Stop Blaming QA and Start Diagnosing Hidden Inefficiencies

The article argues that blaming quality assurance teams is counterproductive. It calls for a systematic diagnosis of hidden process inefficiencies. The authors cite common pitfalls that mask deeper problems. They suggest using data‑driven analysis to pinpoint bottlenecks. Addressing root causes can improve overall software quality. The paper provides a framework for organizations to adopt. Case studies illustrate the benefits of the proposed approach. Readers are encouraged to reevaluate their QA practices in light of the findings.