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| Criterion |  Product Strategy DIBB |  Agile Specification by Example |  Knowledge Modeling NeOn Methodology |  Agile Acceptance Criteria Workshop |
|---|---|---|---|---|
Purposedifferent | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. | When a story needs clear checkpoints before implementation, it sharpens expectation and scope together. It sorts work by value, risk, and delivery ability. The result is captured as Acceptance Criteria and a Story Update. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 1-2 h | 60-90 min pro Feature | Mehrere Wochen bis Monate | 20-40 min pro Story |
Participantsdifferent | 2-8 | 3-6 | 2-10 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Example Table, Acceptance Tests | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Acceptance Criteria, Story Update |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | AgileRequirementsExamplesBehavior-Driven Development | OntologyMethodologyReuseSemanticEngineering | AgileRequirementsRefinementBehavior-Driven Development |