HR Metrics

The core HR metrics by area

There are hundreds of possible measures. Most organizations need 10 to 15 that leaders actually review. A practical starter set:

Hiring. Time to fill, time to hire, cost per hire, offer acceptance rate, quality of hire (for example 90-day retention and performance of new hires), and source of hire. These are covered in depth under recruiting metrics.

Retention. Overall and voluntary employee turnover, first-90-day turnover, regrettable attrition, retention rate for high performers, and average tenure.

Workforce and cost. Headcount and FTE versus plan, labor cost as a percentage of revenue, overtime hours as a share of total hours, revenue or output per FTE, and span of control.

Attendance and engagement. Absenteeism rate, unplanned absence, engagement or eNPS scores, and survey participation.

Development. Training hours per employee, compliance training completion on time, time to proficiency for new hires, and internal fill rate for open roles.

Fairness and compliance. Representation by level, promotion and pay equity by group, and selection rates in hiring checked for adverse impact.

Formulas for the most-used HR KPIs

• Turnover rate = separations ÷ average headcount × 100, for the period.
• First-90-day turnover = new hires who left within 90 days ÷ total new hires in the cohort × 100.
• Retention rate = employees at the start of the period still employed at the end ÷ employees at the start × 100. Note that it ignores people hired during the period.
• Absenteeism rate = unplanned absence hours ÷ scheduled hours × 100.
• Time to fill = days from requisition approval to offer acceptance, averaged across filled roles.
• Cost per hire = (internal recruiting costs + external recruiting costs) ÷ number of hires.
• Overtime ratio = overtime hours ÷ total hours worked × 100.
• Internal fill rate = roles filled by internal candidates ÷ total roles filled × 100.

Use a written definition for each one. Disputes over whether contractors count in headcount, or whether transfers count as turnover, waste more leadership time than the metrics save.

Benchmarks: use them carefully

Industry benchmarks are useful for orientation and dangerous for targets. Turnover in frontline hourly roles such as retail, food service, warehousing and contact centers commonly runs far higher than in professional roles, often 50% or more a year compared with low double digits for salaried office staff. That gap is about the work and labor market, not HR performance.

The best benchmark is your own trend, segmented. Compare a site with itself last year, or night shift with day shift in the same building. Those comparisons control for most of the factors that make external benchmarks misleading.

Building an HR dashboard leaders will use

A good HR dashboard answers three questions on one screen: are we staffed to plan, are we keeping the people we hire, and what is the workforce costing us. Put five to eight metrics at the top, each with a trend line, the target and a comparison to last year. Let users filter by location, department, manager and job family.

Make every number drillable. When turnover rises at one site, the next question is always which team and which tenure band. If the dashboard cannot answer that in two clicks, people go back to asking HR for spreadsheets.

Update frequency should match decision speed. Monthly is enough for executive reviews. Operations managers in high-volume environments need weekly or daily views of absence, open shifts and new hire attrition.

Common mistakes

• Tracking too many metrics. A 40-metric dashboard gets ignored. Choose the few tied to current business priorities.
• Reporting averages only. An average time to fill of 32 days can hide a 6-day hourly process and a 110-day engineering process. Segment by job family.
• No link to business outcomes. Turnover becomes interesting to leaders when you show its cost and its effect on service levels or output.
• Inconsistent definitions across sites. Standardize before comparing.
• Measuring without acting. Every metric on the dashboard should have an owner and a threshold that triggers a review.

From HR metrics to people analytics

Metrics describe what happened. People analytics explains why and predicts what comes next. The step from one to the other usually starts with segmentation and cohort analysis: turnover by hiring source, by manager, by shift pattern, by pay level relative to market. Once those patterns are clear, the organization can test fixes and measure the effect with the same metrics, closing the loop.