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8 Ways How Background Check Technology has Evolved

Background Check Technology

Screening applications and verifying statements on resumes manually is a thing of the past. Background check technology has evolved to improve process efficiency, save HR departments time, and lower company costs. Technology has made background checks much less labor-intensive than they used to be. Here are some ways technology has evolved, perfecting the services offered by background check companies such as check people.

Intelligent Tracking Systems

Recruiters and hiring managers are taking advantage of technological developments, which help reduce bias and ease resume review. Automated Tracking Systems are powered by artificial intelligence (AI), which helps hiring managers become more efficient in analyzing candidate pools. Such systems help to narrow candidates down when hiring remotely, which is becoming increasingly common. In addition, AI helps to expand the applicant base on a global scale.  

Since most job applications are submitted online today, recruiters and HR professionals should upgrade to effective tracking systems. ATS helps them to filter candidates more efficiently and choose the best one for the job. This saves them a lot of time and lets them shift their focus to personal contact during the interview. When a hiring manager can focus on building a connection with qualified applicants, the hiring process goes much more smoothly.

Easy and Quick Verification

Businesses can use technology to quickly and easily screen and verify any information provided. As part of this process, you can send a screening request about a new candidate or employee to the platform. Their employment record is retrieved. As a result, your HR employees can spend the time saved on more pressing tasks.

Large enterprises have hundreds of job applications to screen in a very limited time. Fortunately, technology has reduced background check turnaround time to less than one business day. The use of these people search engines are also helpful hereof.

Accurate and More Reliable Results

As an employer, when you run a manual background check, you tend to lose lots of information. Using rudimentary technology, you can overlook many details about a person while performing a criminal record or reference check. 

Moreover, automated results are more accurate and of higher quality. For example, when the candidate fills out a form on your company’s site, all the data is automatically populated by the screening platform. Then, you can simply check the verification status. The background check results will be delivered to you online.

Real-Time Analysis

Machine learning and artificial intelligence have made it possible to detect potential problems that a human user would otherwise miss. AI helps hiring managers review numerous relevant databases and stay current on any changes. If an existing employee moves, gets a divorce or is arrested, an ongoing check will tell you that.

Automated tools verify and compare ID documents with any other information or documents the candidate has made available to the company. Live verification and facial recognition are two other AI-enabled aspects that make hiring easier.

Focus on Crucial Data

Thanks to machine learning, HR staff can focus on critical data. They need to process information about employment history, education history, identification, driving records, and more—and all from a myriad of sources. By focusing on the most important data, machine learning helps analyze, streamline, and interpret candidate information, eliminating the risk of duplication and helping protect useful insight in a focused way.

Making Data More Manageable

The latest background check technology helps those responsible for hiring process huge data volumes, especially when running criminal background checks on existing employees or job applicants. Using a negative database to screen can help a company choose only candidates without a criminal record.

Review of Resumes Via Applicant Tracking Systems (ATS)

One factor recruiters and human resource experts should anticipate is the continuing advancement of human resource technology that streamlines the resume screening process and can help minimize prejudice. Artificial intelligence (AI) is at the heart of Application Tracking Systems (ATS), which assist Hiring Managers in effectively sifting through candidate pools. Sifting through candidates becomes more challenging for remote recruiting as it extends the candidate pool globally.

However, employees should be aware that as AI becomes a more sophisticated method for assisting in applicant acquisition, regulations providing security for applicants tested by AI options as part of the recruiting phase become more prevalent.

With all career applications now being sent online, businesses must use the best available applicant tracking system. Recruiters and recruiting managers must communicate to candidates the critical nature of writing an AI-friendly resume.

Otherwise, the top potential is likely to go unnoticed. When the applicant tracking system (ATS) works for you more than against you, it is easy to waste less time on menial activities and candidate filtering. You should also invest in the human component of the application review process. As recruiting managers can concentrate on developing relationships with potential applicants from the start, the selection process can run more smoothly.

Processes for Video Interviews

Although nothing beats speaking with someone in person, virtual interviews have advantages. If a business learns the art of video interviewing, it opens up a world of exciting opportunities for the future. It is well-known that video interviewing is an art and a skill. Occasionally, an applicant is an ideal fit for a job but misunderstands interview standards, resulting in a subpar video call that does not highlight their ability.

Establishing transparent protocols can avoid disorganized or awkward video interviews. Ensuring that the human resources staff is comfortable troubleshooting simulated interview set-up problems is important. Spending less time “checking” applicants through complicated or trick questions during a remote interview makes sense.

Perhaps a research assignment may be implemented for such purposes. The objective is to identify potential and prepare applicants for success. Establishing goals for career seekers in advance will help eliminate any unnecessary awkwardness. For instance, the HR team at Bloomberg uses strategies such as incorporating a simulated interview prep call and working on simulating an in-office experience.

Hopefully, this article will give you a reliable overview of why background-checking technology has evolved in the past few years. You can also share your thoughts by commenting below!



Published by Editorial Team.