How One Company Matched Every Employee to a Mentorship

Episode 32 of The Diversity Career Podcast explores a novel mentorship model at a global consulting firm. Instead of leaving mentorship to chance, the company used an algorithm to match every single employee with a mentor based on career goals, background, and skills. Lucas and Luna discuss the results: a 25% increase in promotion rates for underrepresented groups within two years, and a dramatic drop in mentorship program drop-off. They also talk about the pitfalls — how the algorithm initially replicated bias by pairing junior women of color with senior white male mentors, and how the firm fixed that by adding a preference-matching filter. Specific, actionable, and honest about what didn't work. #Mentorship #AlgorithmicMatching #Consulting #DiversityAndInclusion #DEI #CareerDevelopment #UnderrepresentedProfessionals #PromotionRates #BiasInAI #PreferenceMatching #Retention #InclusiveWorkplace #TalentManagement #HRTech #TheDiversityCareerPodcast #FexingoBusiness #BusinessPodcast #Careers Keep every episode free: buymeacoffee.com/fexingo