By: Dr. Stephanie Diana Eubank, DBA 

The first chapter of my book introduces a critical business concept: productivity is not guesswork; it is a measurable, data-driven construct rooted in established management science. Productivity, in its simplest form, is the ratio of outputs to inputs and serves as a cornerstone of operational efficiency and workforce planning. Yet, in practice, many organizations fail to apply this concept correctly, leading to unrealistic expectations, employee burnout, and high turnover. 

From a standard business perspective, productivity and quotas are typically calculated using quantitative data, historical performance trends, and industry benchmarks. Operations management literature emphasizes that effective productivity metrics must be grounded in time studies, workload analysis, and empirical evidence (Heizer, Render, & Munson, 2017). Similarly, quotas should reflect achievable performance levels based on realistic capacity, not aspirational or arbitrary targets. 

However, in my consulting practice, I have encountered leaders who abandon these principles entirely. Instead of aligning quotas with data, they impose astronomical expectations that exceed industry norms. The result is predictable: a revolving door of hires, employee disengagement, and long-term damage to organizational culture. 

One particularly telling example stands out. When I asked a leader how quotas and productivity standards were determined for her team, she responded, “People never learn their limits until you set unrealistic goals.” While this statement may sound motivational on the surface, it reflects a fundamental misunderstanding of organizational behavior and performance management. 

Research in organizational psychology demonstrates that excessively difficult or unrealistic goals can actually decrease performance, particularly when employees perceive them as unattainable (Locke & Latham, 2002). Instead of motivating employees, such goals often lead to stress, disengagement, and eventual turnover. Goal-setting theory clearly indicates that goals should be challenging yet attainable, supported by feedback and resources. 

Unrealistic quota systems also create structural harm. They distort performance evaluation, encourage counterproductive work behaviors, and erode trust between leadership and staff. Over time, organizations that rely on inflated expectations rather than data-driven planning struggle to retain talent and maintain operational consistency. 

Effective leaders understand that productivity systems must be designed with both precision and empathy. This includes using quantitative data to establish baselines, validating assumptions against industry standards, and continuously refining metrics based on actual performance outcomes. More importantly, it requires recognizing that employees are not variables to be pushed beyond limits, but contributors whose sustainability directly impacts organizational success. 

This is why I included this analysis in the first chapter of my book. Misaligned productivity expectations are not just a technical issue; they are a leadership issue. Organizations that prioritize clarity, fairness, and data-driven decision-making are far more likely to achieve long-term success than those driven by unrealistic demands. 

About the Book 

My book explores the intersection of productivity, leadership, and organizational design, focusing on practical strategies for creating sustainable and effective workplaces. It is currently available for purchase on Amazon. Readers can learn more and order their copy here: https://www.amazon.com/dp/B0H5BPJCHJ 

References (APA 7) 

Eubank, S. D. (2026). Remote Work Is Here to Stay: Rethinking Operations Management in the Modern Work Era. ISBN-13-979-8181361850

Heizer, J., Render, B., & Munson, C. (2017). Operations management (12th ed.). Pearson. 

Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation. American Psychologist, 57(9), 705–717. 

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Also, be sure to check out my first textbook on Operations Management. The book is titled “Remote Work Is Here to Stay: Rethinking Operations Management in the Modern Work Era.” You can purchase the textbook on Amazon at the link below.