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Simplifying Hyper Personalised Employee EX

Over the years, Employee eXperience has become a critical component of any successful organization, and companies usually focus on creating a positive experience for potential employees, from the job posting to the final offer. Now that's easier said than done.

Employers need to make sure that the job descriptions are crisp and clear and targeted to potential job seekers persona, the job requirements are well-defined, and the interview process is fair and engaging.

However, in today's world, EX has taken up a new avatar, and the term hyper-personalized experience as a buzzword has gained immense prominence. Technology has made it easier for companies to gather data to understand their employees (current and potential) nuances and idiosyncrasies to deliver relevant experiences.

Companies are increasingly using AI-powered technologies to gain insights into employee behaviour, preferences, and diverse interests, allowing them to create personalized experiences for total rewards, that employees will appreciate.

Companies are taking advantage of various types of technology to deliver such experiences. For example, companies are using chatbots to provide employees with personalized service, personalized learning and career recommendations, and even personalising health, well-being, and other associated benefits.

Last but not least, companies are going hyper-social to deliver hyper-personalized experiences. Companies using social media to target future employees with personalized content and messaging tailored to their interests is a day-to-day reality.

Using social media to track employee engagement and using this data to customize their experience further is a norm. As technology advances, companies will have access to richer data and powerful tools to create personalized experiences that will help them pre-empt employees needs and wants.

One of the most commonly asked questions is - How is employee engagement different from the hyper-personalized experience?

Well, to begin with, engaged employee has the commitment and enthusiasm for their job, while a hyper-personalized experience involves the use of technology to create personalized experiences for individuals.

Employee engagement focuses on improving the relationship between an employee and their job, whereas hyper-personalized experiences are focused on providing a personalized experience tailored to individual preferences and needs.

What does the future of Hyper-personalized EX look like?

In time we will be seeing, advanced technology being leveraged to create an EX tailored to everyone.

For example, employers could use AI-powered technologies to create personalized onboarding experiences, provide customized feedback and recognition, and create career paths attuned to someone’s personal values and aspirations.

Employers could also use AI to customize learning experiences and deliver targeted learning journeys across different employee cohorts. With technology continuing to advance, hyper-personalized experiences will become more sophisticated and effective. For example, employers could use virtual reality to create a more immersive and engaging experience for employees in their workplaces around the world. Augmented reality could be used to provide employees with real-time feedback and guidance on shop floors.

In addition, organizations are already leveraging AI-powered chatbots to provide personalized support and feedback.

Hyper-personalized experiences are the future of employee engagement and will play a critical role in creating a work environment of the future.

The question to ask is - how will this future augment our preferences and aspirations? Mankind has never settled for less, and that's what is in store for us - a hyper-personalized experience fuelling aspirations and wants, to be more.



​An organization run by AI is not a futuristic concept. Such technology is already a part of many workplaces and will continue to shape the labor market and HR. Here's how employers and employees can successfully manage generative AI and other AI-powered systems.