View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Decision Making Assumption Surfacing | ![]() Product Strategy DIBB | ![]() Knowledge Modeling NeOn Methodology | ![]() Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | 45-90 min | 1-2 h | Mehrere Wochen bis Monate | 1-3 h pro Pattern |
Participantsdifferent | 2-8 | 2-8 | 2-10 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis | OntologyMethodologyReuseSemanticEngineering | OntologyPatternsReuseSemanticModeling |



