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| Criterion |  Knowledge Modeling PARA Method |  Innovation Lean Startup |  Product Discovery Fake Door Test |  Product Discovery Pretotyping |
|---|---|---|---|---|
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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | Wochen bis Monate je Lernzyklus | 1-5 Tage | Stunden bis wenige Tage |
Participantsdifferent | 1 | 2-8 | Nutzertraffic | 1-4 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Click Data, Interest Signal, Learning Decision | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision |
Tagsno overlap | KnowledgeProductivityOrganization | LeanStartupValidationMVP | ValidationExperimentsDemandDiscovery | ValidationDemandMVP |