Summary
HR metrics are the quantitative measures a people team uses to understand the workforce and the effect of its own work: how many people leave and how fast they are replaced, what hiring costs, how often people are absent, how much overtime the business runs on, how engaged employees say they are, and what each person contributes to revenue. The useful set is smaller than most dashboards suggest. Twenty metrics cover retention, hiring, attendance and time, cost and productivity, and engagement, and each has a standard formula that should be written down once and applied the same way every period. The metrics only earn their place when they are compared against a baseline, segmented by team, and tied to a decision someone will actually make.
Half of these metrics depend on accurate hours and attendance data. E-Monitor's reporting dashboards supply the time, attendance, overtime and productivity inputs automatically, so HR metrics rest on observed data rather than estimates. Start free →
What HR Metrics Are and Which Ones Matter
HR metrics are standardised measurements of the workforce and of HR processes. They differ from people analytics, which is the practice of finding patterns and causes in the data, and from workforce analytics, which extends the analysis to productivity and operations. Metrics are the raw material; analytics is what you do with them.
The failure mode of HR reporting is volume. A dashboard with sixty tiles is not read, and metrics that nobody acts on are collected at a cost and ignored. The twenty below are the ones that most often change a decision, grouped into five families. For each, the formula is given in a form that can be written into a spreadsheet or BI tool, followed by a worked example and, where reliable public benchmarks exist, a sense of what good looks like. Benchmarks vary widely by industry, so treat them as orientation rather than targets.
Retention and Turnover Metrics
| # | Metric | Formula | Worked example | Orientation |
|---|---|---|---|---|
| 1 | Turnover rate | Separations in period ÷ average headcount × 100 | 18 leavers, average headcount 150: 18 ÷ 150 = 12% annual | US private sector runs well above this; 10 to 15% is healthy in most office industries, far higher in retail and hospitality |
| 2 | Voluntary turnover rate | Resignations ÷ average headcount × 100 | 13 resignations: 8.7% | The number to watch; involuntary turnover is a management choice |
| 3 | Retention rate | (Headcount at start − leavers who were present at start) ÷ headcount at start × 100 | Start 145, 15 of them left: 130 ÷ 145 = 89.7% | Not simply 100 minus turnover, because hires during the period are excluded |
| 4 | New-hire turnover (first 90 days or first year) | New hires who left within the window ÷ new hires in the cohort × 100 | 4 of 30 hires left within 90 days: 13.3% | Above 15 to 20% in the first year points at hiring or onboarding, not at the employees |
| 5 | Average tenure | Sum of current employees' tenure in years ÷ headcount | Total 540 years across 150 people: 3.6 years | Segment by role; a falling average with stable turnover means growth, not attrition |
Average headcount is (start headcount + end headcount) ÷ 2, or the mean of monthly figures for an annual rate. Our guide to employee turnover covers the causes and the cost model behind these numbers.
Hiring Metrics
| # | Metric | Formula | Worked example | Orientation |
|---|---|---|---|---|
| 6 | Time to fill | Days from requisition approval to offer acceptance, averaged across hires | Total 1,260 days across 30 hires: 42 days | 35 to 45 days is typical for professional roles; weeks for hourly |
| 7 | Time to hire | Days from candidate's application to offer acceptance, averaged | Total 720 days across 30 hires: 24 days | Measures the candidate's experience; time to fill measures the business's |
| 8 | Cost per hire | (Internal recruiting costs + external recruiting costs) ÷ hires | $90,000 internal + $60,000 external, 30 hires: $5,000 | Published US averages sit in the low-to-mid thousands; executive hires are far higher |
| 9 | Offer acceptance rate | Offers accepted ÷ offers extended × 100 | 30 of 36 accepted: 83% | Below 80% usually means pay, speed or candidate experience |
| 10 | Quality of hire | Average of new hires' performance rating, 90-day retention and manager satisfaction, each scored 0 to 100 | (78 + 87 + 80) ÷ 3 = 82 | Define the components once and keep them; the trend matters more than the level |
Onboarding sits between hiring and retention; our guide to employee onboarding metrics covers time to productivity and the other early-tenure measures.
Attendance and Time Metrics
| # | Metric | Formula | Worked example | Orientation |
|---|---|---|---|---|
| 11 | Absenteeism rate | Unplanned absence days ÷ (headcount × working days in period) × 100 | 96 absence days, 150 people, 21 working days: 96 ÷ 3,150 = 3.0% | Around 1.5 to 3% is common; above 4% warrants investigation by team |
| 12 | Overtime rate | Overtime hours ÷ total hours worked × 100 | 1,100 overtime hours of 25,000: 4.4% | Sustained rates above 5 to 8% signal understaffing or a scheduling problem |
| 13 | Schedule adherence | Minutes in scheduled state ÷ scheduled minutes × 100 | Per agent, per day; team average 92% | 90 to 95% in contact centres; see our schedule adherence guide |
| 14 | Productive (active) time ratio | Active working hours ÷ paid hours × 100 | 6.2 active hours in an 8-hour paid day: 77.5% | Only measurable with activity data; use individual baselines, not cross-person rankings |
Formulas 11 to 14 are where most HR dashboards are weakest, because the inputs come from timekeeping rather than the HRIS, and manual timesheets do not record unplanned absence, actual overtime or active time reliably. Automatic time and attendance data fixes the inputs; our guides to absenteeism and overtime cover the definitions.
Cost and Productivity Metrics
| # | Metric | Formula | Worked example | Orientation |
|---|---|---|---|---|
| 15 | Revenue per employee | Annual revenue ÷ average headcount | $30M ÷ 150 = $200,000 | Varies enormously by industry; compare with direct competitors and your own trend |
| 16 | Labour cost percentage | Total labour cost (wages, taxes, benefits) ÷ revenue × 100 | $12M ÷ $30M = 40% | 20 to 35% in many service businesses, higher in labour-intensive sectors |
| 17 | HR-to-employee ratio | HR headcount ÷ total headcount × 100, or expressed as HR staff per 100 employees | 3 HR staff, 150 employees: 2.0 per 100 | 1 to 2.5 per 100 is common; smaller companies run higher |
| 18 | Training spend per employee | Total learning and development spend ÷ headcount | $180,000 ÷ 150 = $1,200 | Pair with hours of training per employee and a quality measure |
Fully loaded labour cost, which these ratios depend on, is often understated; our guide to the fully loaded cost of an employee sets out the components.
Engagement Metrics
| # | Metric | Formula | Worked example | Orientation |
|---|---|---|---|---|
| 19 | Employee net promoter score (eNPS) | % of respondents scoring 9 or 10 on “How likely are you to recommend this company as a place to work?” minus % scoring 0 to 6 | 45% promoters, 20% detractors: eNPS +25 | Above 0 is acceptable, above +20 good, above +40 strong; track by team and over time |
| 20 | Engagement score | Average favourable response (agree or strongly agree) across the engagement survey's core items × 100 | Average favourability across 12 items: 71% | Compare with your own prior surveys first; vendor benchmarks differ in method |
Survey metrics are lagging indicators. Our guide to employee engagement survey questions covers how to design the instrument, and engagement signals in monitoring data covers the leading indicators that move between surveys.
How to Choose and Use HR Metrics
- Start from decisions, not data. List the five decisions leadership makes about people each quarter (hiring plan, pay review, retention actions, staffing levels, training budget) and choose the metrics that inform each. A metric with no decision attached is a vanity metric.
- Write the formula down once. Most arguments about HR numbers are arguments about definitions: whether interns count in headcount, whether a transfer is a separation, whether paid leave is a working day. Publish a metric dictionary and change it only deliberately.
- Segment everything. A company-wide turnover rate hides a team at 35%. Report by department, manager, tenure band and location.
- Compare against your own baseline first. External benchmarks differ in definition and industry mix; a six-quarter trend of your own figure is more useful than any published average.
- Pair every efficiency metric with a quality metric. Time to fill with quality of hire; overtime rate with productivity; cost per hire with new-hire turnover. Otherwise the metric is gamed.
- Automate the inputs. Headcount and hiring data come from the HRIS and ATS; hours, absence, overtime and active time should come from automatic time tracking rather than self-reported timesheets.
- Publish a one-page dashboard with the twenty metrics or fewer, the trend, and one line on what changed and why. Our guide to productivity reports and dashboards covers the layout.
Where the Data Comes From
Metrics 1 to 10 and 15 to 20 can be built from the HRIS, the applicant tracking system, finance and the survey tool. Metrics 11 to 14 need accurate time and attendance data per person per day, and this is where most dashboards either go blank or rely on estimates. E-Monitor's attendance tracking and time tracking record hours, unplanned absence, overtime and active versus idle time automatically for computer-based staff, and its reporting dashboards present them by team and period, ready to drop into the HR scorecard. For the broader analytics programme those feed, see our workforce analytics guide.
Related reading: What Is Call Center Shrinkage?, How Does PTO Work?, Meeting-Free Days.
Frequently Asked Questions
1. What are HR metrics?
Standardised measurements of the workforce and HR processes, such as turnover rate, time to fill, cost per hire, absenteeism rate, overtime rate, revenue per employee and employee net promoter score. They provide the inputs for people analytics and the evidence for workforce decisions.
2. What are the most important HR metrics?
Voluntary turnover rate, new-hire turnover, time to fill, cost per hire, offer acceptance rate, absenteeism rate, overtime rate, revenue per employee, labour cost percentage and eNPS cover most decisions. The right set depends on which decisions leadership is making.
3. How do you calculate turnover rate?
Divide the number of separations in the period by the average headcount for the period and multiply by 100. Average headcount is (start plus end headcount) divided by 2, or the mean of monthly headcounts for an annual figure. Report voluntary and involuntary turnover separately.
4. How do you calculate absenteeism rate?
Divide unplanned absence days by the product of headcount and working days in the period, then multiply by 100. For 96 absence days across 150 employees over 21 working days, the rate is 3.0 percent. Exclude approved leave.
5. What is the difference between time to fill and time to hire?
Time to fill runs from requisition approval to offer acceptance and measures the business's recruiting speed. Time to hire runs from the candidate's application to acceptance and measures the candidate's experience. Both are averaged across hires in the period.
6. What is a good eNPS?
Above zero is acceptable, above plus 20 is good and above plus 40 is strong, though the trend within your own organisation and by team matters more than the absolute figure. eNPS is the percentage of promoters (9 or 10) minus the percentage of detractors (0 to 6).
7. What is the difference between HR metrics and people analytics?
HR metrics are the measurements; people analytics is the analysis of them to find patterns, causes and predictions. Metrics tell you turnover is 12 percent; analytics tells you it is 30 percent under two managers and why.
8. How often should HR metrics be reported?
Monthly for operational metrics such as absenteeism, overtime and open requisitions; quarterly for turnover, cost per hire and engagement; annually for benchmarks and strategy. Report trends, not single points.
Attendance and time metrics from observed data. E-Monitor supplies the hours, absence, overtime and active-time inputs that HR dashboards usually lack, automatically and per team, so the people metrics that depend on time rest on the same record as payroll. 7-day free trial, no credit card. Sign up →