Mentoring Mentors (MM), a Baltimore-area organization, employs an intergenerational, team-based, near-to-peer mentoring approach to help, guide, and inspire African-American youth to become mentors in their communities. MM works with both young men and young women, using a combination of an African American professional, a high-school mentee, and middle-school mentees for young men and small group workshops with working professional women for school-aged young women.
The first project
Mentoring Mentors was just beginning to explore the use of analytics. They sought help from Pro Bono Analytics to construct an initial data acquisition and storage strategy. Questions to be answered included the following.
- How would the data be used? What were the desired results from analysis of the data?
- What data did they have, what data did they need to collect, and what data could/should they acquire from public sources?
- How should the data be stored?
Since it took time to collect the needed data, analysis of the data was not part of the initial project.
- Rachel Brame
- Sean Justice
- S. (Kam) Kamakshi
- Noah Purcell
The second project
MM sought help to integrate or design a system to store the data they had collected, with the aim of developing cross-sectional data, analyzing current data, comparing and contrasting data, and using their data to evaluate the effectiveness of their programs.
- Rachel Brame