Mentoring Quality Index: A Quantitative Multidomain Evaluation Framework

Mentorship is essential for developing professional competence, enhancing skill acquisition, and supporting identity formation across academic, clinical, and organizational settings. Despite its significance, there is a persistent lack of standardized, psychometrically robust tools for evaluating mentoring effectiveness across disciplines. This paper introduces the Mentoring Quality Index (MQI), a theory driven, modular framework informed by Kram’s mentoring functions, Kirkpatrick’s evaluation model, Working Alliance Theory, and culturally responsive mentoring principles. The MQI comprises 16 key performance indicators across four domains, and incorporates multiperspective triangulation, discrepancy analysis, and structured reporting. Its adaptable design supports varied mentoring contexts through customized weighting, language, and behavioral indicators.