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| Criterion |  Innovation Double Diamond |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Future Reality Tree |  Systems Thinking Leverage Points |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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. | 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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | Wochen bis Monate | Mehrere Wochen | 2-4 h | Half day |
Participantsdifferent | 3-12 | 2-6 researchers plus sample | 3-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Leverage Map, Action Strategy |
Tagsno overlap | ProcessDivergenceInnovation | OutcomesInnovationResearchQuantitative | Theory of ConstraintsSystems thinkingChange | Systems thinkingChangeStrategy |