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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |  Systems Thinking Intervention Mapping |  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. | 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. | 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. | 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 | 4-5 Tage | 1-5 Tage | 2-4 h |
Participantsdifferent | 2-6 researchers plus sample | 5-8 | 4-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | ChangeSystems thinkingCapability | Theory of ConstraintsSystems thinkingChange |