We all know that engaged employees create better work. They are happier and they work harder. They make bigger contributions. Their companies are more prosperous.
Companies that demonstrate high employee engagement levels report a 4X multiple on earnings-per-share compared with their competitors. That translates into a 21 percent greater profitability, higher employee retention, and more loyal customers. Yet when the folks at Gallup surveyed U.S. workers about engagement at work, the results were sobering. Eighty-five percent of workers reported they were not engaged or “actively disengaged” at their workplace.
In a word: Wow.
Progressive companies have started to re-imagine the workplace to increase engagement, attract new employees, and keep top talent on board. They’re embracing technology, including artificial intelligence (AI) and machine learning (ML).
Many companies are using AI and ML in the hiring process. By analyzing core competencies among top performers, AI can create sophisticated models to screen candidates. While this doesn’t guarantee all hires will be superstars, it does increase the odds. Machine learning can improve the process as more data is input.
By the time you interview someone, you likely believe they have at least the basic skills you are looking for in a candidate. The next step is to understand their mindset and if they will be a good culture fit. Joshua Spilker, Chief Editor at Recruitment.com, explains, "The last point is the most important, especially if you are viewing a range of candidates with similar skillsets. You’ll be most interested in their mindset and mental frameworks for decision-making, rather than trying to see if certain brain teasers will stump them."
Tech can create simulations to assess their skills in new ways. AI can adapt assessments to a candidate’s level of expertise on the fly. AI-fueled testing can assess not only whether candidates have the right answers but help assess their level of engagement.
Rather than one-size-fits-all training, interactive multimedia training courses can keep team members engaged. Those that easily master concepts can be directed to more challenging content, while those struggling can be given more remedial instruction.
“Some companies are already using AI in the HR space to personalize what you need to learn to grow your career,” said Jeanne Meister, author of The Future Workplace Experience when speaking to Forbes.
A key factor is keeping team members engaged is helping them to manage their career path by developing the skills they need to advance their careers. Companies are incorporating AI to create personalized career maps that are updated to reflect a worker’s personality and learning styles. It can help identify future leaders and suggest skills workers need to grow.
AI can streamline workflows by automating repetitive tasks. This eliminates human errors while freeing up team members time to take on more challenging work.
AI-driven chatbots are taking on a bigger prominence in the workplace. Chatbots are now performing a wide range of tasks, including scheduling, transcribing meetings, proofreading, and organized projects. Collaboration tools allow teams to work more closely regardless of physical location. This opens up the job pool and allows you to tap into top talent you might not have access to otherwise.
Employee engagement is one of the biggest challenges many companies face. Injecting AI into the process can help increase engagement levels and produce better results.