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Sentiment Analysis ‒ HR’s third-eye that lets you read the employee’s mind

Employee engagement has a significant impact on employee retention, with highly engaged employees being 87% more likely to stay. But it hasn’t been an easy job for HR to precisely figure out what clicks with the employee or what doesn’t.

Organizations have been dealing with the problem of dissatisfaction and non-engaged workers for a long time now. Often, corporate appraisal and feedback processes are long and tedious with no real-time benefit.

Technology has always come to rescue to facilitate change and improve the landscape. Artificial intelligence specifically has boosted the scope of employee engagement through use of methods like advanced sentiment analysis.

Driven by natural language processing text analysis and other allied AI innovations, sentiment analysis strategically improves business processes by giving managers the power to sensibly analyze a vast amount of valuable data derived from present and past employees. Through deeper analysis of email conversation, biometric data, language, and comments, companies are finding it easier to identify red flags, address underlying issues and promote a sense of belonging. For example, companies can flag a positive or negative sentiment resulting from a new software application rollout, a relocation, a management change, or a modification in the benefit plan.

With AI-fueled sentiment analysis, organizations can understand how an employee is feeling about new changes or current practices within the office - the way his/her boss behaves, the work environment, relationship with his/her colleagues, introduction of new technology, new pay scale and a lot more.

Using a mix of survey responses, emails, comments and other relevant factors, sentiment analysis discovers areas that might need intervention by an HR manager. It has already found to have several applications and implications in the corporate environment. It can be programmed to determine how engaged employees remain throughout the day. By identifying exact words and phrases, an email-based sentiment analysis tool can help infer insights based on an individual or departmental level.

Another great way to utilize sentiment analysis technology is to take insights from the feedback and comments posted by employees on the company’s public platforms, internet or performance review platforms.

Algorithms running sentiment analysis easily identify smart trends by analyzing vast data and providing qualitative feedback to offer actionable insights on how to engage employees. This provides a holistic picture of engagement levels and helps the management in evaluating and rolling out changes based on employee aspirations.

Artificial intelligence-powered sentiment analysis tools works at the granular level and serves as a potent solution to the problem of deteriorating employee engagement metrics.

  • Posted Date: 11-MAR-2020