<p>The post-licensure re-evaluation of specifications for critical quality attributes (CQAs) is a vital component of the biologics lifecycle. This process is driven by evolving manufacturing practices, regulatory requirements, and an enhanced understanding of the product. This manuscript proposes a statistical framework that enables end-to-end re-evaluation of specifications to meet the industry’s need for holistic approaches for post-licensure specification setting. This framework includes comprehensive analyses of assay control, release, and stability data to ensure that specifications remain aligned with product quality, safety, and efficacy throughout the product lifecycle. Several case studies demonstrate the practical application of this framework, highlighting its effectiveness in managing atypical data and ensuring compliance with regulatory standards. Furthermore, this work emphasizes the importance of effective collaboration among statisticians, data scientists, and process experts to establish regulatory-compliant specifications. It also advocates for the development of customized software applications to enhance the efficiency and consistency of the specification calculation process.</p>