We've all been there as Engineering Managers: facing a complex issue that does not have a straightforward answer. We apply our past experience but are not sure whether we miss anything. For example, we were looking for that rockstar candidate during hiring, but all we found were candidates that were not perfect. Among these candidates, who is the best for the team?
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Making Better Decisions with AI as…
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We've all been there as Engineering Managers: facing a complex issue that does not have a straightforward answer. We apply our past experience but are not sure whether we miss anything. For example, we were looking for that rockstar candidate during hiring, but all we found were candidates that were not perfect. Among these candidates, who is the best for the team?