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| Criterion |  Systems Thinking Future Reality Tree |  Innovation Design Thinking |  Systems Thinking Intervention Mapping |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | 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. |
Complexitysame | High | High | High | High |
Timedifferent | 2-4 h | 1 Tag bis mehrere Wochen | 1-5 Tage | Mehrere Wochen |
Participantsdifferent | 3-8 | 4-10 | 4-12 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Problem Statement, Prototype, Test Learnings | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | InnovationPrototypeResearch | ChangeSystems thinkingCapability | OutcomesInnovationResearchQuantitative |