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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Future Reality Tree |  UX Research Surveys |  Systems Thinking Intervention Mapping |
|---|---|---|---|---|
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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Mehrere Wochen | 2-4 h | 3-14 Tage | 1-5 Tage |
Participantsdifferent | 2-6 researchers plus sample | 3-8 | 50+ | 4-12 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Survey Results, Charts, Segment Insights | Logic Model, Change Objectives, Intervention Components, Evaluation Plan |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Theory of ConstraintsSystems thinkingChange | QuantitativeResearchValidation | ChangeSystems thinkingCapability |