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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Causal Factor Analysis |  Operations Root Cause Tree Analysis |  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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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 | High | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 2-6 h | 1-3 h | 1-4 h |
Participantsdifferent | 2-6 researchers plus sample | 3-10 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | OutcomesInnovationResearchQuantitative | CausalityIncidentRoot causeTimeline | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |