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Case Study: How AT&T Uses Predictive Analytics to Understand the Drivers of Employee Engagement

Case Study: How AT&T Uses Predictive Analytics to Understand the Drivers of Employee Engagement

AT&T is focused on increasing engagement across its broad workforce of 250k+ employees globally. The company has long used Employee Net Promoter Score (eNPS) surveys to understand the attitudes and engagement level of its employees. Beginning in February of 2016, the company’s workforce analytics team sought to deepen that understanding by combining employee event and demographic data (e.g. promotions, supervisor changes, role, etc.) with survey scores. In this presentation, both Matthew Lucy, AVP, Workforce Analytics, AT&T and Matthew Solomon, Principal, Advanced Analytics, AT&T discuss how they:

  • Used predictive and statistical modeling to understand the relationships between a variety of data
  • Moved from simple up/down metrics (the “what”) to deeper analytics (the “why”)
  • Discovered what impact supervisors and leaders are truly having on their employees

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