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| Criterion | ![]() Knowledge Modeling Competency Questions | ![]() Decision Making Delphi Method | ![]() Product Discovery Assumption Mapping | ![]() Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | High | Medium | Medium |
Timedifferent | 2-4 h | 1-4 Wochen | 45-60 min | Halber Tag pro Domain Slice |
Participantsdifferent | 2-8 | 6-30 Experten | 2-8 | 1-4 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Expert Forecast, Consensus Range, Assumption Notes | Assumption map, Test backlog, Risk ranking | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | ForecastingExpertsDecisionStrategy | AssumptionsRiskExperimentsValidation | Knowledge graphValidationSemantic |



