25+ Top HR Metrics to Measure and Optimize Workforce Strategies

Understanding business performance requires a comprehensive approach that goes beyond financial and sales data. People data (or HR data) is crucial for gaining insights into organizational health. It's also critical for understanding how your workforce needs to evolve to keep pace with the business, especially with the pace business is moving at today.

People data unites various HR metrics such as employee satisfaction, retention rates, training and development, diversity and inclusion, productivity, and performance evaluations.

In this post, we outline the most essential HR metrics to track across every category.

What are HR metrics?

Metrics are simply a way of assessing a particular area within a business. Inside human resources, we measure categories of people metrics to understand how the organization’s biggest investment (its people) is faring and how that performance flows back into the business.

There's a core set of HR metrics every company should track because they help them understand the impact people have on the business, and that the business has on its people. But they’re only the starting point.

Beyond that, there are several others you can use to improve the employee experience, make HR more effective, and drive better business outcomes.

Why HR metrics matter

For most organizations, your people are your biggest operating cost. But they’re also your biggest lever for growth because they build things, develop others, and create value that outlasts their individual output.

HR metrics are how you keep a pulse on them. These metrics let HR teams and people managers track what's happening across employee performance, retention, total comp, engagement, and hiring, then course-correct before small problems become expensive ones.

The business case is pretty simple: Companies making decisions based on workforce data consistently outperform those that don't. When we surveyed 500 business leaders in partnership with Deloitte, seven in 10 agreed better access to people data would help them make decisions more effectively. This means moving away from planning cycles, towards an ongoing, continuous discipline because this is how workforce decisions actually get made.

Individual HR metrics tell you what happened, but they also help paint a bigger picture about what's working, and what areas need adjustment.

Take Kong as an example. After connecting hiring source data to retention outcomes in Visier People, they discovered direct applicants had an 85% retention rate, which was well above average. One data point led to a hiring strategy shift.

That's what combining the right metrics does: it turns scattered numbers into tangible business outcomes and a concrete action plan.

20 HR metrics: Turnover, time to hire, cost per hire, engagement, retention, and more

Predicting future business needs is another area where HR analytics is remarkably helpful. How many new employees will you need? What new skills will people need and want to learn? 

Especially as the workforce continues to shift thanks to AI, having reliable answers to these questions isn't just helpful, it's how organizations stay ahead of change rather than react to it. HR metrics give you that foundation.

Turnover

If you thought replacing employees was easy, think again. SHRM estimates the cost to be anywhere from 50% to 200% of their annual salary, depending on their level. This should be a good motivation to want to reduce turnover rates.

Turnover metrics you need to know include:

• Turnover rate: The percentage of people leaving your organization.

• Voluntary vs. involuntary turnover: The split between employees who chose to leave and those whose contracts were ended. 

• Predicted resignation: An approximate number of people who will leave the company in the near future.

• Resignation trends: Are more or fewer people quitting now than in the past quarter? Can you spot any patterns?

• Estimated replacement costs: How much will it cost to replace those who leave the company?

• Resignation drivers: Why do people leave the organization?

You may have a high turnover rate, which tells you there's a problem. But layering in resignation drivers tells you about what’s happening in your culture, management, compensation, or career pathing that’s causing it.

Then, once you start looking at predicted resignations and replacement costs, you’ll be able to prioritize where to act first. And you can track resignation trends over time to evaluate the changes you’ve made.

This elevates basic HR metrics into greater workforce intelligence, and in this case, tells you how to develop a tailored employee turnover solution. 

Time to hire

The hiring process can become more drawn out than anyone anticipates, and not only do the delays put a damper on growth, but they also cost real money. Each day a seat remains empty, the organization suffers a loss of productivity, potential, and team momentum.

A few of the metrics that you will need to track here are: 

• Average time to hire: The average number of days it takes to move from a candidate applying or being sourced to the candidate accepting the offer.

• Stage duration: What’s the longest part of your recruitment process?

• Productivity impact: How much work are you pushing off to other workers by not filling a position?

As of 2025, the average time to hire across all industries ranges from 30.7 to 44.7 days. That's over a month of lost productivity per open role, which translates to work that either doesn't get done or gets pushed onto teammates who are already stretched thin.

If you could instead connect time to hire data with your Applicant Tracking System (ATS), recruitment platforms, and HR systems, you'd start seeing exactly where candidates are dropping off, which stages are dragging, and where your process is costing you top talent.

Cost to hire

Cost per hire is one of the most essential talent acquisition metrics because it's so easy to underestimate. From advertising and recruiter costs to interview hours, background checks, and onboarding training, things snowball quickly.

That's why you should familiarize yourself with the following metrics: 

• Cost to hire: The total of direct and indirect costs to cover to fill one position.

• Breakdown by role/department: Are certain roles much more expensive to recruit for?

• Quality of hire (by source): Which channels attract the best hires at the lowest cost?

Say your average cost per hire is $8,000. Seems manageable.

But when you break it down by department, you find engineering roles are running upwards of $23,000 per hire, and your source efficacy data shows 60% of those hires are coming from expensive external agencies with a 40% first-year turnover rate.

Once you know that, you know you have to reallocate the budget toward direct sourcing channels to reduce agency dependency. That’s your first step to lowering your cost per hire and improving the quality of each hire you make.

Employee engagement

How well employees relate to their employers, their colleagues, and their work all part of the employee engagement metrics. In other words, this HR metric is about how connected and involved employees are in an organization.

Employee engagement metrics to track include:

• Voluntary turnover: The proportion of employees who choose to leave employment by resignation, rather than by involuntary termination or layoff.

• Absenteeism: How often employees are not at work on days they’re scheduled to be there.

• Employee performance: An assessment of the success with which an employee reaches their work goals and contributes to broader organizational success.

• Net promoter score (NPS) in feedback surveys: A standardized measure from employee survey responses of whether people would recommend your organization as a great place to work.

This all matters because engaged employees are more productive employees. They tend to have lower rates of burnout and voluntary turnover.

With Visier, you can track engagement data across your business units and teams and compare it across the entire organization.

Retention

We've talked extensively about turnover and what it costs to lose people. Employee retention is the other part of that equation.

It’s important because the longer someone stays, the more value they generate (and the more expensive they are to lose). A tenured employee carries institutional knowledge, mentors others, and contributes to a culture that attracts more people like them.

To understand your company’s retention, look at the following:

• Retention rate: How many of your employees remain for a set period of time?

• Segment retention: Are people from one team/department/role more likely to stay than another?

• Driver analysis: What makes people stick around?

• Early turnover: How many people who are hired end up leaving in their first 6-12 months?

High retention is a sign of health, and since you’re constantly trying to improve it, it’s something you want to track over time.

Let’s look at an example: When Baptist Health faced a turnover crisis during COVID surges, they launched a PTO-based retention program and used Visier to monitor their retention curve in real time. 

That live visibility gave them the confidence to greenlight phase two before phase one had closed. By the end, 94.68% of the target employee cohort had stayed, and the program delivered a 158% ROI.

Without that data, they would never have known the program was working (and would have spent millions on an intervention they couldn't validate).

11 Strategic HR metrics: Productivity, diversity, internal mobility

Productivity

Low productivity either means workers are disengaged, your processes are weak, there’s a shortage of resources somewhere, or all of the above. Those things all mean you lose out on competitive advantage and profits.

Here are the metrics you should be following:

• Employer output per employee: Measurable outputs like the number of units per product produced, sales closed, or work tasks performed as relates to hours worked.

• Quality of work: Over and above sheer quantity, this is one of the HR metrics that looks at how well jobs are performed.

• Goal achievement: The degree to which employees meet or exceed individual and team performance objectives (e.g., quota attainment in sales).

The best way to look at productivity is alongside your engagement and retention data. Visier’s workforce transformation dashboard brings performance, engagement, turnover, and productivity data into a single interactive view.

Let’s say you realize output is dropping in the same teams where engagement is low and turnover is high. Then, you're not looking at an isolated performance issue. It’s more likely an issue with management.

Diversity

According to a Glassdoor D&I survey, 76% of employees and job seekers say a diverse workforce factors significantly into how they evaluate companies and job offers. And according to Visier’s own data, companies with the most gender-diverse leadership teams are 21% more likely to outperform on profitability.

So what does diversity mean in a business context? It refers to the range of differences within the company, particularly related to race, gender, ethnicity, and age. 

Common DEIB metrics to track include:

• Ethnicity: Shows what proportion of employees belong to each ethnic group.

• Gender: The count of staff by gender identity.

• Location: The city or cities where workers are based.

• Industry: The overall industry or segment that the organization operates in.

Let’s say you wanted to improve the representation of one or more underrepresented groups in your workforce. You could use the DEI analytics module inside the Visier platform to understand where you need to focus those efforts: at the exec level or somewhere lower.

From there, you can take targeted hiring in your hiring and promotion activities to actively work towards that goal.

Internal mobility

Internal mobility is the practice of moving employees to new positions within the organization rather than hiring from the outside.

It’s important for the company because it improves retention and cuts recruitment costs while filling critical skills gaps. It’s important for your people because career advancement is a big reason they’re with you in the first place.

Some key internal mobility metrics to be aware of are:

• Internal mobility rate: The ratio of open roles that were filled by current employees, as opposed to external hires.

• Rate of promotion: The frequency with which employees are promoted to a higher-level position within a specific period.

• Lateral movement rate: How often employees move from one department or function to another to add breadth to their skill sets and experiential learning.

• Time to fill for internal roles: A measure of how long it takes for internal candidates to be sourced, assessed, and placed into new roles.

This is one of those metrics that’s actually relatively simple to track and optimize for. For example, Beam Suntory built a custom "Build Ratio" metric in Visier tracking promotions, lateral moves, and external hires together.

When one quarter showed external hires spiking above internal, they dug into the data and found it was driven by a need for specialized skillsets, which the team didn’t have.

Benchmarking: Industry standards and goals

If you look at HR metrics with no context, you’ll miss important pieces of the puzzle. We’ve already touched a lot on how you can look at multiple metrics together to get the full context of a particular situation, but how do you know if those metrics are “good” or not?

Benchmarking, that’s how.

There are two ways to benchmark: externally (by industry standards) and internally (against your own data).

Benchmarking against industry standards

Industry benchmarks tell you where you stand relative to everyone else competing for the same talent. If your time-to-hire is 45 days and the industry average is 30, you're probably losing candidates to faster-moving competitors.

Benchmarks are also useful for making the business case internally. It's a lot easier to get a budget approved for a new recruiting tool when you can show leadership that your cost-per-hire is 40% above industry average.

Benchmarking against yourself

Your competitors' turnover rate doesn't tell you whether your retention program from last quarter worked or not. But your own data from six months ago? That does. 

Remember, workforce transformation isn't a one-time project—it's a continuous discipline. Your historical data is what keeps you honest about whether the changes you're making are actually moving the needle.

And for a lot of orgs, industry benchmarks don’t apply perfectly. An early-stage startup and a 50,000-person enterprise might technically operate in the same industry, but their hiring velocity, org structure, people strategy, and corporate culture have almost nothing in common.

This is why your own historical data is the best litmus test for whether or not you’re actively improving with the changes you’re making based on your HR metrics.

Tying external and internal benchmarks together

Since both types of benchmarks ultimately matter, we built the Visier Benchmarks API from over 250 million anonymized data points across our global customer base. It lets you layer external context directly onto your own internal metrics, so you can see where you stand against peers in your industry, then track your own progress over time in the same platform.

Reporting tools: Dashboards and analytics platforms

Dashboards and analytics platforms make HR metrics easy for everyone to understand. 

Your HR function depends on them and intuitive dashboards to sort through and interpret many types of complex workforce data. They help you pull in, analyze, and visualize metrics on everything from turnover and productivity to diversity and internal flow.

With a platform like Visier Workforce AI, you’ll get:

• Data centralization and visualization: Dashboards pull all your data from HRIS, ATS, payroll, performance, and engagement tools to give you a cohesive perspective on workforce metrics and insights.

• Real-time data intelligence: Platforms such as Visier serve up real-time intelligence on critically important topics like attrition risk, employee sentiment, DEI goals, flight risk, and others.

• Predictive and prescriptive analytics: Next-generation platforms rely on AI and machine learning to predict future trends, like turnover, dips in productivity, or increases in absenteeism, plus offer prescriptive recommendations based on that data.

• Scenario planning: Plan your workforce by modeling scenarios, simulating outcomes, and being more proactive with talent needs as business changes.

• Custom reporting: Create personalized reports for executives or specific groups of managers so you can drill down into data before making a decision.

Visier takes you from insight to action

Everything we've laid out in this article is only worth something if it changes a decision. The companies getting the most out of HR metrics are the ones treating them as a continuous loop: 

• Measure

• Act

• Track

• Adjust 

That's workforce transformation in practice. And right now, HR leaders are being asked to run that loop under real pressure thanks to shifting skills, rising costs, and AI changing the nature of the work altogether.

The answer isn't more reports. It's workforce intelligence embedded in the flow of work, built on data you can actually trust, so every decision is grounded in the same reliable understanding of your workforce. That's what moves HR from tracking the past to navigating what comes next. That's exactly what we built Visier to do.

FAQs

What are the most critical HR metrics?

Critical HR metrics that are important to measure are turnover rate, time to hire, cost to hire, retention, productivity, and engagement. These qualities are key to understanding workforce stability, efficiency, and the employee experience as a whole.

How do HR metrics support business strategy?

HR metrics allow you to connect the dots between talent management and business targets by clearly highlighting talent gaps, honing the hiring process, evaluating employee performance, and optimizing retention programs. They transform workforce data into meaningful and easy-to-understand insights, enabling decision-making based on hard evidence.

What metrics predict workforce trends?

Predictive measures, such as intentions to leave, absence, engagement levels, and movement within the firm, will assist in forecasting change and volatility in the workforce. These warnings are useful in forecasting talent requirements and avoiding risks.

How should HR metrics be reported?

HR metrics should be visualized using intuitive, interactive dashboards and custom reports that focus on important trends and findings. The reports must display time on time, be relevant to an audience, and be tied to strategic objectives to incite action.