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| Criterion |  Knowledge Modeling PARA Method |  Operations PDCA Cycle |  Product Strategy DIBB |  Product Strategy Counter Metrics |
|---|---|---|---|---|
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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 1-3 h Setup, laufend | 1 h bis mehrere Wochen | 1-2 h | 30-60 min |
Participantsdifferent | 1 | 1-8 | 2-8 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | DIBB document, Belief list, Bet list, Learning report | Counter Metric List, Guardrail Definitions |
Tagsno overlap | KnowledgeProductivityOrganization | Continuous improvementLeanExperiments | StrategyDecisionAssumptionsHypothesis | MetricsMeasurementStrategyExperiments |