Resources/Glossary/HR and people ops
People analytics is the practice of using workforce data to answer business questions about hiring, retention, pay, performance and engagement. It turns records from the ATS, HRIS, payroll and surveys into evidence for decisions about people.
In one line
Using workforce data to answer questions about hiring, retention, pay and performance.
A people analytics project starts with a question, such as why engineers leave in their second year or which sources produce hires who stay. The team then joins data from several systems, cleans it, and looks for patterns. Results range from simple dashboards on headcount and turnover to statistical models that estimate which factors predict attrition.
In talent acquisition, people analytics covers funnel conversion, time to fill, source quality, offer acceptance and quality of hire. Linking recruiting data to later performance and retention is the most valuable step and the hardest, because it needs clean data across the ATS and HRIS.
Privacy and fairness matter. Workforce data is personal, so teams should limit access, aggregate results where possible and check models for adverse impact before acting on them.
Recruiters and HR leaders are asked to justify budget and headcount. People analytics lets you show which sources, tools and processes work, using real numbers from your own team. Agencies can use the same approach on their desks to see which clients, roles and recruiters bring in placements that stick.
A TA leader joins ATS and HRIS data for 300 hires over two years. Referral hires stayed past one year more often than job board hires, and one interview stage added a week without changing outcomes. She shifts budget toward referrals and removes the extra stage, then tracks both changes over the next two quarters.
A few of the people analytics tools in our directory. Prices are the published starting price on the date we last checked.
HR reporting tells you what happened, such as headcount or turnover last quarter. People analytics goes further and asks why, using combined data and analysis to explain patterns and guide decisions.
Common sources include the ATS, HRIS, payroll, performance reviews, engagement surveys, learning systems and exit interviews. The richest insight usually comes from linking recruiting data to what happens after the hire.
They can start small with a spreadsheet tracking hires, sources, time to fill and early turnover. The habit of asking questions of your data matters more than expensive software.
Written by recruiters at Work Insiders. Part of the recruiting and HR tech glossary. Updated October 2026.
