People Analytics and Invisible Labor

Abstract

This article explores two trends in labor and employment law: people analytics and invisible labor. People analytics includes the practice of employers using quantitative data to make objective decisions regarding employees. Invisible labor includes work that is unrecognized because it involves emotional work, or that is hidden due to the intermediation of technology. The article then discusses the paradox of the two trends. As people analytics relies on data for decision-making, how can employers use data analytics if there are increasingly invisible components to work? The article considers solutions: should people analytics include components of hidden labor, explicitly recognize and exclude invisible labor from people analytics, or a combination of both?

Keywords: people analytics, employee data, quantitative data, performance metrics, invisible labor, emotional labor, emotional management, employment discrimination