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Hiring Intel

Applicant Tracking System (ATS): Streamline and Organize the Hiring Process Efficiently

September 25, 2024

Hiring Intel

Applicant Tracking System (ATS): Streamline and Organize the Hiring Process Efficiently

September 25, 2024

Photo by Resume Genius on Unsplash

A strong talent acquisition process is critical to the success of thriving organizations. However, the recruitment process often doesn't receive the attention, investment, and focus it deserves. As organizations continue to struggle with constant skills shuffling, finding the perfect hire can consume a lot of an organization's time and resources, impacting the bottom line.

To come out on top, the hiring team needs the right technology. Enter the Application Tracking System (ATS), an innovative technology tool that helps navigate the complexities of talent acquisition. This article explores how leveraging this tech tool can help organizations navigate the recruitment maze.

ATS: Your Recruitment Sherpa

Applicant Tracking Systems (ATS) automate the requisition-to-hire process. This software allows HR and recruiting teams to streamline the hiring process from start to finish by automating the recruitment process, such as job posting, application screening, candidate communication, etc.

Specifically, the ATS:

  • Creates a database of relevant candidate information (resumes, cover letters, references, etc.)
  • Tracks candidates through the recruitment pipeline.
  • Eliminates the need to screen candidates manually, read CVs, schedule interviews, and send application updates.

Decoding the Outsized Role of ATS in the Hiring Process

The ATS is emerging as a critical component in shaping the candidate experience.

Traditional hiring methods often rely on human intuition, manual screening and static metrics, which can be time-consuming, biased, and inefficient. ATS algorithms can help overcome these limitations by automating tedious tasks, analyzing large data sets, predicting outcomes and providing insights that human recruiters may miss. Research has concluded that AI-powered algorithms play a significant role in enhancing the effectiveness of job advertising.

For example, a US e-commerce giant is using a machine-learning-powered ATS to identify candidates who can move forward in the hiring process based on their skills and other qualifications - without having to wait for a recruiter to review their resumes. All other candidates' resumes are referred to the recruiting team for review and consideration of next steps based on the candidate's likelihood of success.

Interestingly, the company found that candidates who were successful in the hiring process tended to be more diverse when using this tool. In addition, the tool increased the number of candidates who progressed to the next step in the interview process (and were ultimately hired) and did so in a fair way.

Keeping all this in mind, it is also crucial to ensure that the talent acquisition team has the bandwidth to manage the effort. Unfortunately, the impact of a poor candidate experience is often more damaging than it appears.

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Read full article here

A strong talent acquisition process is critical to the success of thriving organizations.
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