It’s that time again: The oft dreaded performance-review season is here (or near). For many of us, this means synthesizing feedback, analyzing number-based scores, and writing comprehensive reviews that will support colleagues’ developmental goals. The process can be arduous, but what if gen AI could alleviate some of that burden? In a recent McKinsey Talks Talent podcast episode, partner Bryan Hancock and senior partner Lareina Yee present a use case for gen AI on the people front. “Hear me out: I don’t want generative AI actually generating somebody’s performance review; that needs the human in the loop, needs human judgment, needs empathy,” says Hancock. “[But] when I have each of the conversations with the 15 people that best know the person I’m evaluating, what if I had a draft I was already working from? It’s not a replacement for going through everything, but that initial synthesis would help me get more quickly to what I really need to probe for that person’s development and growth.” Learn more about how gen AI could potentially make performance reviews less distressing, and dive into other insights on the human side of things: delivering, and receiving, effective feedback.
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