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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations ALPEN Method |  Product Discovery Opportunity Solution Tree |  Product Strategy GIST Planning |
|---|---|---|---|---|
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 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. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | Mehrere Wochen | 10-20 min daily | 1-2 h Setup, laufend | Wochen bis Monate je Goal |
Participantsdifferent | 2-6 researchers plus sample | 1 | 2-6 | 3-10 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Daily Plan, Time Estimates, Review Notes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Goals, Idea bank, Step-project list, Tasks, Learning reports |
Tagsno overlap | OutcomesInnovationResearchQuantitative | PlanningTime managementProductivityOperations | DiscoveryOutcomesExperimentsOpportunity | RoadmapOutcomesPlanningExperiments |