1. Start with what the program is for
A career transition program, a founder cohort, and an internal leadership track need different matches. Write down what each participant should gain, then decide which criteria best support it.
Mentor-mentee matching
Mently recommends pairs based on skills, goals, and mentor capacity, shows why each pair was suggested, and leaves the final decision with your team.
Matching from application forms and spreadsheets can work for a small cohort. As the program grows, it takes longer and gets harder to do fairly. Mentor-mentee matching tools give your team a repeatable way to pair people without giving up its judgement.
Reading every application and weighing every possible pair can delay a cohort before it even starts.
When pairing lives in one coordinator's head, it is difficult to justify a match or repeat the process next intake.
Popular mentors take on too many mentees while others in your network go unused.
How it works
Choose whether to match on skills, goals, industry, or availability, and decide what a good match means for your program.
See suggested pairs with match scores and why each one was recommended.
Change any pair you disagree with, approve the rest, and notify participants.
Monitor pairing effectiveness over time, and reassign when a pair needs it.
How Mently helps
AI-powered recommendations rank candidates and show the signals behind each suggested pair.
Matching engineMap each participant's goals to the expertise available across your network.
Take mentor capacity into account so you do not over-assign some mentors while others sit idle.
Mentor networkYour team can change any recommendation or create a custom pair, with a record of those decisions.
Keep monitoring pairs after they are confirmed, and reassign participants when a match is not working.
Analytics & outcomesMatching connects to the cohorts, sessions, and milestones your team already manages in Mently.
Program managementMatching guide
A career transition program, a founder cohort, and an internal leadership track need different matches. Write down what each participant should gain, then decide which criteria best support it.
Ask mentees about their goals and the skills they want to build. Ask mentors about their expertise, their availability, and how many people they can realistically support. Only collect what you will use to match.
Not every criterion matters equally. For a skills program, expertise may matter most. For a mentor network with limited time, availability may decide whether a pair ever meets. Agree the order before you look at names.
Make sure no mentor is carrying too many mentees, then have someone who knows the participants review each pair. Staff often know things a profile does not show, such as a potential conflict of interest.
Check in early, watch for pairs that go quiet, and make it easy to reassign without blame. Then compare results across pairs so your next intake benefits. See how to track mentorship outcomes to make that comparison possible.
Who it's for
Pair participants with volunteer mentors on shared goals and availability, with staff review before pairs go live.
Volunteer mentor managementMatch founders and participants to relevant mentor expertise across each cohort.
Accelerator mentor managementConnect employees with internal mentors around the skills your organisation wants to develop.
Employee development programsPair participants with mentors who have experience in their target field.
Workforce developmentOutcomes
Your team starts from ranked recommendations, not a blank spreadsheet and a stack of applications.
Scores, reasons, and an audit trail make it easier to explain how each pair was made.
Capacity stays visible during matching, so requests can be spread across your network.
FAQ
Define what the program should achieve, collect profile data on goals, skills, and availability, and rank your matching criteria. Then generate or draft pairs, check mentor capacity, and have staff review each one before confirming it.
Most programs start with skills, goals, industry, and availability. The right order depends on your program's purpose, and mentor capacity should always be checked so that no one is over-assigned.
You set the criteria for your program, and Mently suggests pairs with match scores and the reasons behind each one. Your team reviews the recommendations, adjusts them as needed, and approves the final matches.
Yes. Admins can override any recommendation or create custom pairs, so you can use as much or as little of the automated matching as your program needs.
Program staff can monitor how pairs are doing over time and reassign participants when needed.
These matching tools are built for organisations running mentorship programs. If you run a program, book a demo or start a free trial to see how matching could work for it.
Book a demo and bring your matching criteria. We'll show you how they could work in Mently.