Matching Styles available on Mentorloop Pro Package
There are three matching styles you can choose from when using Mentorloop Pro
- Manual Match
- Self Match
In this article, we talk about how they differ, examples of where and when they work best, as well as the pros and cons of each.
When selecting this option, you are choosing to be in full control of the pairings in your program. That means you will be responsible for manually reviewing participant profiles to see where there might be some similarities or overlap of interests or areas that mentees would like to develop. You are also then responsible for connecting each participant with their partners.
This is great for smaller programs where you, the Program Coordinator, have intimate knowledge of the people involved. This also works well if you are running a highly curated program, one for ‘high potentials’, or other types of smaller, targeted programs.
This also works well for programs where you need more control.
For example, some programs may need sensitive data. For example, DEI programs will ask for things like ethnicity, sexual orientation, etc. to match participants, while some ERG programs may want to match participants based on whether participants are in certain stages of their lives - parenting, loss, re-entering the workforce, etc. In these cases, it wouldn’t be appropriate to give the entire cohort access to this information so it’s best the program coordinator takes charge of matching.
Another use case for this type of matching style is if your program has highly specific goals. An example would be programs that aim to form and strengthen cross-departmental and cross-functional relationships and knowledge exchange. For this type of program, it’s good to take control of matching so you can be sure no one is matched with a mentoring partner within their department.
- Full control over the matching process
- You can be assured that everyone is matched
- Prevents “celebrity mentors” from getting too many requests or mentees requesting matches with the most senior person they find regardless of fit
- Removes some of the bias that would occur when participants match themselves (e.g. requesting matches with people they already know, or people similar to them)
- This can be a time-consuming process
- You will also be responsible for troubleshooting (e.g. rematching) when matches don’t work out
This option allows you to empower your participants to organise themselves into their own matches at a time that’s convenient for them. Your participants can search the platform for a mentoring partner based on anything that appears on their profile - this could be skills, location, role, industry, or even the information in their more detailed bio. They are also responsible for reaching out and connecting with their mentoring partner and the other party has the option to review and accept or politely decline. To help participants with this, Mentorloop surfaces some Recommended Matches suggested by our matching algorithm.
This is great for larger programs or if you do not have the time to dedicate to manually matching your entire cohort. This is also great for setting the expectation that the participants are responsible for driving their mentoring relationships and progress.
- Less time investment for the program coordinator
- Participants take control of their mentoring relationships from the start
- Allows you to more easily build an always-on mentoring culture
- This option feels the most like inviting people into a community
- Some participants may struggle to find matches unassisted
- Program coordinators have to make sure participants are engaged and keen on mentoring, monitoring progress and taking measures to nudge things along for the stragglers. Drumming up excitement and keeping engagement up becomes the program coordinator’s main focus.
With blended matching, you get the best of both worlds, which is why we recommend this for most Pro programs, especially for first-time program coordinators.
This allows you to empower your participants to take charge of their mentoring matches and progress while still making it possible for you to step in when someone needs a hand with finding a match.
On Mentorloop Pro, you’ll see something called your “Recommended Matches.” These are suggestions made by the Mentorloop algorithm based on things like skills, goals, and experience, as well as matching rules determined by your program theme.
The algorithm will suggest a number of mentoring partnerships to you or your participants (depending on your chosen matching style) which can be reviewed and followed through or simply passed over.
This is a great feature to take advantage of to save time and reduce unconscious bias in matching.
Advice from our Customer Success team:
"Sometimes control over the initial matching is important to your program. If this is you, consider turning on Self-Match a few weeks into the program — we have seen this to be extremely effective. It gives participants autonomy to find someone else if their match isn't suitable. Better yet, the ability to make more connections (in addition to who has been carefully selected for them)."- Georgia