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| Criterion |  Product Discovery Solution Interview |  Operations ALPEN Method |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | 30-60 min je Interview | 10-20 min daily | Mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 5-10 Interviews | 1 | 2-6 researchers plus sample | 4-10 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Daily Plan, Time Estimates, Review Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | ValidationInterviewsPrototype | PlanningTime managementProductivityOperations | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch |