Talent University
For years, career sites have been plagued with problems. Applicants struggle to find the right job to apply for. Applicants often have to fill out the same information multiple times. The sites aren’t personalized. Dropoff rates are high.
And for the employers, it’s not much better. These sites are hard to maintain. You have to file tickets with IT to make an update. And there is little good data and reporting.
There’s now a better way to manage career sites.
New content management systems make it easy for companies to manage their career sites.
These systems use a “what you see is what you get” model. So you don’t have to be a coder to make them work. You can move simple widgets around to design the site, a very user-friendly experience.
Most importantly, artificial intelligence provides an amazing experience for candidates.
Candidates don’t have to search around your career site only to come up empty. Instead, they upload a resume or CV, and the website shows them all the jobs that match their skills and potential. That’s due to deep-learning AI that understands more than one billion careers. Once the match is shown, it’s very simple to apply in just a few clicks.
Candidates also see content that’s relevant to them. A military veteran might see videos from other veterans who work at the company. A remote worker may see company events coming to their area. A college graduate can see other alums of their school who already work at the company.
A built-in chatbot helps candidates get their questions answered. Talent Communities provide personalized information, not one-size-fits-all newsletters.
Employers who use these AI-driven career sites are seeing great results. An airline is seeing 35 percent of its career site visitors apply for a position, far more than before. A technology company is receiving 91 percent more female applicants. These and other companies are getting more high-quality applicants and filling roles faster.
Career sites with powerful AI and a built-in content management system are the future of the candidate experience.