To provide good matching on your mentorship platform, it's important to collect detailed information about both mentors and mentees. Here are some data points that you could consider collecting:

Mentors:

1. Personal Information: name, email, location, occupation, etc.

2. Professional Experience: current job title, previous job titles, years of experience, industries worked in, etc.

3. Areas of Expertise: specific skills, technologies, tools, etc. that the mentor is proficient in.

4. Availability: the days and times that the mentor is available to meet or communicate.

5. Professional Goals: what the mentor hopes to achieve through mentoring, such as building a network, sharing their knowledge, etc.

Mentees:

1. Personal Information: name, email, location, occupation, etc.

2. Professional Experience: current job title, previous job titles, years of experience, industries worked in, etc.

3. Areas of Interest: specific skills, technologies, tools, etc. that the mentee would like to learn or improve in.

4. Availability: the days and times that the mentee is available to meet or communicate.

5. Professional Goals: what the mentee hopes to achieve through mentorship, such as advancing in their career, acquiring new skills, etc.

It's also important to keep in mind that collecting too much information could be overwhelming for users and lead to lower engagement on the platform, so it's important to strike a balance between collecting enough data for effective matching and not overwhelming users with too many questions.
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