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| Criterion |  Operations Root Cause Analysis |  Innovation Design Sprint |  Product Discovery Outcome-Driven Innovation |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | Medium | High | High | Medium |
Timedifferent | 1-4 h | 4-5 Tage | Mehrere Wochen | 1-3 h |
Participantsdifferent | 3-8 | 5-8 | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Prototype, Test Findings, Decision Rationale | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | Root causeProblem solvingQualityIncident | Design sprintPrototypeValidationInnovation | OutcomesInnovationResearchQuantitative | Root causeTreeIncidentQuality |