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Using AI to evaluate employee performance with Rippling’s COO Matt MacInnis
No Priors: Artificial Intelligence | Technology | Startups
Quality of Work Product Trumps Perceived Contribution
Evaluating individual contributors, such as engineers, requires a focus on tangible work products rather than abstract notions of success like collaboration. The key indicators of career outcomes—such as promotions or performance terminations—are closely tied to the quality of their contributions. Effective assessment demands a careful analysis of their source code and the nature of their work, rather than simply measuring the volume of output. Key factors include the quality of code contributions, security considerations, and engagement with pull requests, rather than superficial productivity metrics.
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