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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Opportunity Solution Tree |  Product Strategy DIBB |
|---|---|---|---|
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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 1-2 h Setup, laufend | 1-2 h |
Participantsdifferent | 1 | 2-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Opportunity Solution Tree, Experiment Backlog, Learning Log | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | KnowledgeProductivityOrganization | DiscoveryOutcomesExperimentsOpportunity | StrategyDecisionAssumptionsHypothesis |
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