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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Root Cause Analysis |  Innovation Design Thinking |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | 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 problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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. | 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 | Mehrere Wochen | 1-4 h | 1 Tag bis mehrere Wochen | 1-3 h |
Participantsdifferent | 2-6 researchers plus sample | 3-8 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Problem Statement, Prototype, Test Learnings | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Root causeProblem solvingQualityIncident | InnovationPrototypeResearch | Root causeTreeIncidentQuality |