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| Criterion |  Product Strategy DIBB |  Agile Example Mapping |  Knowledge Modeling Ontology Design Patterns |  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 a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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 | Low | Medium | Low |
Timedifferent | 1-2 h | 30-60 min | 1-3 h pro Pattern | 20-40 min pro Story |
Participantsdifferent | 2-8 | 3-7 | 1-6 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Example Map, Acceptance Criteria, Open Questions | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Acceptance Criteria, Story Update |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Behavior-Driven DevelopmentRequirementsExamplesRefinement | OntologyPatternsReuseSemanticModeling | AgileRequirementsRefinementBehavior-Driven Development |