When collecting data about mentors and mentees for your mentorship matching platform, it may be useful to consider the following information:

Mentors:

IT Occupation: what specific field of software engineering or product management the mentor is experienced in.
Work experience: how many years of experience the mentor has in the field.
Skills and expertise: what specific skills and areas of expertise the mentor has.
Availability: how much time the mentor is willing to commit to mentorship, and when they are available.
Mentorship style: what kind of mentorship the mentor is comfortable with (e.g. one-on-one sessions, group sessions, virtual sessions, etc.).
Interests: what areas of technology or business the mentor is interested in, and what kinds of projects they are interested in helping with.
Mentees:

IT Occupation: what specific field of software engineering or product management the mentee is interested in pursuing.
Current knowledge: what the mentee already knows and has experience with, and what they would like to learn more about.
Goals: what the mentee hopes to achieve through mentorship, such as obtaining a new job, developing a new skill, or improving their performance in a current role.
Availability: how much time the mentee is willing to commit to mentorship, and when they are available.
Learning style: how the mentee learns best, such as through hands-on experience, reading, or lectures.
This information will help you create a more accurate match between mentors and mentees, and help ensure that both parties are satisfied with the mentorship experience.
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