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| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Operations PDCA Cycle | ![]() 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 | Low | Low | High |
Timedifferent | 1-3 h Setup, laufend | 1 h bis mehrere Wochen | 1-2 h | 1-4 Wochen |
Participantsdifferent | 1 | 1-8 | 2-8 | 6-30 Experten |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | KnowledgeProductivityOrganization | Continuous improvementLeanExperiments | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |



