Is Stack Ranking Still Effective in 2025?

February 15, 2025 Leigh McKiernon

At its best, performance management should be a strategic tool: helping organizations identify talent, nurture growth, and ensure every employee’s work supports broader business goals. But in practice, some approaches to performance evaluation subvert these objectives. Among the most debated is stack ranking, also known as forced ranking, where a predetermined percentage—typically the bottom 10 to 15 percent of employees—is labeled as underperforming and targeted for corrective action or termination.

Originally embraced by companies like General Electric, stack ranking was once viewed as a disciplined, data-driven way to sharpen workforce performance. Over time, however, the promised gains came at a high cultural and operational cost. Microsoft famously abandoned it after discovering that internal competition, not collaboration, had become the norm. Amazon and Netflix, though early adopters, have since modified or replaced the model. Even so, stack ranking persists under rebranded processes, especially in performance review systems that emphasize comparative scoring.

So why does this model survive in today’s workplace? And more importantly, is stack ranking effective in the current era of agile teams and knowledge work? This article explores the flaws of stack ranking, revealing how it often promotes fear over focus and undermines the very productivity and accountability it claims to drive.

"A performance system should enable people to do their best work, not fear for their survival."

Leigh McKiernon

A Flawed Foundation: Relative Performance as a Moving Target

At the heart of stack ranking is a deeply problematic assumption: that employee performance can and should be ranked on a curve, regardless of context. Rather than measuring individuals against clear, role-specific expectations or business outcomes, this model evaluates people relative to their peers. In effect, performance becomes a contest rather than a standard. Even in high-functioning teams where everyone is exceeding expectations, someone must inevitably be placed at the bottom. This is not a measure of underperformance; it is a function of the system itself.

The result is a moving target. Employees do not know what specific outcomes will define success, because success is recalibrated based on the collective performance of the group. This makes it difficult to set personal goals, focus on development, or receive meaningful feedback. It also undermines the legitimacy of the review process. Being labeled a “low performer” in a given cycle might say more about the team’s overall excellence than about any individual’s shortcomings.

This system also introduces distortion in less capable teams. When the average level of performance is low, individuals who meet only minimal standards can appear strong simply because others are worse. In both cases, stack ranking fails to provide an accurate or useful picture of capability.

The broader issue lies in the underlying assumption of a bell-curve distribution. While that may hold true in standardized academic settings or broad populations, it rarely applies within curated talent pools. Many modern organizations deliberately hire high performers, meaning the natural distribution often skews upward. Forcing a normal distribution onto this reality creates arbitrary consequences and promotes poor decision-making—outcomes that lie at the center of the flaws of stack ranking and call into question whether stack ranking is effective in today’s performance-driven environments.

Perverse Incentives and the Erosion of Collaboration

Stack ranking fundamentally alters the dynamics of workplace cooperation, turning what should be a collective effort into a contest of individual survival. By framing success as a zero-sum game where one person’s advancement necessitates another’s setback, this system breeds internal competition and diminishes collaboration.

Under stack ranking, employees are compelled to safeguard their status at all costs. They hoard knowledge, refrain from sharing credit, and may even subtly undermine colleagues to bolster their own standing. These behaviors, though rational responses to a flawed incentive structure, corrode trust and cooperation—the bedrocks of effective teamwork.

Behavioral economics underscores the powerful influence of loss aversion in such environments. The fear of being ranked at the bottom outweighs the motivation to excel, leading individuals to prioritize risk aversion over innovation. This stifles creativity and discourages ambitious undertakings that carry inherent uncertainty, despite their potential to drive substantial organizational growth.

Moreover, stack ranking disincentivizes long-term thinking and investment in personal and team development. Instead of pursuing challenging projects with uncertain outcomes, employees opt for safer, more predictable tasks that are less likely to jeopardize their standing. This risk-averse behavior undermines innovation and stagnates progress, limiting an organization’s capacity to adapt and thrive in dynamic markets.

The cumulative effect is a workplace culture marked by heightened defensiveness, diminished psychological safety, and pervasive disengagement. Rather than fostering an environment where individuals can freely exchange ideas and collaborate on meaningful initiatives, stack ranking fosters a toxic atmosphere of self-preservation and distrust. Over time, this erodes morale and saps collective efforts aimed at enhancing team productivity—undermining the very goals that performance management systems should seek to achieve.

Management by Attrition: The Hidden Costs of Forced Turnover

Originally justified as a mechanism to prune underperformers and elevate organizational talent, stack ranking assumes a simplistic view of performance that ignores the complexities of real-world work environments. Rather than accurately identifying consistent underperformance, it often penalizes individuals based on skewed metrics and subjective judgments.

Employees contribute within intricate ecosystems influenced by team dynamics, project nuances, resource availability, and leadership effectiveness—factors that stack ranking reduces to a singular metric: rank. This reductionist approach fails to capture the nuanced value individuals bring to their roles and projects.

Consequently, capable employees—whether new to the organization, quieter in demeanor, or tackling particularly challenging assignments—may unjustly fall into the category of low performers. Conversely, those adept at navigating office politics may shield themselves from scrutiny, irrespective of their actual contributions. This disparity undermines morale and distorts organizational priorities.

The long-term repercussions of stack ranking are profound. It drives away high-potential talent who perceive the system as arbitrary and unfair, exacerbating turnover rates among top performers. The continuous need to replace departing talent inflates recruitment costs, lengthens onboarding periods, and erodes institutional knowledge as experienced employees exit the organization.

Moreover, stack ranking alters managerial focus from nurturing and developing talent to justifying and executing exits. Rather than fostering growth through coaching and mentorship, managers are pressured to construct narratives that justify their decisions to remove individuals from the organization—a practice that erodes trust and stifles innovation.

In essence, stack ranking transforms from a tool of performance evaluation into a mechanism of attrition. It diminishes employee potential, fosters a culture of instability, and undermines efforts to cultivate sustainable talent retention strategies and long-term organizational success.

Misaligned with Modern Work: Ambiguity, Agility, and Knowledge Economies

The stack ranking system, once touted as a benchmark of efficiency in traditional industries, struggles to adapt to the complexities of contemporary workplaces. Originally conceived for roles with clear metrics and predictable outcomes—like manufacturing or sales—it imposes a rigid framework onto roles that demand flexibility, collaboration, and adaptive thinking.

Modern work environments thrive on cross-functional teams where success hinges on collective effort rather than individual performance rankings. Roles are dynamic, objectives evolve, and timelines often shift—conditions that stack ranking fails to accommodate. In these settings, where the value of contributions can be nuanced and multifaceted, stack ranking oversimplifies performance evaluation, emphasizing visibility over genuine impact.

Moreover, the system disregards the inherent ambiguity of many roles in today’s knowledge economies. Valuable contributions often stem from intangible factors like mentorship, knowledge sharing, and team cohesion—elements that are difficult to quantify within the confines of a ranked list. By prioritizing individual metrics over collaborative outcomes, stack ranking undermines the very qualities essential for innovation and sustained growth.

In agile and creative environments, where experimentation and resilience are crucial, stack ranking fosters a culture of risk aversion and stifles initiative. Employees are discouraged from taking on exploratory roles or investing in long-term projects that may not yield immediate results but could drive substantial innovation over time. This short-term focus undermines strategic goals and limits an organization’s capacity to adapt and thrive in competitive markets.

Ultimately, stack ranking represents a relic of outdated management practices ill-suited to today’s dynamic work environments. To foster innovation and maximize productivity, organizations must embrace performance evaluation frameworks that prioritize collaboration, continuous learning, and holistic contributions—values that align with the realities of modern work and support long-term success.

At its essence, stack ranking represents a flawed attempt to instill accountability through a system that often undermines true meritocracy. While purporting to offer clear metrics and accountability, it instead fosters a culture of competition, politicization, and organizational dysfunction.

Performance management remains vital for organizations seeking to identify and nurture talent effectively. However, the approach must evolve beyond the limitations of stack ranking. Moving forward requires a shift towards frameworks that prioritize fairness, transparency, and empathy over arbitrary comparisons.

The future of performance management lies in establishing clear, objective performance standards aligned with strategic outcomes. This approach ensures that evaluations are rooted in tangible achievements rather than relative comparisons among colleagues. Furthermore, continuous feedback and coaching should replace sporadic assessments, fostering ongoing growth and development.

Central to this evolution is a focus on measuring impact and growth comprehensively. This means recognizing contributions that extend beyond immediate metrics to include mentoring, knowledge sharing, and collaborative successes that drive long-term organizational success.

Ultimately, a progressive performance management system should empower employees to excel without fear of arbitrary consequences. It should nurture a collaborative culture where innovation thrives, and individuals are motivated to contribute meaningfully to collective goals.

For organizations aiming to thrive in today’s competitive landscape, embracing these principles marks a departure from outdated practices like stack ranking. Instead, they signal a commitment to fostering team productivity, enhancing talent retention, and cultivating environments where individuals can flourish and organizations can prosper.

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