View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Knowledge Modeling Competency Questions |  Knowledge Modeling Shape-First Modeling |  Product Discovery Experiment Canvas |  Product Discovery Test Card |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 2-4 h | Halber Tag pro Domain Slice | 30-60 min | 20-35 min |
Participantsdifferent | 2-8 | 1-4 | 1-5 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Completed Experiment Canvas, Success Metric | Test Card with a pre-set threshold |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis |