Applicant flow data is a set of data that captures the number of applicants at each stage of the hiring process. This data can be used to track the efficiency of the hiring process and identify areas where improvements can be made.

The data is typically collected by tracking the number of applications received, the number of applications that are screened, the number of interviews conducted, and the number of offers made. This data can then be used to calculate the percentage of applicants that make it to each stage of the process.

Applicant flow data can be used to identify bottlenecks in the hiring process. For example, if a large percentage of applicants are dropping out after the screening stage, it may be indicative of a problem with the screening process. Alternatively, if a large percentage of applicants are not being selected for interviews, it may be indicative of a problem with the application process.

Applicant flow data can also be used to measure the efficiency of the hiring process. For example, if it takes an average of 30 days to fill a position, and the data shows that the average time to interview an applicant is 20 days, then the efficiency of the process can be calculated as 67%.

Improving the efficiency of the hiring process can lead to significant cost savings for an organization. For example, if a company spends $100,000 on recruiting and hiring for a vacant position, and the process is made 10% more efficient, then the company would save $10,000.

Applicant flow data can be a valuable tool for organizations that are looking to improve their hiring process. By tracking the data and analyzing the results, organizations can identify areas where improvements can be made.

Why is applicant flow data important?

Applicant flow data is important because it can help employers understand where their applicants are coming from and how they are flowing through the hiring process. This data can be used to improve the efficiency of the hiring process, identify bottlenecks, and make sure that qualified applicants are not falling through the cracks.

How can applicant flow data be used?

Applicant flow data can be used to improve the efficiency of the hiring process, identify bottlenecks, and make sure that qualified applicants are not falling through the cracks.

Some specific ways that applicant flow data can be used include:

• Identifying which sources are the most effective at generating quality applicants
• Determining which stages of the hiring process are taking the longest and need to be streamlined
• Ensuring that all qualified applicants are being properly screened and interviewed
• Tracking the progress of individual applicants through the hiring process

What are the benefits of using applicant flow data?

The benefits of using applicant flow data include improved efficiency in the hiring process, identification of bottlenecks, and assurance that qualified applicants are not falling through the cracks.

How can applicant flow data be collected?

Applicant flow data can be collected in a few different ways. One is to simply track the number of applications that come in from each source, such as job boards, employee referrals, or career fairs. Another way to collect applicant flow data is to track the number of applicants who make it to each stage of the hiring process, such as screening, interviews, and offers.