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| Criterion | ![]() Innovation Design Thinking | ![]() Innovation Design Sprint | ![]() Systems Thinking Future Reality Tree | ![]() Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | 1 Tag bis mehrere Wochen | 4-5 Tage | 2-4 h | Mehrere Wochen |
Participantsdifferent | 4-10 | 5-8 | 3-8 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation | Theory of ConstraintsSystems thinkingChange | OutcomesInnovationResearchQuantitative |



