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| Criterion |  Product Discovery Context Canvas |  Knowledge Modeling Shape-First Modeling |  Decision Making Assumption Surfacing |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 45-90 min | Halber Tag pro Domain Slice | 45-90 min | 2-4 h |
Participantsdifferent | 3-10 | 1-4 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Context canvas, Open questions, Shared context notes | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Assumption List, Critical Assumptions, Learning Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | ContextFramingRequirementsCanvas | Knowledge graphValidationSemantic | AssumptionsRiskDecisionDiscovery | OntologyKnowledge graphScopeRequirementsSemantic |