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| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Product Strategy KPI Tree | ![]() Product Discovery Fake Door Test | ![]() Engineering Goal Question Metric |
|---|---|---|---|---|
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 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 90-180 min initial, dann laufend | 1-5 Tage | 90-180 min |
Participantsdifferent | 1 | 3-8 | Nutzertraffic | 3-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | KPI Tree, Owner List | Click Data, Interest Signal, Learning Decision | GQM Table, Metric Profiles |
Tagsno overlap | KnowledgeProductivityOrganization | MetricsStrategyAlignmentMeasurement | ValidationExperimentsDemandDiscovery | MetricsMeasurementEngineeringAlignment |



