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| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Knowledge Modeling Domain Storytelling | ![]() Growth A/B Testing | ![]() 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. | 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. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 | Low | High | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-2 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1 | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Domain Story, Glossary Notes, Process Narrative | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeProductivityOrganization | KnowledgeDomain-Driven DesignProcess | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |



