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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Dual-Track Agile |  Decision Making Delphi Method |  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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | High | Low |
Timedifferent | 1-3 h Setup, laufend | Laufend, Wochen bis Monate | 1-4 Wochen | 1-2 h |
Participantsdifferent | 1 | 4-10 | 6-30 Experten | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | KnowledgeProductivityOrganization | AgileDiscoveryDelivery | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |