View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Knowledge Modeling Competency Questions |  Product Discovery Fake Door Test |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | 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. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 60-90 min | 2-4 h | 1-5 Tage | 45-75 min |
Participantsdifferent | 3-8 | 2-8 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Click Data, Interest Signal, Learning Decision | Test Matrix, Test Plan |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | OntologyKnowledge graphScopeRequirementsSemantic | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryOptions |