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| Criterion |  Knowledge Modeling PARA Method |  Product Strategy DIBB |  Product Strategy KPI Tree |
|---|---|---|---|
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. | 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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-2 h | 90-180 min initial, dann laufend |
Participantsdifferent | 1 | 2-8 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | DIBB document, Belief list, Bet list, Learning report | KPI Tree, Owner List |
Tagsno overlap | KnowledgeProductivityOrganization | StrategyDecisionAssumptionsHypothesis | MetricsStrategyAlignmentMeasurement |
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