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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  Operations 5 Whys |  Operations Root Cause 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 topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | Mehrere Wochen | 3-14 Tage | 15-30 min | 1-4 h |
Participantsdifferent | 2-6 researchers plus sample | 50+ | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |