How can you use sentiment analysis to improve employee retention and performance?

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Sentiment analysis is a technique that uses natural language processing and machine learning to identify and measure the emotions, opinions, and attitudes expressed in text. It can help you understand how your employees feel about their work, their colleagues, their managers, and your organization. By applying sentiment analysis to employee feedback, surveys, reviews, and social media posts, you can gain valuable insights into what motivates, engages, and satisfies your workforce, and what causes them to disengage, underperform, or leave. In this article, you will learn how you can use sentiment analysis to improve employee retention and performance in four steps.

Key takeaways from this article
  • Stay interviews:
    Proactively conduct 'stay interviews' to learn what might lead to employee exits. This open dialogue makes workers feel heard and valued, and can unveil actionable insights to enhance their job satisfaction.
  • Real-time data collection:
    Gather feedback from tools your team uses daily, like chat apps. It's a direct way to capture genuine sentiments without the bias of formal surveys, giving you instant, accurate insight into your workforce's feelings.
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