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| Criterion |  Knowledge Modeling PARA Method |  Domain Modeling EventStorming |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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. | 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 | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 2-8 h | 30-60 min | 1-5 Tage |
Participantsdifferent | 1 | 5-12 | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeProductivityOrganization | Domain-Driven DesignEventsDiscoveryWorkshop | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |