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| Criterion |  Knowledge Modeling PARA Method |  Growth A/B Testing |  Knowledge Modeling Domain Storytelling |  Product Discovery Smoke 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 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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | 1-3 h Setup, laufend | 1-4 Wochen | 1-2 h | 1-5 Tage |
Participantsdifferent | 1 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Experiment results, Decision log, Learning summary | Domain Story, Glossary Notes, Process Narrative | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | KnowledgeProductivityOrganization | ExperimentsGrowthAnalyticsValidation | KnowledgeDomain-Driven DesignProcess | ValidationExperimentsDemandGrowth |