In the world of e-commerce, the support team serves as the frontline detective, identifying operational snafus before they are quantified in analytics. This happens because customer interactions surface anomalies, complaints, and feedback in real time, weeks or even months before such issues are reflected in data dashboards. In practice, this could mean a sudden downturn in sales isn't flagged until analytics warn you; meanwhile, your support staff have already fielded multiple calls about checkout problems. The longer the delay in addressing these issues, the deeper customer dissatisfaction grows, impacting SSLAs for customer experience responsiveness. This decay underscores the need for a systematic approach where support insights are woven into operational oversight cycles.