For years, headlines have made clear how much workers and their leaders dislike performance management, largely because they think it is ineffective. In fact, Gallup recently published survey results showing that only 2% of chief human resource officers (CHROs) think their performance management system works.1 Possibly even worse, people largely don’t trust it. In Deloitte’s 2025 Global Human Capital Trends survey (see “Methodology”), 61% of managers and 72% of workers could not say that they trust their organization’s performance management process.
That lack of trust is a major concern. Fewer than one in three workers surveyed by Betterworks think performance reviews are “very fair and equitable.”2 Despite these pervasive concerns, just 6% of organizations surveyed said they’re doing great things using data and evidence to capture the value of workers’ performance while enhancing worker trust (figure 1).
Given that these negative views have persisted over decades of reinvention, the question arises: Do we even need performance management? The real issue is that we are expecting too much from the performance management process. We look at it as the primary driver of human performance. But the reality is that many things must happen to drive human and business outcomes—what we call human performance—in today’s complex world of work, more than a single human resources process can achieve. Relying on a single process to drive human performance is just unrealistic.
We will always need the ability to assess people’s performance to make people decisions such as rewards allocations. And we may not always love it. But if continually reinventing the process won’t solve our core need to unlock how people create business and human outcomes, we may need to move beyond process to a broader, more long-term effort to engineer human performance in the flow of everyday work.
As we shared in last year’s Trends report, human performance will be the differentiating factor going forward, requiring a holistic approach that drives human outcomes and business outcomes together. To effectively drive human performance, we need to adopt additional practices and tools beyond performance management processes. We call this expanded approach engineering human performance (figure 2).
The human performance equation requires both business and human outcomes supporting each other. However, outdated organizational mindsets often prioritize business over human. Organizations are also torn between the short-term cost of a focus on managing compensation and low performance, and the long-term value of fostering future performance growth.
Organizational choices around these tensions (figure 3) affect how performance is measured (outputs versus outcomes), leader and worker autonomy in setting and completing goals (control versus empowerment), and how customized tools and approaches are (standardization versus personalization). Left unresolved, these tensions can undermine trust and cause problems in the strategy, design, and execution of efforts to engineer human performance.
Performance management by its very nature assesses performance. It’s inescapable: Organizations need some way to make defensible people decisions like allocating rewards and promoting people. Even if organizations try radical redesigns—like having peers assess one another’s performance or doing away with ratings altogether—the reality is that performance will still be assessed, with people compared to one another. This will inevitably breed strong emotions; when your bonus and promotion is dependent on your performance assessment, deeply personal feelings come into play. And no matter what variation you use, a few people may try to game the system. Although performance management also seeks to provide developmental feedback to help people learn and grow, this often lives in the shadow of assessment.
Consider a few statistics about the design and execution of performance management that are likely not surprising:
The common response to these challenges is to reinvent performance management entirely. But despite a flurry of reinventions over the past decade—including everything from eliminating ratings to skills-based rewards and performance management to peer-based evaluations—some people are still unhappy with the process.
We need to live with some kind of process. But we need to design it in a way that is cost and time effective, builds trust, and if possible, promotes personal growth and development. Organizations can make shifts today to address the tensions and challenges preventing better outcomes:
WalkMe, recently acquired by SAP, offers quarterly bonuses to nearly 1,000 employees across a wide range of roles. Bonuses start at 8% of salary, depending on role and seniority. High achievers can earn up to 120% of the target bonus, while low performers receive at least 50%.
The bonus structure is designed to be clear and attainable, with goals aligned to priorities set by the executive team. Individual goals are developed in partnership with one’s manager and are tracked using HCM. The quarterly payout is based on a combination of firm financials, team achievement, and the completion of individual goals. WalkMe also sets development goals, which are less directly tied to the bonus but are discretionary for the leader.
Worker and candidate feedback is positive: People like knowing exactly what they need to achieve and the ability to influence their take-home pay. The impact on the business has been favorable as well. Before implementing this approach, there was less compliance with performance management, and bonuses were awarded without a clear tie to accomplishment. Now, there is clarity on expectations and a credible, data-driven process that can lead to results.
Use of technology can also be used to simplify performance management. GenAI, for example, can be used to identify feedback providers, aggregate and synthesize data sources (goals, self-reflections, feedback, etc.) for evaluation, and identify potential bias.
Continually reinventing performance management won’t solve our core need: to truly unlock how people create business and human outcomes. To do this, we need to consider moving beyond the mere process of performance management to a broader and longer-term effort to engineer human performance in the flow of everyday work.
To engineer performance in the flow of everyday work, we need to build a human performance strategy—not just a performance management strategy. Setting a human performance North Star requires focus from the C-suite, with a clear desired state and a well-defined path forward. In the example above, the new Rolls-Royce CEO saw the potential for much greater results, sent out a clear call to action, and has continued from there.11
Once the human performance strategy is set, organizations can consider the following actions:
A fit-for-purpose organizational design can also help unlock human performance; Deloitte research shows that organizations with a mature organization design capability that continually senses the external environment and responds to changes through redesign are over five times more likely to manage change effectively than other organizations.14 Other Deloitte research shows that designing work and organizations for well-being can have a far greater impact on worker well-being than bolt-on well-being programs like gym memberships or new benefits.15
At the same time, driving human performance means encouraging the formation of positive, fruitful connections among workers. Teams should be designed to support one another, versus assuming one strong employee can somehow lift the group. In one study, a professor at the Rotterdam School of Management divided students into groups to complete a management task, with a prize for the best team. However, each team included someone playing a negative role. One negative member reduced team effectiveness by 30% to 40%, regardless of other members’ talent and intelligence. Negative attitudes quickly spread, causing others to mimic the poor behavior.18
Establishing clear norms can enable smooth working relations. Team cultures should encourage taking risks and potentially failing, augmented by a practice of providing real-time feedback on both points of improvement and successes. Deloitte’s High-Impact Total Rewards research found that organizations with a strong culture of recognition report significantly stronger talent and business outcomes.19
Some organizations, however, are redesigning their workforce practices to elevate human and business outcomes. For example, Roche used technology to enhance its learning and development approach to rapidly equip its engineers and specialists with the latest and greatest skills required to build biotechnology for its customers. The new approach simplified the learning experience by allowing learners to simultaneously engage in both mandated and skill-based training, with clear pathways and checkpoints throughout the journey to support individual learning, while also ensuring competence. As a result, Roche established a straight line from learning to human performance with speed to competency reduced from 1.5 years to 90 days, which both reduced turnover and improved customer satisfaction.21
Another example is AXA, the global insurance provider. Recognizing that workers’ well-being is a significant driver of human performance, the organization launched a comprehensive “We Care” program for all employees worldwide. It extends far beyond traditional benefits offered by most organizations, such as the ability for workers to take paid leave to care for family members, a robust set of benefits to support those facing domestic violence, and a Healthy You program with support for both mental and physical well-being, including fertility treatment, menopause, in-person medical checkups, and more. Taeko Kawano, executive officer and chief human resources officer of AXA Holdings Japan, highlighted that “the program is designed not just for employees but also for their families, underscoring that holistic wellbeing—at work and in life—is crucial for employees to bring their whole selves to work and perform at their peak.” Since its launch, the organization has seen improvements in both business and human outcomes, including worker well-being and satisfaction.22
A major US-based electronics company has seen this firsthand. At its repair facility, implementing robots to assist workers significantly improved the ability to observe individual employee productivity. Managers were able to collect data that allowed them to more easily distinguish between human and machine errors. Noting that the robots consistently made the same type of error, human errors became easier to identify and correct.23
In addition to using technology as a collaborator in the work, tech tools can use all the data they collect about work to provide real-time performance insights. New technologies like Gong.io and Salesforce Einstein Sales Coach Agent, for example, provide real-time feedback to sales professionals helping them adjust and learn real time in the flow of work. Likewise, smart factory technology can guide a worker to use safer or more efficient techniques, while a software pop-up could tell a worker that the data they are entering is outside of expected ranges and should be double-checked. The key is that workers receive feedback while they are working, enabling them to put the guidance into action immediately.
Technology can also help drive human outcomes in the flow of work—one of which is well-being. Examples abound showing how data-enabled tech can highlight safety concerns or identify toxic interactions so they can be addressed. Indeed, the job matching and hiring platform, used communication software to embed its inclusive language guide into the flow of work, providing inclusive language suggestions in real time and empowering workers to have better conversations with clients and each other.24
A software company faced attrition and stress-related absences that affected business growth. It engaged IHP Analytics to examine 12 months of individual mental and physical health data from wearables, merged with calendar and collaboration platform data. The analysis showed high stress and low well-being during the financial year-end and performance review season, particularly among the worker cohorts with highest absence and attrition.
IHP introduced “performance engineering,” shifting from traditional, periodic performance management to a more continuous approach. This method leveraged real-time data integration using dashboards of personal behavioral signals alongside organizational metrics enhanced by management activities to build trust. Individuals had input into personal performance target zones, linked to team and organizational targets. Personal metrics like well-being and job behaviors became part of ongoing, proactive reviews.
These changes fostered a value-focused culture with a total performance perspective, balancing the tensions of business versus human outcomes and control versus autonomy. The transformation led to a more flexible, resilient business that achieved 7% revenue growth in the first year, with a 36% drop in attrition and a 19% reduction in sickness absence.25
Can workspace design help or hinder human performance? Data collected at a pharmaceuticals company indicated that a 10% increase in interactions between sales personnel and co-workers from other teams correlated with a 10% increase in sales performance. To facilitate these interactions, management transitioned from having one coffee machine for every six employees to one for every 120 and introduced a new large cafeteria accessible to everyone. As a result, sales increased by 20%, or US$200 million, within just one quarter, swiftly validating the capital investment in the redesign.27
Physical space design has an impact on non-office work environments as well. Optimizing the design of a manufacturing facility can boost productivity and efficiency while enhancing workforce well-being, safety, and comfort. By considering the sequence of operations and positioning workstations to minimize unnecessary movement, production speeds up and worker fatigue is reduced. One executive mentioned that before renovating a 50-year-old facility, the company surveyed employees to identify key workplace improvements. Improved lighting, including natural light, and better air quality topped the list, and the smart factory design was based on this feedback.28
Despite years of reinvention and retooling, performance management processes still fall short when they’re relied on as the sole means to unlock human performance. That’s because one, singular process isn’t big enough to encompass the many factors that drive both human and business outcomes. Rather, organizations need to expand beyond the performance management process if they want to meet the very goals that they hoped performance management would deliver. Engineering human performance includes a robust performance management process, but it goes beyond process to incorporate organizational culture and design, manager and people connections, tech and data, workforce practices, and workplace design.
The potential benefits are evident: Our research indicates that organizations that are very or extremely effective at enabling human performance are 2.08 times more likely to report positive financial results than the rest. When we get engineering human performance right, humans and organizations thrive.
Deloitte’s 2025 Global Human Capital Trends survey polled nearly 10,000 business and human resources leaders across many industries and sectors in 93 countries. In addition to the broad, global survey that provides the foundational data for the Global Human Capital Trends report, Deloitte supplemented its research this year with worker-, manager-, and executive-specific surveys to uncover where there may be gaps between leader and manager perception and worker realities. The survey data is complemented by more than 25 interviews with executives from some of today’s leading organizations. These insights helped shape the trends in this report.