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| Criterion |  Innovation Design Thinking |  Operations Root Cause Analysis |  Product Discovery Outcome-Driven Innovation |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 1-4 h | Mehrere Wochen | 1-3 h |
Participantsdifferent | 4-10 | 3-8 | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | InnovationPrototypeResearch | Root causeProblem solvingQualityIncident | OutcomesInnovationResearchQuantitative | Root causeTreeIncidentQuality |