Marlee helps SAP unlock intelligent mentor matching

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SAP, a global enterprise software leader, wanted to improve how it matches mentors and mentees in its Business Women’s Network (BWN). Together with a multinational telecommunications company, SAP used Marlee to infuse intelligence into their matching process: aligning mentors and mentees based not just on experience, but also motivations and work styles. The result: stronger rapport, deeper collaboration, and more impactful growth for emerging women leaders.

About SAP:

SAP is a multinational software corporation that develops enterprise software to manage business operations and customer relations. In this case study, SAP collaborated with a global telecommunications company to deliver leadership mentoring via their Business Women’s Network.

‍Industry: Cloud Software ‍
Website: https://www.sap.com ‍
Employees: 115,736 (SAP)

Challenges:

‍SAP and a multinational telecommunications company hosted the Business Women’s Network (BWN) programs to mentor emerging women leaders and help them grow their careers across both companies.

The committee sought a data-driven technology that could provide deeper insights into matching mentors and mentees to build upon the post-program surveys.

Previously, matching was based on the experience, capabilities and aspirations that mentees were seeking. These evaluations and matches were manually conducted through interviews and shared discussions on suitability between mentors and mentees.

SAP and a multinational telecommunications company wanted to instil intelligence into their process and turned to Marlee for this capability.

Solution:

In addition to experience, skills, capabilities and a survey on the goals of the mentoring relationship, SAP and a multinational telecommunications company used Marlee to match mentors and mentees based on key motivations and attitudes, which helps to optimize unique strengths for leadership and collaboration style.

It also allows mentees to pinpoint and model specific motivations seen in mentors.

Results:

‍Working with Marlee provided the opportunity to use data to match mentees and mentors. With it came a fresh perspective and better understanding of diverse work styles, but more importantly, it allowed the mentor and mentee to use Marlee as a collaboration tool for discussion and review on areas of concerns, growth, feedback and support.

“Marlee allows you to analyse a person’s characteristics and natural fall-backs, which allowed us to focus on matching profile needs and wants rather than geography and time zones. These deep insights lead to a positive outcome for both mentors and mentees as they are being actively heard, helped, and coached to achieve their desired outcomes. All subjectivity is removed, and we can focus on the employee’s needs and growth, to foster an environment of inclusion, support, and belonging.”
—Lorraine Longato, Business Innovation Strategist, SAP

Future:

‍Marlee offers deeper insights into the dynamics that shape successful mentor-mentee relationships. By using data to inform future matching decisions, program leaders can better understand what drives rewarding outcomes, and uncover additional factors to consider when designing mentoring programs with similar goals.