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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Dual-Track Agile |  Decision Making Assumption Surfacing |  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 uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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 | Low |
Timedifferent | 1-3 h Setup, laufend | Laufend, Wochen bis Monate | 45-90 min | 1-2 h |
Participantsdifferent | 1 | 4-10 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | KnowledgeProductivityOrganization | AgileDiscoveryDelivery | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |