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| Criterion |  Systems Thinking Future Reality Tree |  Innovation Design Sprint |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |
|---|---|---|---|---|
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. | 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. | 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 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. |
Complexitydifferent | High | High | High | Medium |
Timedifferent | 2-4 h | 4-5 Tage | Mehrere Wochen | 3-14 Tage |
Participantsdifferent | 3-8 | 5-8 | 2-6 researchers plus sample | 50+ |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Prototype, Test Findings, Decision Rationale | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | Design sprintPrototypeValidationInnovation | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation |