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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations ALPEN Method |  Operations Gemba Walk |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | 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. | 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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | 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 | High | Low | Low | High |
Timedifferent | Mehrere Wochen | 10-20 min daily | 30-120 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 1 | 2-6 | 4-10 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Daily Plan, Time Estimates, Review Notes | Observation Notes, Improvement Ideas | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | PlanningTime managementProductivityOperations | LeanObservationProcessOperations | InnovationPrototypeResearch |