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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Intervention Mapping |  UX Research Surveys |  Systems Thinking Future Reality Tree |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Mehrere Wochen | 1-5 Tage | 3-14 Tage | 2-4 h |
Participantsdifferent | 2-6 researchers plus sample | 4-12 | 50+ | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Survey Results, Charts, Segment Insights | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ChangeSystems thinkingCapability | QuantitativeResearchValidation | Theory of ConstraintsSystems thinkingChange |