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| Criterion |  Product Discovery Opportunity Solution Tree |  Product Strategy KPI Tree |  Agile Bucket System |  Product Strategy OKRs |
|---|---|---|---|---|
Purposedifferent | 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. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | When strategic direction needs to become measurable, it connects ambition with checkable results. It makes goals connectable to focus and review. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h Setup, laufend | 90-180 min initial, dann laufend | 30-90 min | 1-2 h Setup |
Participantsdifferent | 2-6 | 3-8 | 3-12 | 2-20 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | KPI Tree, Owner List | Bucketed Backlog, Relative Estimates, Split Candidates | OKR set, Measurement plan, Review cadence |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | MetricsStrategyAlignmentMeasurement | EstimationBacklogRelative sizing | GoalsAlignmentOutcomesMeasurement |