Table of Contents
At critical times throughout the year or at the end of a cycle, it is common practice to evaluate results, accomplishments, goals achieved and missed, key lessons to apply in the future, and personal lessons learned. HR often assesses established and repeatable processes through comments and feedback and evaluates standard metrics such as cost-per-hire, merit pay budget distribution, hours of learning delivered, total hires, and employee inquiries handled. While those provide insights into how well or efficiently HR processes ran, they tell us less about the state of the business. We take the position at Wowledge that assessing the business impact of HR is crucial to being business-aligned.
While HR and people analytics continue to lag behind those generated by finance, marketing, and administration, HR is incredibly well-positioned to be data-driven. Consider the prevalence and adoption levels of automated systems such as HRIS or HRMS, ATS, LMS, and TMS, which collect large volumes of data on employee activities, behaviors, actions, and reactions. They can track and analyze benefit selections, training programs, leave requests, performance ratings, career progression, life status changes, and employee and applicant job postings. The sheer number of transactions and resulting insights that can be drawn from these systems and processes is vast.
That said, the most desired role is that of a business-driving function with a proverbial “seat at the table,” which requires assessing the business impact of HR on the organization's operational mission, objectives, and outcomes. Generating such insights can enable an HR team to serve as a credible business partner, optimize its investments and intervention designs, and provide more objective decision support to leaders and managers across the organization. As a result, assessing the business impact of HR requires combining HR metrics with business outcome data to determine the effect of HR interventions on the business.
The proof is clear and yet challenges exist in assessing the business impact of HR
Despite the common thread that HR analytic capabilities need to catch up with what business leaders want and need, there is a substantial body of evidence supporting HR's ability to drive (directly or indirectly) business results. For example, Gallup has reported that HR’s focus on tracking and improving employee engagement significantly influences organizational success, improving enterprise sales, profitability, financial, customer, retention, safety, quality, and shrinkage measures. Similarly, a focus on employee experience (EX) has been associated with significant improvements in innovation, customer satisfaction, revenue and profitability, quality, shrinkage, and operating expenses.
Further evidence comes from studies demonstrating the power of a robust learning and development culture on earnings, profitability, innovation, and total return to shareholders (TRS). Aligning employee goals with the larger organization's objectives leads to significantly higher performance. The most robust HR and culture-driving practices deliver substantially higher shareholder returns.
However, “seeing is believing” and “perceptions rule.” Sadly, the perceptions of leadership appear to be stuck in their own experiences and lack of awareness. For example, a recent study found that only 27% of executives believe HR can impact revenue growth (compared with 53% of HR executives). Similarly, business leaders are highly skeptical about HR’s impact on cost savings (27%), customer satisfaction (30%), and product or service quality (28%). Only 61% of C-Suite leaders believe that HR can impact employee productivity. Without leadership’s confidence in the basis for and value of HR’s consulting and advice, the uphill battle for credibility and business decision-support status will continue.
What needs to change?
The issue boils down to the core complaints about HR—that it is not contributing to business success and, to many, represents an administrative drain on business management. It is about HR’s credibility, with arguments that talent solutions are unnecessary, not aligned with business requirements and objectives, and too “squishy” and “soft,” among other common refrains. The fact is that, aside from management's lack of understanding, assessing the business impact of HR is hamstrung by three key deficiencies:
HR teams are under-skilled and under-resourced in analytic capabilities
LinkedIn research demonstrated that only 22% of companies have adopted a formal HR Analytics approach, and even fewer (11%) have dedicated people, talent, or HR analytics teams.
Leaders complain about lacking needed insights
Even when HR dashboards and reports are produced and available, their utility must support leaders' decision-making. As typical HR reporting focuses primarily on process efficiencies and costs, the need for more insights into how HR and managerial practices, programs, and policies impact key business drivers diminishes their value in decision support. Deloitte research found that only 3% of surveyed executives felt they had sufficient information to make solid decisions about their employees.
Traditional HR metrics are inward-focused
Historically, popular HR reporting has focused on process efficiency and summaries of HR transactions rather than on business outcomes. Consider the lists of “best HR metrics” from a Google search, and pages upon pages of talent process measures will be presented – cost-per-hire, training completions, performance appraisal submissions, average compa-ratio, and benefits enrollment. These measures track compliance, volumes, and usage volumes, all focused on efficiency rather than effectiveness. While other standard HR measures, such as employee engagement, turnover, time to fill, and headcount, measure process effectiveness, they are still primarily focused on how well the policies and programs operate.
The core credibility issue can be addressed by better supplying objective, data-based insights into the workforce challenges that leaders and managers see (and cannot see). The opportunity to use data to better understand and explain trends, issues, or occurrences within workforce segments, and to work in partnership with leaders to evaluate and make decisions based on it, represents a game-changer for HR teams.

Critical considerations when assessing the business impact of HR
Define the purpose and value of what is to be analyzed
Have an apparent business reason and intention for compiling data and conducting analyses that answer the critical questions. Always consider the organization’s mission, market positioning, primary business strategy, values, and primary areas of leadership focus. These become good starting points for identifying the business value of a high-utility measure or analysis. Examples include:
- Driving continuous improvement, low costs, and effective resource allocation.
- Enhancing employee experience and engagement in ways that improve business and stakeholder (customer, financial, shareholder) value.
- Managing an early warning and risk management system for threats to corporate objectives and business continuity.
- Identifying portals and barriers to enhanced innovation, customer satisfaction, growth opportunities, and competitive advantage.
1. Ask better questions
Resolving the dilemma about better assessing the business impact of HR starts with what experts on business analytics propose as the critical first step—asking questions that address stakeholders' most pressing issues and concerns. Think about turnover from the perspective of a line manager, director, or vice president. Is high turnover a problem in a historically high-churn industry, at the job level, or in a specific role? Or is the loss of high-performing, longer-tenured, or high-potential workers in those roles leading to a 3% drop in sales?
From a business leader’s perspective, instead of just looking at the cost of running an HR process, the number of people who participated in it, and how long it took to complete it (all useful for the HR process owner’s efficiency review), consider broader questions that address leadership’s concerns. As Dave Ulrich suggests, the questions to answer are not only “what” one wants to understand, but also add a “so that” to the question, which generates an understanding of the operational rationale or business purpose of the analysis or metric.
Examples might include:
- Are we optimizing our use of human resources? Is the organization right-sized and affordable, given revenue projections and profitability goals?
- Are our processes and programs efficient and effective, and are they adding value relative to business objectives?
- Are our managers properly leveraging the resources we have assigned to them to enhance their product or service output?
- To what extent are our investments in manager and employee time, effort, and expenses driving or contributing to sales, profit, customer satisfaction, or market share?
2. Clarify whose impact is being measured
As previously mentioned, measuring HR process or practice efficiency undoubtedly has value—it supports good budget stewardship and identifies opportunities to streamline and improve employee experience and managerial effectiveness. It can also be crucial in cases where cost management is a key priority relative to the organization’s mission (e.g., as a low-cost provider), during economic distress, or when there are budget overruns. However, those measures are generally less meaningful to managers and are best left off their dashboards and reports.
The focus, however, should be on how HR and people programs and interventions relate to and impact the business, operating environment, and their primary operators (line managers and leaders). That means assessing managerial effectiveness and HR’s impact on organizational capabilities and drivers of organizational performance, productivity, culture, and health. All HR processes (and the managerial results of their use) should be evaluated and tracked to assess their impact and degree of influence on these outcomes. Measuring managers is a business-aligned and focused approach.
3. Combine business data with HR or talent data
Generating meaningful insights that drive objective, improved decision-making requires access to and use of business data (sales, lead conversions, revenue, expenses, profitability, production, customer churn, service calls, shrinkage, product defects, and returns), often by department, business unit, or location. Gaining access can be met with resistance, but by following the previous considerations and engaging an executive or senior leader as a champion for the analytic value proposition, the pathway to access will most often be eased.
4. Leverage more advanced statistical techniques
Combining business and HR data is designed to produce an “if-then” assessment of the relationship between two or more variables or actions. This often calls for more advanced statistical methods, such as correlations or regressions that indicate the level of covariance (how much a and b rise and fall together) or causality (to what extent a causes or impacts b).
Alternatively, covariance can be evaluated by simply plotting the occurrence of “a” (over time) on a line graph, with “b” (over time) as a separate line; the extent to which the lines rise and fall together can indicate a relationship beyond coincidence.
If the HR team lacks these statistical skills, a partnership can be formed with employees from Finance, Marketing, Operations, Engineering, or other internal functions who have expertise in business analysis or STEM. Alternatively, external experts from local consulting companies, temporary agencies, or academic institutions can be hired on a project or temporary basis.

Top approaches for assessing the business impact of HR
The range of potential metrics is substantial and linked to any organization’s primary mission, performance drivers, business objectives, and talent priorities. However, a list of examples should provide context and a starting point for organizations seeking to generate more meaningful insights to assess the business impact of HR. The key is to follow the guidance above, identify the most critical business outcomes, and ask thoughtful questions about how HR efforts, processes, and programs impact those.
Take the position of a scientist testing theories and hypotheses that are believed to impact specific business outcomes. Take the people-related events, occurrences, or programs most likely to help or hurt the organization's efforts to meet its financial and market objectives. Create a narrative for each that explains the hypothesis or theory that the analysis will prove or disprove. Some illustrative examples of these hypotheses and approaches include:
Turnover drains productivity, production volumes, and quality. Analyze the impact of turnover rates of critical role holders, high performers, new hires, diverse employees, and high potentials on outcomes such as revenue per employee, profit per employee, units produced, deadlines achieved, patent satisfaction, or orders filled. It also serves as a view into managerial effectiveness and efficiency by asking, “Are certain managers, locations, or departments churning employees at a rate that negatively impacts their output or customer outcomes?”
Position vacancy rate assesses the impact and cost of position vacancies, time to fill (TTF), and vacancy duration on business outcomes such as productivity (units per production employee, revenue per employee, profit per employee) and customer service. Analyze critical departments, including manufacturing, distribution, sales, customer support, the supply chain, coding and app development, and project teams.
Employee engagement is a core outcome of talent analysis and is widely demonstrated to be a driver of business outcomes. Conducting statistical tests that reveal how much engagement is related to, or (even more powerfully) predictive of sales, production, profitability, revenue, and market share growth can create a business case for making significant investments in strengthening managerial capabilities and performance, enhancing the meaningfulness of work, and customer-centric strategies.
Net hiring assesses the extent to which managers or departments are over-relying on recruitment at the expense of retaining quality employees. It is designed to provide insights into the impact of staffing levels and activities on achieving objectives and can offer insights into lower levels of innovation or collaboration. It also provides insights into managerial effectiveness by asking questions such as “Are we hiding poor managerial performance by maintaining reasonable headcount-to-budget ratios?
Skills growth provides a view into the value and benefits of continuing development (formal and informal) in meeting enterprise objectives. Consider analyzing skill growth rates for critical or strategic skills on market-competitive indexes, such as the number of product or service innovations introduced, process efficiencies implemented, or employee suggestions adopted. Compare the volume of strategic skills courses and certifications completed on market share, customer satisfaction, or sales performance. This is best accomplished by using a skills library and having employees enter new or improved skill or competency ratings into the system. Performance review data can also be reviewed for newly added skills and capabilities for such an analysis.
Leadership and managerial effectiveness are critical drivers of employee engagement and operational performance. Use HR measures such as 360-degree assessments, leadership competency model ratings, and net talent producer scores (the ratio of high-performer transfers and promotions out to high-performer hires or transfers in), and analyze their impact on productivity/production levels, product or service quality, customer satisfaction, revenue, and profitability. Analyses should also be conducted on all leadership development activities (e.g., courses, seminars, coaching, job rotations, mentoring, project management) and the extent to which they impact managerial quality and goal achievement, 360-degree and competency assessments, and other role or function-specific outcomes (e.g., sales, revenue, profitability, market share).
Quality of hire (QOH) is the most valuable assessment of a recruiting process, shedding equal light on the capabilities of the recruiting function and hiring managers. Key talent outcomes for assessing QOH include post-hiring speed to competency, retention or length of tenure, performance ratings, high potential or succession plan status, promotions, and talent review results. Evaluating the impact of hiring and retaining high-performing, high-potential, and culture-aligned team members at scale on key business outcomes can demonstrate the value of excellence in people assessment and management.
Role criticality is a unique way to leverage the job architecture (and workforce planning (WFP)) to assess the relative value of every job in an organization and to identify its impact on key business outcomes, such as revenue generation, profitability, and market share. As with the classic critical workforce segmentation (CWS) exercise conducted by Disney, which found that Street Sweepers had the most impact on theme park visitors’ satisfaction levels, such an analysis can help identify undervalued roles that require more attention and investment.
Relevant Practices & Tools
Emerging HR Metrics and Reporting Practices to Drive Situation Assessment and Actionable Insights for Managers and Leaders. >
HR Metrics & Reporting is a standardized and structured experience for both developers and users of the data and reports... more »
Deploying Advanced Statistical Methods to Better Assess and Predict Trends in HR Processes, Policies, and Programs. >
Deploying advanced methods involves moving from descriptive or basic mathematical metrics (sums, averages, percentages, medians, etc.) to more sophisticated techniques... more »
Leveraging Workforce Planning and Analysis to Assess the Current State of Key Employee Segments. >
In its most basic form, a workforce planning effort builds an estimate of future headcount supply and demand for roles in the organization, with a subsequent gap analysis... more »
Measuring the Development Process and Outcomes for Impact and Accountability. >
Given the extensive (career-long) timeframe and multiple activities involved over a period of years for leadership development, measurement of outcomes and impact is often neglected... more »
The Metrics Calculation Guide Tool: Lay Out Metrics and How they are Calculated to Build Consistency of Data's Inputs and Outputs. >
The metric calculation guide is a template that lists the details for each metric to be computed in an HR or related system, database, or spreadsheet and describes the precise method... more »
FAQs
Why do standard HR metrics often fail to influence business decisions?
Traditional HR metrics tend to describe how efficiently HR ran a process rather than whether the business benefited from it. Measures like training hours, total hires, or appraisal completion rates may matter to HR operations, but they do not explain business value on their own. Leaders often view them as administrative indicators unless they are tied to outcomes they care about. The issue is not that the metrics are useless, but that they are incomplete without business context.
Which business outcomes are most useful when starting HR impact analysis?
The best starting measures are those already used to assess business success within a given organization. Revenue per employee, profit per employee, customer satisfaction, production volume, quality defects, and vacancy-related output losses are often practical starting points. They are easier for leaders to understand because they connect directly to performance expectations already in place. Starting with a few visible measures is usually more effective than trying to analyze everything at once.
How can HR avoid getting stuck in purely process-focused reporting?
HR can shift by reviewing each major report and asking whether it helps a leader make better business decisions. If a report only shows activity, volume, or compliance, it may need to be redesigned to include performance impact or operational implications. This often means pairing HR process measures with outcomes from finance, sales, operations, or customer service. The goal is not to abandon process metrics, but to place them inside a broader business story.
How can smaller HR teams assess business impact without a dedicated analytics group?
A smaller team can still do meaningful work by starting with a narrow question, a limited data set, and a clear business outcome. Simple trend comparisons, line graphs over time, and basic before-and-after comparisons can often reveal useful patterns before more advanced (e.g., statistical) methods are needed. Internal partners with analytical strengths can also support the work without requiring a formal HR analytics function. What matters most is disciplined thinking and a clear business purpose, not the size of the team.
