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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Risk Matrix |  Growth A/B Testing |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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 a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | 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. | 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. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | Halber Tag pro Domain Slice | 30-60 min | 1-4 Wochen | 45-90 min |
Participantsdifferent | 1-4 | 3-10 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Risk Matrix, Top Risk List | Experiment results, Decision log, Learning summary | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | Knowledge graphValidationSemantic | RiskDecisionPrioritizationAssessment | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskDecisionDiscovery |