Using AI to Improve Engagement Surveys, Continuous Feedback

Improving employee engagement is at the top of many human resource leaders' to-do lists. But combing through an ever-growing amount of engagement survey data to extract actionable insights can be overwhelming. So industry vendors have created artificial intelligence (AI) tools designed to automatically analyze survey data to pinpoint themes and characterize the meaning of words or phrases. Tools like natural language processing (NLP) can save HR time and generate more-useful data along the way. SHRM Online spoke with Armen Berjikly, senior director of growth strategy for Ultimate Software in Weston, Fla., during the HR Technology Conference & Exposition for his thoughts on the state of NLP technology today, the pros and cons of using AI to analyze engagement survey data, and the importance of developing a code of ethics for using AI in HR. Prior to working at Ultimate, Berjikly was the founder and CEO of Kanjoya Inc., a workforce intelligence company that pioneered advancements in NLP technology dedicated to understanding human emotion.