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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Dual-Track Agile |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-3 h Setup, laufend | Laufend, Wochen bis Monate | 1-2 h | 1-4 Wochen |
Participantsdifferent | 1 | 4-10 | 2-8 | 6-30 Experten |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | KnowledgeProductivityOrganization | AgileDiscoveryDelivery | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |