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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Intervention Mapping |  Innovation Design Sprint |  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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | Mehrere Wochen | 1-5 Tage | 4-5 Tage | 2-4 h |
Participantsdifferent | 2-6 researchers plus sample | 4-12 | 5-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Prototype, Test Findings, Decision Rationale | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ChangeSystems thinkingCapability | Design sprintPrototypeValidationInnovation | Theory of ConstraintsSystems thinkingChange |