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Digital Trails of Work Stressors

This paper proposes a novel strategy to identify work stressors using metadata from most available workplace technologies such as e-mail and calendar. Stressor measurement has predominantly been done by self-reported questionnaires; yet it has proven imperfect due to selectivity and response biases. By addressing the questions of What work stressors can be diagnosed by digital exhaust without violating employee privacy? How to model such stressors and make use of the model most effectively? this pa-per makes scientific as well as practical contributions to organizational de-sign. The proposed strategy allows continuous monitoring of stressor levels and making quick data-driven decisions throughout an organization. It guides interventions by enabling benchmarking, experimentation, retrospective cohort analysis, and trend analysis of stressors. Besides, it can in-form survey design by help determining what questions to ask and to whom, and response interpretation by identifying stressors on which different measurement methods converge or diverge. Thus, with the proposed strategy, stressor measurement becomes less disruptive and more cost effective.