Bridging Customer and User Perspectives: A Hybrid Approach to Unified Requirements Extraction

Effective requirements engineering is essential for aligning software development with strategic business objectives and end users' practical needs.This paper presents a hybrid, integrated framework to bridge the gap between customer and user perspectives in requirements extraction.The framework combines goal-oriented and data-driven methodologies with advanced automation techniques including natural language processing and a large language model-based system (ReqNet) to simplify requirements elicitation, consolidation, and prioritization.Adopting a Design Science Research (DSR) approach, the proposed model proceeds through four core phases: requirement elicitation, data consolidation, prioritization and validation, and deployment and evaluation.Structured surveys, semi-structured interviews, usability testing, and focus groups are employed to collect comprehensive qualitative inputs from diverse stakeholder groups.These inputs are systematically integrated using collaborative filtering and the ERRC (Eliminate, Reduce, Raise, Create) technique, then prioritized with the Use Case Points (UCP) method to assess implementation complexity and stakeholder impact.A detailed case study on a car product management system demonstrates the framework's effectiveness, revealing that the unified approach reduces redundant processes and fosters strong stakeholder consensus by addressing conflicting requirements.The findings indicate significant improvements in requirement completeness, process efficiency, and alignment between business strategy and user experience.The paper outlines potential avenues for future research, including scalability across varied domains and real-time adaptive prioritization through enhanced AI integration.The proposed approach offers a replicable model for developing cohesive and actionable software requirements in complex development environments.Thus, the method yields enhanced outcomes.