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| Criterion |  Operations ALPEN Method |  Product Discovery Opportunity Scoring |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 10-20 min daily | 60-120 min | 1-2 h Setup, laufend |
Participantsdifferent | 1 | 3-6 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Opportunity Score Table, Top Outcomes | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | PlanningTime managementProductivityOperations | PrioritizationDiscoveryOutcomesNeeds | DiscoveryOutcomesExperimentsOpportunity |
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