Cross-Functional Diversity Matching
Diversity in the match, privacy in the data
Cross-functional diversity matching surfaces pairs across departments without compromising match quality. All diversity data is aggregate-only. Participants are never identified by demographic data in any report.
Cross-functional matching features
Optional cross-functional diversity dimension in PAIR
Admins can switch this dimension on or off. When active, PAIR weights cross-functional diversity as a positive signal, surfacing pairs that cut across departments/teams where match quality is otherwise comparable.
Aggregate-only reporting
DEI analytics are always shown at the program or cohort level, never at the individual pair level. Participants are never identified by demographic data in any report.
Opt-in participation
Gender and ethnicity data is used for aggregate reporting only, and sharing it is always opt-in. It never affects match scoring, so participants who leave it blank are matched exactly the same as everyone else.
ERG program support
Employee Resource Groups can run their own mentoring programs inside MentorStack, with the same matching, goal tracking, and analytics as the main program.
DEI cohort analytics
Track match composition, goal completion rates, and satisfaction scores segmented by cohort, including ERG-specific cohorts. Useful for quarterly DEI reporting to leadership.
Regulatory compliance support
For organizations under formal DEI reporting requirements (public companies, government contractors, financial services), MentorStack exports department distribution and cross-functional match percentages at the aggregate level.
How matching treats diversity
Forcing diversity at the expense of match quality is counterproductive: it produces pairs that do not work, which undermines both the program and the DEI goal. The PAIR engine treats cross-functional fit as one dimension among five, not a constraint or override.
When the cross-functional dimension is active, PAIR scores cross-functional pairs higher when match quality on the other four dimensions is comparable. It surfaces diversity where it comes naturally from the data, rather than forcing it where it would create friction.
Admins always review final matches before participants are notified. The cross-functional weighting is a suggestion, not an automatic assignment.
Common questions
- What is cross-functional diversity matching?
- Cross-functional diversity is an optional fifth dimension in the PAIR matching engine. When an admin switches it on, PAIR scores pairs from different departments higher where match quality on the other four dimensions is comparable. It is available on Growth and above, and it is a suggestion, not an automatic assignment.
- Does MentorStack match people on gender or ethnicity?
- MentorStack matching does not use gender, ethnicity or other personal characteristics. The only diversity signal in matching is whether two people work in different departments. Sharing optional demographic details is opt-in, and those details never affect match scoring, so people who leave them blank are matched the same way.
- Is diversity data shown for individual participants?
- Diversity analytics appear only at the program or cohort level, never for an individual pair. Participants are never identified by demographic data in any report. Cross-functional match percentages and department distribution are available as aggregate figures for organizations that report on them, on Growth and above.
- Do admins review matches that use the diversity dimension?
- Admins review final matches before participants are notified, so the cross-functional weighting only shapes the suggestions. PAIR treats cross-functional fit as one dimension among five, not as a constraint or override. This avoids forcing pairs that would not work just to hit a diversity target.
See cross-functional match composition, aggregate only
Free Pilot for up to 10 participants. No credit card required.
Free for up to 10 participants. No credit card, no sales call. SSO (SAML) on Growth and above.