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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Operations Change 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 a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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 | Medium | Medium | Medium |
Timedifferent | Mehrere Wochen | 45-120 min | 1-3 h | 1-4 h |
Participantsdifferent | 2-6 researchers plus sample | 2-6 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ChangeRoot causeTroubleshootingComparison | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |



