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| Criterion |  Product Discovery Outcome-Driven Innovation |  Knowledge Modeling Domain Storytelling |  Operations ALPEN Method |
|---|---|---|---|
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. | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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. |
Complexitydifferent | High | Low | Low |
Timedifferent | Mehrere Wochen | 1-2 h | 10-20 min daily |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 1 |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Domain Story, Glossary Notes, Process Narrative | Daily Plan, Time Estimates, Review Notes |
Tagsno overlap | OutcomesInnovationResearchQuantitative | KnowledgeDomain-Driven DesignProcess | PlanningTime managementProductivityOperations |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
