Quality control in knowledge work is critical, as errors such as outdated information, spelling mistakes, and mislabeled graphs can undermine the credibility of reports. Disregarding flawed reports can prevent decision-making based on inaccurate data.

Engineering leaders are increasingly questioning the necessity of quality assurance (QA) in organizations, viewing it as an outdated practice. Some argue that quality should be the responsibility of the engineering teams themselves, while others express skepticism about this perspective.