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| Criterion |  Product Discovery Smoke Test |  Knowledge Modeling Linked Open Terms |  Knowledge Modeling Shape-First Modeling |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 1-5 Tage | Wochen bis Monate | Halber Tag pro Domain Slice | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 2-8 | 1-4 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | OntologyMethodologyAgileSemantic | Knowledge graphValidationSemantic | ExperimentsGrowthAnalyticsValidation |