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| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Decision Making Constraint Analysis | ![]() Product Discovery Fake Door Test | ![]() Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 30-90 min | 1-5 Tage | 45-75 min |
Participantsdifferent | 1 | 2-8 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Click Data, Interest Signal, Learning Decision | Test Matrix, Test Plan |
Tagsno overlap | KnowledgeProductivityOrganization | ConstraintsDecisionPlanningOptions | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryOptions |



