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| Criterion |  Innovation Design Sprint |  Operations Root Cause Analysis |  Product Discovery Outcome-Driven Innovation |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | High | Medium | High | Medium |
Timedifferent | 4-5 Tage | 1-4 h | Mehrere Wochen | 1-3 h |
Participantsdifferent | 5-8 | 3-8 | 2-6 researchers plus sample | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Prototype, Test Findings, Decision Rationale | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | Design sprintPrototypeValidationInnovation | Root causeProblem solvingQualityIncident | OutcomesInnovationResearchQuantitative | Root causeTreeIncidentQuality |