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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Fake Door Test |  Product Discovery Pretotyping |  Product Discovery Riskiest Assumption 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 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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-5 Tage | Stunden bis wenige Tage | 1-2 Wochen pro Iteration |
Participantsdifferent | 1 | Nutzertraffic | 1-4 | 2-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Click Data, Interest Signal, Learning Decision | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | KnowledgeProductivityOrganization | ValidationExperimentsDemandDiscovery | ValidationDemandMVP | ExperimentsValidationDiscoveryAssumptions |