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| Criterion |  Agile Affinity Estimation |  Product Discovery Opportunity Solution Tree |  Product Strategy KPI Tree |
|---|---|---|---|
Purposedifferent | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-2 h Setup, laufend | 90-180 min initial, dann laufend |
Participantsdifferent | 3-12 | 2-6 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Opportunity Solution Tree, Experiment Backlog, Learning Log | KPI Tree, Owner List |
Tagsno overlap | EstimationBacklogRelative sizing | DiscoveryOutcomesExperimentsOpportunity | MetricsStrategyAlignmentMeasurement |
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