Agile methodologies such as Scrum play a pivotal role in modern software development by enabling adaptability and continuous feedback. Despite these strengths, the sprint planning process frequently depends on subjective judgment, leading to inefficiencies, misaligned goals, and reduced team performance. This paper builds upon prior research on the BeCoMe method—a multi-criteria decision-making approach that aggregates expert opinions to identify optimal task assignments. The integration of BeCoMe into Scrum’s planning process is structured through Soft Systems Methodology (SSM), which accounts for the social and organizational dynamics influencing decision-making. The research presents two detailed case studies within a real-world software project: the first demonstrates the use of BeCoMe to resolve conflicts in selecting user stories for a sprint; the second applies BeCoMe to determine the optimal number of tasks for sprint inclusion. Results confirm that BeCoMe enhances decision objectivity, fosters team consensus, and reduces planning-related conflicts, ultimately improving sprint efficiency and project outcomes. These findings provide practical guidance for project managers and development teams seeking to refine agile planning processes through data-driven, consensus-based decision support tools.