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| Criterion |  Decision Making Delphi Method |  Product Discovery MVP Test Matrix |  Knowledge Modeling NeOn Methodology |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1-4 Wochen | 45-75 min | Mehrere Wochen bis Monate | 1-5 Tage |
Participantsdifferent | 6-30 Experten | 2-8 | 2-10 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Test Matrix, Test Plan | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryOptions | OntologyMethodologyReuseSemanticEngineering | ValidationExperimentsDemandDiscovery |