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| Criterion |  Knowledge Modeling PARA Method |  Knowledge Modeling Domain Storytelling |  Product Discovery Pretotyping |  Innovation Lean Startup |
|---|---|---|---|---|
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. | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-2 h | Stunden bis wenige Tage | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1 | 2-8 | 1-4 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Domain Story, Glossary Notes, Process Narrative | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | KnowledgeProductivityOrganization | KnowledgeDomain-Driven DesignProcess | ValidationDemandMVP | LeanStartupValidationMVP |