Aliyah Jones was having trouble paying attention to the farewell toasts. Although she was sad to see her longtime colleague Anne Bank go, she was more consumed with trying to figure out who should replace her.
Case Study: Should an Algorithm Tell You Who to Promote?
A VP decides which candidate to promote.
Summary.
In this fictional case, a vice president of marketing and sales for the cleaning division of a global consumer products company is struggling to make a promotion decision. She has two strong internal candidates. One is a brand manager on her team with whom she’s worked closely over the past few years. The other is a rising star from a different division who was recommended by the company’s new people analytics program. Both seem equally qualified, though the vice president knows one candidate far better and is therefore worried that she might be biased, in part because the candidate is also a woman. With the decision looming, she has to decide whether to trust her intuition or the firm’s algorithm.
A version of this article appeared in the May–June 2018 issue (pp.147–151) of Harvard Business Review.
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Accelerate your career with Harvard ManageMentor®. HBR Learning’s online leadership training helps you hone your skills with courses like Leading People. Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.
What you need to know about being in charge.