View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Product Discovery Fake Door Test | ![]() Knowledge Modeling NeOn Methodology | ![]() Product Discovery Learning Card |
|---|---|---|---|---|
Purposedifferent | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | 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. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage | Mehrere Wochen bis Monate | 25-40 min |
Participantsdifferent | Designers, developers as users, and facilitation | Nutzertraffic | 2-10 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Click Data, Interest Signal, Learning Decision | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Learning Card with evidence and next action |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandDiscovery | OntologyMethodologyReuseSemanticEngineering | ExperimentsValidationDiscoveryLearning |



