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Data-driven mentor-mentee match recommendations

Qooper’s configurable matching algorithm recommends mentor-mentee pairings based on program criteria, eliminating hours of manual matching previously handled in spreadsheets.

 

Admin-controlled matching with algorithmic support

Administrators can review and finalize mentor-mentee matches using Qooper’s algorithmic recommendations and matching tools.

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Customizable matching criteria and questionnaires

Qooper allows administrators to define profile questions, select matching criteria, and assign weights—using custom configurations or ready-made templates based on proven best practices.

 

Automated mentor-mentee introductions

Qooper automatically sends introduction notifications to mentors and mentees, helping participants start conversations faster while enabling administrators to scale programs efficiently.

qooper mobile app

#1 Rated Software, Service & Integrations For
Mentorship & Learning

Starting a Mentorship Program? Qooper is easy-to-use!

"Qooper has everything you need to get a mentorship program off the ground, no custom development or heavy lifting required. It's easy to implement, simple to navigate as an administrator, and provides a seamless experience for both mentors and mentees with its intuitive user interface. Highly recommend."

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Lea B.
Tommy Bahama

Support from day one.

"Thank you for being an excellent partner who has supported us from day one, following up and keeping us up to date with the new features, preparing a business case for us (which is extremely helpful for me because you have done half of my job), providing suggestions, and assisting me in managing our program despite our small team."

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Cindee P.
Cotiviti

Matched with the right mentor, engaged every step of the way!

"Qooper's matching algorithm paired me with the perfect mentor during Northwell's Inaugural Mentorship Program – what we now call the world's best algorithm, because it was spot on! It made the entire mentoring journey feel personalized and intentional from day one."

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Dani L.
Northwell Health
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FAQ

What is a mentor matching algorithm?
A mentor matching algorithm is a structured, data-driven system that evaluates mentor and mentee profiles, goals, experience, and preferences to generate optimal mentor-mentee matches. Unlike manual matching, an algorithm-powered approach improves accuracy, scalability, and consistency across mentorship programs.
How does Qooper’s mentor matching algorithm work?

Qooper’s mentor matching algorithm analyzes participant data using configurable matching rules and weighted criteria. The algorithm generates matching scores that help administrators identify high-quality mentorship pairs aligned with career development, leadership development, and professional growth goals.

Can administrators control the mentor matching algorithm?

Yes. Qooper provides admin-led matching with algorithmic support, giving administrators full matching control. Admins can review algorithm recommendations, adjust matching rules, fine-tune weights, and finalize mentorship pairs—ensuring the mentor matching process aligns with organizational priorities.

How does a mentor matching algorithm reduce unconscious bias?

By relying on structured data and predefined criteria, a mentor matching algorithm reduces reliance on subjective judgment. This supports inclusive mentoring by minimizing unconscious bias and creating fairer, more consistent mentor-mentee matching outcomes across mentoring programs.

What criteria can be used in a mentor matching algorithm?

Qooper’s mentor matching algorithm supports customizable criteria such as:

  • Career development goals
  • Leadership development focus
  • Skills and experience levels
  • Communication style preferences
  • Availability and program-specific requirements

Admins can assign weights to each factor to create customised matching strategies.

Is the mentor matching algorithm suitable for large mentorship programs?

Yes. Qooper’s algorithm-powered mentor matching is designed to scale across complex organizations, supporting multiple mentorship programs simultaneously. The matching database and automated workflows eliminate manual matching bottlenecks while maintaining accuracy.

How is the Qooper mentor matching algorithm different from basic mentoring software?

Most mentoring software relies on simple rule-based matching. Qooper’s mentor matching algorithm uses advanced matching methodology inspired by matching markets and Two-Sided Matching, evaluating preferences from both mentors and mentees to produce stronger mentorship pairs and better mentoring experiences.

Can participants be involved in the mentor matching algorithm?

Yes. Qooper supports participant-led matching options alongside admin-led models. Participants can express preferences or priorities, which the mentor matching algorithm incorporates—balancing participant input with program structure.

What happens after the mentor matching algorithm creates matches?
Once matches are finalized, Qooper automatically sends mentor-mentee introductions to kickstart communication. This automation improves early engagement and helps mentorship relationships begin smoothly without administrative delays.

Want to explore more?

Discover how Qooper can help your organizational goals and people development today.