Author(s): Sunny Nanade, Koteswara Rao Anne, Debasis Dash, Aftab Haider Rizvi
Higher education institutions exist within competitive market environments which require them to achieve strategic goals through student experience excellence and satisfaction levels and institutional reputation management. The study introduces a four-quadrant evaluation system for academic standards and student readiness which integrates Intelligence Quotient (IQ) with Emotional Quotient (EQ) and Adversity Quotient (AQ) and Spiritual Quotient (SQ) within a streamlined technological framework. A live auto-scoring digital application was developed and deployed to capture multi-role stakeholder responses and generate real-time quotient visualisations without manual computation. The framework combines fundamental machine learning analytics with lean process methods to deliver an improved academic quality assessment system which operates at scale and with open access. The research demonstrates through pilot data from higher education stakeholders that 4QS metrics enable data-driven student profile segmentation which helps academic teams create proactive educational support measures. The system provides two benefits for educational marketing because it enables better student experience management and institutional brand positioning and service quality improvement. The research demonstrates that 4QS-based analytics functions as a vital tool for academic management in marketing operations but requires extended validation through large-scale participant studies over prolonged periods.