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| Criterion |  Product Discovery Experiment Canvas |  Product Discovery Hypothesis Prioritization Canvas |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|
Purposedifferent | 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. | 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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 30-60 min | 60-90 min | Wochen bis Monate |
Participantsdifferent | 1-5 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Prioritization Canvas, Hypothesis Backlog | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis | OntologyMethodologyAgileSemantic |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
