MatchPRO
Making the Right Match in MentorPRO Makes a Real Difference

Ramadurai, R., Deng, Y., Werntz, A., Yowell, C., & Rhodes, J. E. (2025). Mentor-mentee similarity in college peer mentoring: Untangling conflicting results. Studies in Higher Education. Advance online publication. https://doi.org/10.1080/03075079.2025.2572504
A study of more than 2,000 first-year students using MentorPRO found that matching on shared background characteristics — particularly race and first-generation status — was associated with stronger mentoring relationships and higher GPAs. First-generation students paired with first-generation mentors also reported a stronger sense of belonging. MentorPRO’s matching features are designed to put these findings into practice.
MatchPRO Leads to Relationships That Last 3X Longer

Rhodes, J. et al. (in preparation). Testing a mentor-mentee matching tool against “business as usual” matching
Our proprietary matching algorithm draws on data from thousands of mentor-mentee pairs to identify the combinations most likely to result in strong, lasting relationships. Internal analyses indicate that students matched through the MentorPRO algorithm are approximately three times less likely to experience early relationship termination compared to those matched by major alone. A full peer-reviewed report of these findings is currently in preparation (Rhodes et al., manuscript in preparation).
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How Much Does Mentoring Software Cost?
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A new study accepted for publication in Translational Issues in Psychological Science (Hersch et al., in press). raises questions about how AI should be used to support mentoring relationships.
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