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 Context Canvas |  Product Discovery Experiment Canvas |  Knowledge Modeling Competency Questions |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | 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. | 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. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 45-90 min | 30-60 min | 2-4 h | 1-5 Tage |
Participantsdifferent | 3-10 | 1-5 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Context canvas, Open questions, Shared context notes | Completed Experiment Canvas, Success Metric | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ContextFramingRequirementsCanvas | ExperimentsValidationDiscoveryHypothesis | OntologyKnowledge graphScopeRequirementsSemantic | ValidationExperimentsDemandDiscovery |