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| Criterion |  Product Discovery Solution Interview |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Future Reality Tree |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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. | 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. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | 30-60 min je Interview | Mehrere Wochen | 2-4 h | 1 Tag bis mehrere Wochen |
Participantsdifferent | 5-10 Interviews | 2-6 researchers plus sample | 3-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | ValidationInterviewsPrototype | OutcomesInnovationResearchQuantitative | Theory of ConstraintsSystems thinkingChange | InnovationPrototypeResearch |