Performance-First Management Is Right. But It’s Incomplete.

For the past several years, the conversation on management has focused heavily on the employee experience. Leaders were urged to lead with empathy, protect well-being, preserve flexibility, and help employees navigate disruption.

That emphasis was understandable. It was also never meant to replace driving business performance.

A recent Harvard Business Review article on performance-first management argues that organizations now need to rebalance the equation. Business conditions have changed. Leaders are under pressure to improve productivity, execute faster, and prove that work is producing measurable results. Management, the authors argue, must return its attention to performance. 

They’re right about the problem.

But shifting from people-first management to performance-first management can create another false choice: that organizations must choose between developing people and producing results.

They don’t.

Performance is the outcome. Goal clarity, useful coaching, relevant skills, continuous feedback, and employee growth are part of the system that produces it.

People development is how sustainable organizational performance happens

Performance-first management gets one essential thing right: Organizations exist to achieve outcomes, and management must help people deliver them.

But performance can’t be separated from the workforce’s ability to produce it.

Skills determine whether the organization has the necessary capability. Managers determine whether priorities turn into productive action. Feedback helps people adjust while the work is still underway. Growth prepares employees to meet the next challenge, not just document the last one.

The strongest organizations won’t choose performance over people. They’ll build a system in which developing people, directing work, and achieving business outcomes reinforce one another.

Performance is the goal. People development is part of how the organization gets there.

To build that kind of system, organizations first need a clearer definition of what performance-first management actually means.

What is performance-first management?

Performance-first management is an approach that begins with the results the organization needs to achieve and works backward to determine how work should be prioritized, managed, and measured.

It shifts the focus:

• From activity to outcomes

• From effort to business impact

• From managing processes to executing strategy

• From retrospective evaluation to current performance signals

• From generalized development to the capabilities the business actually needs

That is a necessary correction.

Too many organizations still confuse visible activity with valuable contribution. They reward responsiveness, volume, and effort without consistently asking whether the work moved an important business priority forward.

AI is making that distinction even more urgent. When technology can help an employee draft more content, analyze more information, or complete routine tasks faster, output volume becomes an even weaker proxy for performance.

The better question is no longer simply, “How much did this person produce?”

It is, “What changed because of their work?”

The problem was never too much investment in people

The rise of people-first management did not cause today’s execution problems.

The deeper problem is that organizations often treated employee growth, engagement, performance, and business execution as separate agendas.

Goals lived in one process. Development plans lived in another. Skills data sat in a static profile or spreadsheet. Feedback appeared sporadically. Performance reviews reconstructed the past months later.

Employees could participate in every program and still lack a clear understanding of what mattered most to the business.

That isn’t people-first management. It’s disconnected HR processes and a lack of effective management.

The answer is not to abandon coaching, growth, or employee support in favor of harder performance targets. It is to connect those practices directly to the outcomes the organization needs and support your manager layers to do it better

As Jamie Aitken, Vice President of HR transformation at Betterworks, put it during a recent discussion:

“Develop them to what and why. The answer is business execution.”

That statement exposes the gap in many development programs. Growth without direction may feel supportive, but it does not necessarily prepare people to contribute to the organization’s next priorities.

Development becomes strategically valuable when leaders can answer:

• Which capabilities will our strategy require?

• Which of those capabilities do we already have?

• Where are the most consequential gaps?

• Who can develop or apply those skills quickly?

• How should managers help employees use them in real work?

• Of the people with these critical skills, who is at risk of leaving and how do we best retain them?

This is where people development and performance stop competing.

They become the same operating conversation.

Performance management must connect the “what” and the “how”

A performance-first organization needs clarity about what employees are expected to accomplish.

That starts with goals tied to actual business priorities. Company objectives must translate into team and individual outcomes so people understand where to direct their time and judgment.

But outcomes alone do not explain how the organization will deliver them.

That requires a fuller performance and execution system.

Goals create direction

Employees cannot prioritize effectively when every request appears equally important. Clear, connected goals translate strategy into decisions about what to pursue, what to deprioritize, and what success looks like.

Goal completion should not become another activity metric, however. A completed goal matters because of the result it produced, not because someone moved a status indicator to 100%.

Managers turn direction into execution

Managers sit between strategy and day-to-day work. They help employees interpret priorities, remove obstacles, adjust expectations, and make trade-offs as conditions change.

Yet many managers are expected to improve performance with incomplete context. They enter 1:1s without a current view of goals, recent feedback, demonstrated skills, or shifting business needs.

The result is generic coaching: work harder, communicate more, show greater leadership.

Performance-first management requires more specific conversations:

• Which outcome is at risk?

• What is preventing progress?

• Which capability would help?

• What support or feedback is needed now?

• Does the goal still reflect the business priority?

That is execution management.

Skills create organizational capacity

Strategies do not execute themselves. They depend on capabilities.

The World Economic Forum’s Future of Jobs Report 2025 found that employers expect nearly 40% of job skills to change by 2030. Skills gaps were also the most frequently cited barrier to business transformation.

That makes skills visibility and development a performance issue.

When leaders don’t know what their workforce can do, they can’t confidently assign people to strategic initiatives, identify internal candidates, target development investments, or prepare for emerging work.

Titles and job descriptions are insufficient. They describe where employees sit in the organization, not necessarily what they can (or need to) contribute now.

A performance-first system must connect skills to evidence from real work. It should help leaders understand not only what people achieved, but which capabilities produced those outcomes and which skills are a gap or need to develop next.

AI changes how performance is created

AI does more than increase output. It changes the division of work between people and technology.

Microsoft’s 2026 Work Trend Index argues that as AI agents take on more execution, human contribution increasingly shifts toward directing work, applying judgment, making decisions, and owning outcomes. Its research also found that organizational factors such as culture, manager support, and talent practices were more strongly associated with reported AI impact than individual behavior alone.

That has major implications for performance management.

An employee may produce fewer first drafts but make better strategic decisions. A manager may automate administrative work and spend more time removing barriers for the team. A subject-matter expert may create value by reviewing, correcting, and directing AI-generated work rather than producing every component manually.

Traditional, activity-based measures can miss these contributions.

Organizations will need to evaluate questions such as:

• Did the employee improve the quality or speed of a business decision?

• Did they use AI to increase capacity for higher-value work?

• Could they exercise sound judgment over AI-generated outputs?

• Did they redesign a workflow rather than simply automate an inefficient task?

• Did they share new capabilities with the wider team?

• Did their work produce a measurable business outcome?

Performance in the AI era will not be defined by who appears busiest.

It will be defined by who creates the greatest relevant impact.

Performance-only management creates new risks

A renewed focus on organizational performance is healthy. A narrow fixation on short-term results is not.

Performance-only management can encourage leaders to push for immediate output without investing in the conditions that make results repeatable. It can reward individual wins while weakening collaboration, overlook emerging capabilities, and allow managers to treat development as optional.

It can also produce regrettable talent decisions.

When performance is evaluated through infrequent reviews, fragmented feedback, or manager memory, harder performance demands do not automatically create better accountability. They can amplify inconsistency.

Deloitte’s 2025 human capital research found that 61% of managers and 72% of workers surveyed could not say they trusted their organization’s performance management process. Only 6% of organizations said they were highly effective at using data and evidence to capture worker performance while strengthening trust.

The lesson is not that organizations should retreat from performance.

It is that expectations must be tied to organizational results and paired with better evidence.

A credible performance system should capture context continuously through goals, feedback, coaching conversations, outcomes, and demonstrated capabilities. That gives managers and leaders a more complete basis for reviews, calibration, promotions, mobility, development, and other consequential talent decisions.

Sustainable performance is a continuous, real-time system

Performance cannot be managed effectively as a twice-yearly event.

Priorities change. Teams reorganize. Employees take on new responsibilities. Skills emerge through assignments that may never appear in a formal job description. AI changes workflows faster than most review cycles can document them.

By the time an annual review arrives, the most important performance information may already be outdated.

A modern system operates continuously:

1. Business priorities establish the outcomes that matter.

2. Goals translate those priorities into accountable work.

3. Feedback and progress signals show what is happening now.

4. Managers use that context to coach and remove barriers.

5. Skills data reveals the capabilities behind performance.

6. Leaders use the evidence from the work to make talent decisions.

7. Those decisions help the organization redirect talent as priorities change.

This is how performance management becomes a business execution system, rather than an HR workflow completed after the work is done. 

What performance-first management should look like in practice

The practical question is not whether an organization identifies as people-first or performance-first.

It is whether its management system helps people execute the strategy.

HR and business leaders can begin by examining five areas.

1. Define performance through business outcomes

Clarify the results each team and role is expected to influence. Separate meaningful outcomes from activity, visibility, and sheer volume.

2. Keep goals current

Review goals when priorities change, not only when the performance cycle requires an update. Employees need permission to stop work that no longer serves the strategy.

3. Give managers evidence before asking them to coach

Connect coaching conversations to current goals, feedback, performance patterns, and development needs. Managers cannot provide relevant guidance from memory alone, they need real-time insights already prepared when they walk into their 1-1s.

4. Make skills part of execution

Treat skills as deployable organizational capacity. Use them to inform assignments, mobility, succession, and development, not simply to populate profiles.

Betterworks Skills Intelligence helps organizations surface skills from goals, feedback, conversations, and role context, with employee input and manager verification. The purpose is not to create a larger skills inventory. It is to give leaders a real-time view of capability for development,talent decisions, and to put the right people on the right projects to drive organizational results. 

5. Use continuous context for consequential decisions

Reviews and performance calibration should draw on evidence accumulated through the work, anytime. Shared criteria and fuller context help organizations make decisions more consistently than isolated manager judgments or retrospective summaries. 

Build performance through people

A performance-first model should not force organizations to choose between business outcomes and employee growth. It should connect goals, skills, coaching, feedback, and talent decisions so people can contribute more effectively as priorities change.

That is how performance becomes sustainable: not through higher expectations alone, but through a system that gives people and managers the clarity, capability, and evidence to deliver.