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 Hypothesis Prioritization Canvas |  Operations Ivy Lee Method |  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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | With a restless workday full of too many open items, the method creates radical simplicity. It directs attention to a short sequence instead of a broad, still-open field. | 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 | Medium | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 60-90 min | 5-10 min daily | 1-5 Tage |
Participantsdifferent | 1 | 3-8 | 1 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Prioritization Canvas, Hypothesis Backlog | Daily Priority List, Completion Notes | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeProductivityOrganization | ExperimentsPrioritizationDiscoveryHypothesis | PrioritizationProductivityExecution | ValidationExperimentsDemandDiscovery |