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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Fishbone Diagram |  Operations Failure Mode and Effects Analysis |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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 problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 30-60 min | 2-6 h | 45-60 min |
Participantsdifferent | 1-4 | 2-8 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Fishbone Diagram, Cause Categories, Investigation Backlog | FMEA Table, Risk Priority, Mitigation Actions | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Knowledge graphValidationSemantic | Root causeQualityOperations | RiskQualityOperationsRoot cause | AssumptionsRiskExperimentsValidation |