Continuous learning is fundamental to professional and personal growth. Therefore, robust digital solutions are required to support adaptable and scalable educational demands. The Qualifications-Based Learning Model (QBLM) is a framework for qualifications-based learning, defining a software architecture and data models. However, the existing implementations of QBLM lack horizontal scalability and flexibility, which results in tightly coupled components that limit the adaptability of the model to the evolving needs of learners and institutions. Therefore, a new Qualifications-Based Learning Platform (QBLM Platform) is planned, which extends the QBLM approach by utilizing a modular software architecture that enables flexible service integration, scalability, and operational resilience. However, to design such a QBLM Platform, a requirements analysis is necessary. By employing both quantitative and qualitative research methods, which include a survey and expert interviews, the requirements for a QBLM Platform are identified. The result of the research is used to define not only the essential features and characteristics of the QBLM Platform but also learning platforms in general.