How mentors and mentees are matched

The matching system facilitates high-quality, relevant connections by prioritizing the specific needs of the mentee, while ensuring the mentor is both qualified and willing to provide guidance in those area.

To establish a successful match, both mentors and mentees first complete comprehensive profiles. The system then utilizes a weighted scoring engine to recommend mentors by calculating how effectively their profiles align with a mentee's professional experience and expressed preferences. The system considers the following characteristics when assessing these skills-based matches:

• Skill Proficiency: The algorithm prioritizes a high-quality learning experience by comparing the mentor’s expertise against the mentee’s needs. Mentors who meet or exceed the required proficiency levels are favored, while matches with under-qualified individuals are discouraged.
• Skill Validation: To ensure the integrity of the guidance provided, the system boosts the score for mentors with validated expertise. It relies on a history of verified skills to confirm capability and adjusts the score downward for skills that have not yet been assessed.
• Role-Based Relevance: The engine assesses whether a skill is a core component of the mentor's current professional function. Matches are strengthened when the skill is a requirement of the mentor's role, ensuring that the knowledge being shared is grounded in current, real-world practice.
• Mentorship Preference: As the most critical factor in the match, the system places heavy emphasis on the mentor's desire to teach. Even if a mentor is highly qualified and uses a skill in their daily role, they will be significantly less likely to be matched for that skill unless they have explicitly listed it as a topic they are interested in teaching

In the simulation below, a mentee is matched to mentors based on profile attributes, demonstrating that even with a relevant job role and validated skills, the lack of explicit intent to teach results in a lower match score.

The system prioritizes mentorship intent to ensure mentees are connected with both subject matter experts and willing educators. Even if a mentor is qualified in a specific area, the matching algorithm prioritizes those who have explicitly listed that topic as a skill they are eager to teach. This ensures that matches are determined not just by a mentor's capability, but by their active desire to provide guidance in a particular field.

Activating application

You can activate the Mentoring from the ServiceNow store. This application includes demo data and activates related plugins if they aren’t already active.

Request apps on the Store

Visit the ServiceNow Store website to view all the available apps and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the ServiceNow Store version history release notes.

Configuring data

Mentoring comes with optional demo data.

For more information, see Configuring mentoring and Mentoring reference.

Using Mentoring

Use Mentoring to get a better understanding of your learnings. Act on items that need immediate attention, keep yourself up to date on upcoming content items, courses, and so on.

For more information, see Using Mentoring.

Skills Foundation integration with Mentoring

Mentoring integrates Skills Foundation to skill based recommendations for a mentor/mentee.