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| Criterion |  Knowledge Modeling PARA Method |  Operations Failure Mode and Effects Analysis |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 2-6 h | 1-5 Tage | 30-60 min |
Participantsdifferent | 1 | 3-10 | Nutzertraffic | 1-5 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | FMEA Table, Risk Priority, Mitigation Actions | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | KnowledgeProductivityOrganization | RiskQualityOperationsRoot cause | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |