4 Best Candidate Screening Methods for Recruiting Top Talent

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In today’s hiring climate, where companies are under the gun to hire the right people quickly and efficiently, screening candidates is a crucial part of the process. The first step in screening is evaluating candidates’ resumes and work history.

If you’re in a position to hire new staff, you know how important it is to have a thorough and effective screening process. Not only does this help ensure that the best candidates are coming through your door, but it also reduces the amount of time spent on interviews by eliminating candidates who aren’t a good fit from the beginning.

Candidate screening can determine whether people are job-ready or not.

Candidate screening is a process that helps you to determine whether a candidate is a good fit for the position you are hiring for. The candidate screening process can include a number of different methods and tools, including interviews, assessments, and personality tests.

Candidate screening is an important part of the hiring process because it helps you to identify top talent quickly while reducing your time-to-hire and cost per hire. The screening can be done manually, for example, through telephonic calls, but that eats up a lot of time. One of the best ways is to adopt AI-based screening tools along with a little manual effort.

It also gives you an opportunity to find out more about candidates before making them offers, so that if they’re not right for the role or company culture after all, you can move on without wasting too much time or money.

Your company can’t afford to hire someone who isn’t qualified, and neither can you afford hiring someone who isn’t a cultural fit.

Fortunately, there are a variety of tools and techniques you can use to screen candidates during the hiring process. There’s no one-size-fits-all approach that works for every company or industry; we all have different needs when it comes to identifying top talent. However, there are some best practices that apply universally when it comes to finding great new employees!

Social media screening

Social media screening can be used to gather information on candidates’ personality, work ethic, experience, and skills. Here are a few ways to get the most out of social media screening:

  • Check out their LinkedIn profile. LinkedIn is one of the best sources for this type of information—it gives you an idea of what (and who) they’ve been reading about lately, any awards or honors they’ve received at work (or elsewhere), and how long they’ve been there.
  • Skim through their Twitter feed or other social media accounts. While it’s important not to take everything at face value when looking through someone’s online presence, you can still glean some valuable insight into their interests and personality by paying attention to what kinds of topics they like sharing with others online—and whether those topics align well with what your company does/how it feels about certain issues in today’s climate (for example: if someone posts something political).

In addition to the standard social media platforms like Facebook, Twitter, LinkedIn, and Instagram there are several other sites that you can use to collect this data:

  • Google+
  • Quora
  • Reddit
  • Yelp!

AI chatbot

One of the most important steps in your candidate screening process is to determine which candidates should be ushered into the interviewing stage. If you don’t spend enough time doing this, you run the risk of wasting time on unqualified candidates and missing out on great ones.

Fortunately, there are several ways to ensure that only qualified candidates get through your hiring funnel. One method that’s gaining popularity among companies is using AI chatbots for candidate screening.

AI chatbots can be used to screen candidates for specific jobs, positions or skills, and they can also answer FAQs and help candidates schedule interviews while maintaining a human touch and these bots are getting smarter every day!

ATS (applicant tracking system)

  • ATS (applicant tracking system) software can help you manage applications, including the ability to automatically rank them based on a candidate’s qualifications.
  • This is especially useful for businesses with multiple locations, allowing them to centralize their recruiting efforts and share information between offices.
  • It also makes it easier for recruiters to review hundreds of resumes without feeling overwhelmed by the task at hand.
  • ATS tools are often used in conjunction with other screening methods such as phone screens, interviews or tests because they provide additional insight into candidates’ skills and experience by pulling pertinent data from their resumes.

Automatic resume parsing

Automatic resume parsing is based on the revolutionary NLP technology. This will help you get structured data from resumes easily and effectively. Here’s a quick refresher on NLP

What is NLP?

NLP stands for Natural Language Processing. It is a field of research in artificial intelligence that emphasizes the study and design of systems that can understand, process and generate human language to accomplish tasks such as question answering, information retrieval, text mining, and machine translation.

How does NLP work?

NLP is used in resume parsing to extract structured data from resumes automatically by using machine learning algorithms. The ability to extract structured data from resumes will help you screen candidates more efficiently by analyzing their education and work experience instead of just focusing on keywords from the job description.

Final thoughts

There is no perfect hiring method, but we believe that these 4 methods of screening are the best you can use to get the talent you need. The key takeaway here is that the tools we discussed can be used in a variety of ways and are adaptable to any company’s needs regardless of size.

All of these tools have their own unique benefits as well as disadvantages. We recommend using a combination of all four methods so that you have a better chance at finding top talent for your organization.

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By Sidharth

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