValidationExperimentsDemandDiscovery | OntologyPatternsReuseSemanticModeling | ExperimentsPrioritizationDiscoveryHypothesis |
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