Work in Progress: Comparing methods of Mentorship Matching

Mentorship programs are a great way for young new employees to learn from their more experienced colleagues, but it is also a great way for more seasoned employees to widen their perspective. The compatability and matching of mentors/mentees is an important, but often neglected part of the program design.

In this project I explore various methods of matching mentors to mentees, given information on the compatability measure between the mentor/mentee pairs. I am exploring a method that focuses on minimizing the loss of not getting a top match. As such, matches are made based on who has the most to lose by not getting their current top preference. This project currently does not focus on the method of scoring matches, or how it compares to alternative methods of maximization. Future work will draw on the literature around matching and mentor/mentee relationships to address these issues more thoroughly. This work is currently written in Python, wrapped in an R Markdown for ease of viewing.