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| Criterion | ![]() Operations ALPEN Method | ![]() Product Discovery Opportunity Solution Tree | ![]() Product Discovery Outcome-Driven Innovation |
|---|---|---|---|
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 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. | 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. |
Complexitydifferent | Low | Medium | High |
Timedifferent | 10-20 min daily | 1-2 h Setup, laufend | Mehrere Wochen |
Participantsdifferent | 1 | 2-6 | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | PlanningTime managementProductivityOperations | DiscoveryOutcomesExperimentsOpportunity | OutcomesInnovationResearchQuantitative |
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