I'm building a mentorship matching platform. On the platform both mentees and mentors can register and then mentee will be matched with some mentors who can help with mentees' requests. Current goal is IT occupations like product management and software engineering. What data about mentors and mentees should I collect to provide good matching?
To provide good matching, it is important to collect data about both mentors and mentees to ensure that their needs and expectations align. Here are some data points that could be useful to collect:

For Mentors:

1. Occupation: Collect information about the mentor's current occupation or job title.

2. Skills and Expertise: Collect information on the mentor's areas of expertise and skillset.

3. Availability: Collect information on the mentor's availability, such as preferred days and times for mentoring sessions.

4. Mentoring Experience: Collect information on the mentor's experience as a mentor, including the number of mentees they have worked with and the length of time they have been mentoring.

5. Goals: Collect information on the mentor's goals for mentoring, such as what they hope to accomplish by mentoring and what type of mentee they would like to work with.

For Mentees:

1. Occupation: Collect information about the mentee's current or desired occupation or job title.

2. Skills and Expertise: Collect information on the mentee's areas of expertise and skillset.

3. Goals: Collect information on the mentee's career goals and the type of mentorship they are seeking.

4. Availability: Collect information on the mentee's availability, such as preferred days and times for mentoring sessions.

5. Background: Collect information on the mentee's background, including their educational and professional experience.

By collecting this data, you will have a better understanding of the needs and expectations of both mentors and mentees, which will allow you to provide more accurate matchmaking.