View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Architecture Architecture Inception Canvas | ![]() Knowledge Modeling Competency Questions | ![]() Knowledge Modeling Shape-First Modeling |
|---|---|---|---|
Purposedifferent | The Architecture Inception Canvas bundles the first architecture questions into a compact decision picture. It fits when an initiative is still in motion but still needs clear guardrails. | 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 1-2 h | 2-4 h | Halber Tag pro Domain Slice |
Participantsdifferent | 3-8 | 2-8 | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Inception Canvas, Risks, Goal List, Open Questions | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | AlignmentArchitectureCanvas | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.






