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| Criterion |  Operations Fishbone Diagram |  Product Discovery Outcome-Driven Innovation |  Operations Root Cause Tree Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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. | 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 | Low | High | Medium | Medium |
Timedifferent | 30-60 min | Mehrere Wochen | 1-3 h | 1-4 h |
Participantsdifferent | 2-8 | 2-6 researchers plus sample | 2-8 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Fishbone Diagram, Cause Categories, Investigation Backlog | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Root causeQualityOperations | OutcomesInnovationResearchQuantitative | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |