5 Employee Sentiment Analysis Tools to Improve Employee Engagement in 2024
Expert Content

5 Employee Sentiment Analysis Tools to Improve Employee Engagement in 2024

Alessandro Beltramin

It’s no secret that employee sentiment is an essential component of a successful and productive workplace. With advancements in technology, companies are now able to measure this metric directly and accurately through a variety of employee sentiment analysis tools that provide valuable insight into how people feel about their work. By understanding the factors that influence employee sentiment and taking appropriate action, employers can create an environment that is both productive and positive for their team. What are the best tools for employee engagement?

Sentiment analysis tools – what are they and why should you use them?

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Employee sentiment analysis tools are software applications that analyze the level of satisfaction of employees based on their communication to identify potential problems and opportunities.

There are many reasons why companies should use sentiment analysis tools. The most important benefits include the possibility to:

  • identify potential problems and risks before they become larger issues.
  • track employee satisfaction and morale over time.
  • measure the effectiveness of initiatives such as training and onboarding programs.
  • help managers understand how their staff is feeling and make informed decisions.
  • make it easier to create targeted interventions to address employee dissatisfaction.
  • improve team collaboration and communication.

How to improve employee engagement? 5 tools that will help you

Although sentiment analysis technology is popularly used for marketing purposes, it can also make a difference in an employee-centric world. With proper tools, you’ll quickly obtain actionable insights that will help you boost people’s outcomes and satisfaction.

Are you wondering how to improve employee engagement at your company? Check out the following sentiment analysis tools:

  • KeenCorp – it’s an employee engagement platform that gives companies a real-time, comprehensive view of employee sentiment. The platform helps managers to assess employee engagement, identify potential issues, and take appropriate action.
  • MorphCast – this facial emotion recognition software is a versatile tool that you can use also in the corporate setting. With its help, you can monitor facial expressions of employees and observe their reactions. This information can be used to identify areas of dissatisfaction and to help managers address those issues. Additionally, emotion recognition software is useful in creating more personalized feedback that will make people feel valued and appreciated.
  • UltiPro Perceptionit’s a powerful sentiment analysis tool designed specifically for the corporate world. It provides a comprehensive view of employee sentiment and helps managers evaluate the effectiveness of initiatives. It also tracks key indicators of employee engagement, such as job satisfaction and motivation.
  • Intellica.ai – this AI-based tool helps managers detect potential risks before they become larger issues. It uses natural language processing to analyze conversations, detect potential problems and provide an in-depth understanding of employee sentiment, which you can use to create targeted interventions.
  • Jive Insights it’s one of the best employee engagement software that collects data from multiple sources about workplace trends, sentiment analysis, popularly discussed topics or progress of individual initiatives.

The takeaway

Sentiment analysis tools are a must-have for any organization that values employees. With their help, managers can understand how their staff is feeling and create targeted interventions to address any potential issues. 

Thanks to sentiment analysis, companies are able to measure the effectiveness of undertaken initiatives and boost employee engagement.

Board the AI train, 2024 is the year of its mass adoption!

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the Author

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Alessandro Beltramin

Professional information engineer with a Master's Degree in Computer Engineering, Alessandro is responsible for the development of MorphCast Emotion AI SDK.