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| Criterion |  Systems Thinking Intervention Mapping |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Future Reality Tree |
|---|---|---|---|---|
Purposedifferent | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. |
Complexitysame | High | High | High | High |
Timedifferent | 1-5 Tage | 1 Tag bis mehrere Wochen | Mehrere Wochen | 2-4 h |
Participantsdifferent | 4-12 | 4-10 | 2-6 researchers plus sample | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | ChangeSystems thinkingCapability | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | Theory of ConstraintsSystems thinkingChange |