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| Criterion |  Product Discovery Solution Interview |  Operations ALPEN Method |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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. | 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 | Medium | Low | Medium | Medium |
Timedifferent | 30-60 min je Interview | 10-20 min daily | 60-90 min | 1-5 Tage |
Participantsdifferent | 5-10 Interviews | 1 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Daily Plan, Time Estimates, Review Notes | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ValidationInterviewsPrototype | PlanningTime managementProductivityOperations | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |