View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Smoke Test |  Decision Making DACI |  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. | 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. | In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated. | 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 | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-5 Tage | 30-60 min | 1-5 Tage |
Participantsdifferent | 1 | Nutzertraffic | 2-10 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Interest Metrics, Conversion Signal, Learning Note | DACI Matrix, Decision Owner, Decision Log | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeProductivityOrganization | ValidationExperimentsDemandGrowth | DecisionRolesGovernanceAlignment | ValidationExperimentsDemandDiscovery |