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| Criterion |  Knowledge Modeling Linked Open Terms |  Product Discovery Experiment Canvas |  Decision Making Assumption Surfacing |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | Wochen bis Monate | 30-60 min | 45-90 min | 1-2 h |
Participantsdifferent | 2-8 | 1-5 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Completed Experiment Canvas, Success Metric | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | OntologyMethodologyAgileSemantic | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |