Personalized employee value proposition: AI and employee engagement

Post portada - Propuesta de valor personalizada para el empleado: IA y employee engagement

Personalized employee value proposition: AI and employee engagement

Post - Propuesta de valor personalizada para el empleado: IA y employee engagement

Debido a los avances tecnológicos, las empresas tratan de adaptarse y cada vez más recurren a la inteligencia artificial IA y tiene en cuenta el employee engagement. Su objetivo es hacer frente a la actual crisis de compromiso por parte de los empleados.

Las compañías buscan aprovechar las grandes cantidades de datos que disponen de los empleados para personalizar la experiencia del empleado en el centro de trabajo. Además, ayuda a comprender el ciclo de vida de los empleados y, así conseguir crear experiencias más personalizadas y maximizar el compromiso.

How can we do this?

With data analytics we can provide HR with a projection of the ideal experience for each individual employee. With the increase in the speed of data transfer, the volume of data collected and the variety of data, HR managers will be able to organise highly personalised employee experiences. Employee lifecycle analysis (recruitment, induction, development, retention, separation) can help organisations build a personalised approach. This will become more attractive for employees and more productive for employers.

Today, some HR departments are using artificial intelligence platforms for recruitment and talent acquisition. This allows recruiters to make more effective use of their time and speed up the hiring process. Instead of reviewing hundreds of resumes manually, they can easily narrow down the number of candidates passing through a filter and thus interview the right ones from the start. With this, it allows HR professionals to do their job more efficiently and focus on higher-level tasks.

Today we have a variety of continuous listening and analytics tools that foster the ability to monitor and improve employee engagement. By analysing large amounts of data, HR professionals can identify and predict which employees are at risk of demotivation. Then it is a matter of taking action and solving the problem pre-emptively. Thanks to the predictive analytics of AI systems that allow us to discover patterns of behaviour. Above all, companies can take measures to avoid churn and extend the life cycle of employees. The result of this would give companies the ability to customise the way they manage in the best possible way to improve both employee motivation and performance.

In a nutshell

Employers can apply AI to identify the best career development for each employee and extend the lifecycle by reducing attrition and creating positive benefits to motivate them. Although analytics and AI are not applied to compensation and benefits, there is huge potential to use data to solve employee problems in these two areas:

  1. Personalisation of benefits makes it possible for companies to save time and money.
  2. The personalisation of benefits makes it possible to improve employee engagement.

At Qaleon we count on Empleable to help your employees grow in a personalised way.