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| Criterion |  Operations ALPEN Method |  Product Discovery MVP Test Matrix |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 10-20 min daily | 45-75 min | 60-90 min | 1-5 Tage |
Participantsdifferent | 1 | 2-8 | 3-8 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Test Matrix, Test Plan | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | PlanningTime managementProductivityOperations | ExperimentsValidationDiscoveryOptions | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |