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| Criterion |  Operations ABC Analysis |  Product Discovery Opportunity Solution Tree |  Operations ALPEN Method |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 30-60 min | 1-2 h Setup, laufend | 10-20 min daily | 60-90 min |
Participantsdifferent | 1-5 | 2-6 | 1 | 3-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | ABC Classification, Focus Rules, Control List | Opportunity Solution Tree, Experiment Backlog, Learning Log | Daily Plan, Time Estimates, Review Notes | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | PrioritizationOperationsPortfolio | DiscoveryOutcomesExperimentsOpportunity | PlanningTime managementProductivityOperations | ExperimentsPrioritizationDiscoveryHypothesis |