Do You Know These Things that Applicants Know?

Yesterday we looked at three things that every recruiter needs to know about their candidates. Today we present four more must-knows about candidates.

1. Candidates expect more information in the job listing. It’s not enough to describe the company and job. The top things candidates said they want to see in a job posting include:
   • Salary—74%
   • Total benefits package—61%
   • Employee ratings—46%
   • Contact info of hiring manager—40%
   • Work from home options—39%
   • How the company provides work/life balance—35%
   • Photos/videos of the work environment—31%
   • Team structure and hierarchy of the role—27%
   • How many people applied—25%
2. Millennials may swipe left if your mobile capabilities are weak. One in 10 Millennials said they would drop a company out of consideration if they couldn’t apply for a job via their mobile device. So if your site isn’t mobile ready, your pages take too long to load, or you have poor navigation through mobile, you could be losing fresh new talent.
3. You may not be covering all your bases. Consumers audiences are very fragmented. Jobseekers use up to 16 sources in their job search. Are you everywhere they are?
4. You may not know how good or bad your process is in the eyes of candidates. Only 31 % of employers claim to have tried applying to one of their company’s open jobs to see what the process is like. Put on that jobseeker hat and go to one of your jobs, and go to your career site, and interact with your company through the eyes of the jobseeker so you can make improvements where needed.

Survey Methodology

In partnership with Inavero, CareerBuilder surveyed 4,505 workers, aged 18 and over and 1,505 hiring decision makers—between February 5, 2016, and March 1, 2016—in the United States and 505 workers in Canada in an effort to understand the factors that influence candidates’ job search behavior. With pure probability samples of 505 and 5,010, one could say with a 95% probability that the overall results have sampling errors of +/- 4.01 and +/- 1.38 percentage points, respectively. Sampling error for data from subsamples is higher and varies.