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| Criterion |  Product Discovery Opportunity Solution Tree |  Operations ALPEN Method |  Product Discovery Opportunity Scoring |  Operations ABC Analysis |
|---|---|---|---|---|
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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 1-2 h Setup, laufend | 10-20 min daily | 60-120 min | 30-60 min |
Participantsdifferent | 2-6 | 1 | 3-6 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Daily Plan, Time Estimates, Review Notes | Opportunity Score Table, Top Outcomes | ABC Classification, Focus Rules, Control List |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | PlanningTime managementProductivityOperations | PrioritizationDiscoveryOutcomesNeeds | PrioritizationOperationsPortfolio |