W. Edwards Deming

William Edwards Deming (14 October 1900 -- 20 December 1993) was an American statistician, professor, author, and management consultant who is widely credited with catalyzing the post-war Japanese quality revolution and subsequently transforming American management thinking. His philosophy of management, grounded in statistical thinking and systems theory, produced concepts that have become foundational to workforce management practice -- most notably the distinction between common cause and special cause variation, the Plan-Do-Check-Act (PDCA) improvement cycle, and the principle that quality problems are overwhelmingly attributable to management systems rather than individual worker performance.

Overview

Deming's influence on workforce management is pervasive but often indirect. He did not write about contact centers or scheduling algorithms. What he provided is something more fundamental: a way of thinking about operational systems that distinguishes between variation inherent in the system (common cause) and variation arising from specific assignable factors (special cause). This distinction is the intellectual foundation of Variance Harvesting, Statistical Process Control for WFM, and every WFM practice that involves separating systemic patterns from anomalies. His insistence that management systems -- not individual workers -- are responsible for the vast majority of quality and productivity problems has profound implications for how WFM practitioners interpret performance data.

Early Life and Education

William Edwards Deming was born on 14 October 1900 in Sioux City, Iowa. His family moved to Powell, Wyoming, when he was young, and he grew up in modest circumstances on a small farm. He attended the University of Wyoming, earning a Bachelor of Science in electrical engineering in 1921. He then pursued graduate studies, receiving a Master of Science from the University of Colorado in 1925 (in mathematics and physics) and a Ph.D. from Yale University in 1928 (also in mathematics and physics).

At Yale, Deming studied under Walter Shewhart's intellectual orbit, though his formal advisor was the physicist Willard Gibbs Professor Charles Newton Little. The encounter with Shewhart would prove transformative.

Career

Western Electric and Shewhart

During his time at Yale, Deming worked as an intern at the Western Electric Hawthorne Works in Cicero, Illinois, where he was exposed to industrial manufacturing and its quality challenges. It was around this period that he encountered Walter Shewhart's work on statistical process control. Shewhart, working at Bell Telephone Laboratories, had developed the control chart and articulated the distinction between "chance cause" (common cause) and "assignable cause" (special cause) variation. Deming recognized the profound implications of Shewhart's thinking and became its foremost interpreter and evangelist.

Government Service

After Yale, Deming worked at the U.S. Department of Agriculture (USDA) as a mathematical physicist, where he applied statistical methods to agricultural research. He taught courses in mathematics and statistics at the USDA Graduate School. In 1938, he moved to the U.S. Census Bureau, where he served as an advisor in sampling methodology. His work at the Census Bureau on sampling techniques contributed to improvements in census methodology and established his reputation as a leading applied statistician.

During World War II, Deming taught statistical process control methods to engineers and managers involved in wartime production. These courses, which reached thousands of participants, demonstrated that statistical methods could dramatically improve manufacturing quality and efficiency. However, after the war ended, American industry largely abandoned these methods, viewing them as wartime expedients rather than permanent management tools.

Japan (1947--1993)

Deming's most famous chapter began in the late 1940s. In 1947, he was recruited to Japan to help prepare for the 1951 Japanese national census. While there, he came into contact with the Union of Japanese Scientists and Engineers (JUSE), which was seeking ways to help Japan rebuild its shattered industrial base. JUSE invited Deming to deliver a series of lectures on statistical quality control.

From June through August 1950, Deming delivered lectures to hundreds of Japanese engineers, managers, and executives. Crucially, he insisted on speaking not only to engineers but to top management, arguing that quality improvement required management commitment and systemic change, not merely better inspection techniques. His message found extraordinarily receptive audiences. Japanese companies -- including Toyota, Sony, Mitsubishi, and Fuji -- adopted his methods with a thoroughness that American companies had not.

Deming declined to accept royalties from the transcripts of his 1950 lectures. In response, JUSE's board of directors established the Deming Prize in December 1950, Japan's most prestigious award for quality management. The prize, still awarded annually, became a symbol of excellence in Japanese industry.

Deming returned to Japan regularly for decades, consulting with Japanese companies and refining his management philosophy. The results were visible in the Japanese economic miracle: by the 1970s and 1980s, Japanese products -- particularly automobiles and electronics -- had achieved quality levels that surpassed their American counterparts.

The American Rediscovery

Deming remained largely unknown in his own country until 24 June 1980, when NBC broadcast the documentary "If Japan Can... Why Can't We?" The program, produced by Clare Crawford-Mason and reported by Lloyd Dobyns, examined why Japanese industry had surpassed American manufacturing quality, and featured Deming prominently as the American statistician who had helped Japan achieve this transformation. The broadcast was a national sensation.

Almost overnight, Deming was inundated with requests from American corporations. Ford Motor Company was among the first to seek his guidance, beginning a consulting relationship in 1981 that helped Ford improve quality and reduce costs. Other major corporations followed, and Deming spent the final thirteen years of his life consulting, teaching, and refining his management philosophy for American audiences. He continued working until shortly before his death on 20 December 1993, at the age of ninety-three.

Key Contributions

The 14 Points for Management

Published in his 1982 book Quality, Productivity, and Competitive Position (later revised and reissued as Out of the Crisis in 1986), Deming's 14 Points constitute a comprehensive management philosophy. Key points relevant to WFM include:

• Point 1: Create constancy of purpose. Organizations should focus on long-term improvement rather than short-term metrics -- a principle that challenges WFM's frequent emphasis on daily or interval-level service level targets at the expense of systemic improvement.
• Point 3: Cease dependence on inspection. Quality should be built into the process rather than inspected after the fact. In WFM terms, this means designing schedules and processes that produce good outcomes rather than monitoring and correcting after the fact.
• Point 5: Improve constantly the system of production and service. Continuous improvement is a management responsibility, not a worker responsibility.
• Point 8: Drive out fear. Workers must feel safe to identify problems and suggest improvements. In contact centers, fear-based performance management -- punitive adherence monitoring, stack-ranked quality scores -- contradicts this principle.
• Point 11: Eliminate numerical quotas. Quotas substitute for leadership and damage quality. This challenges common WFM practices such as rigid adherence targets and average handle time goals.
• Point 12: Remove barriers to pride of workmanship. Workers want to do good work; management systems often prevent them. In contact centers, rigid scripts, micromanagement, and excessive monitoring are such barriers.

The System of Profound Knowledge

In his final book, The New Economics for Industry, Government, Education (1994), Deming articulated his integrated management theory as the "System of Profound Knowledge," comprising four interrelated elements:

1. Appreciation for a system -- understanding that organizations are systems of interdependent components, and that optimizing individual components sub-optimizes the whole. In WFM, this means recognizing that staffing, scheduling, quality, training, and retention are interconnected.
2. Knowledge of variation -- understanding statistical variation, particularly the distinction between common cause and special cause variation. This is the most directly applicable element to WFM practice.
3. Theory of knowledge -- understanding how we learn and predict, including the role of theory in interpreting data.
4. Psychology -- understanding human behavior, motivation, and interaction, including intrinsic versus extrinsic motivation.

Common Cause vs. Special Cause Variation

Deming's most technically impactful contribution to WFM is his interpretation and popularization of Shewhart's distinction between common cause and special cause variation:

Common cause variation is inherent in the system -- the natural fluctuation that occurs even when everything is operating normally. In a contact center, day-to-day variation in call volume, handle time, and service level is mostly common cause variation.

Special cause variation is attributable to specific, identifiable factors outside the normal operation of the system -- a marketing campaign driving unexpected call volume, a system outage forcing agents to use workarounds, a new agent who has not completed training.

Deming argued that the two types require fundamentally different management responses. Attempting to explain or "fix" common cause variation (treating it as if it were special cause) introduces instability into the system -- a mistake he called "tampering." Conversely, failing to identify and address genuine special cause variation allows preventable problems to persist. This distinction is the conceptual foundation of Variance Harvesting in WFM.

The PDCA Cycle

Deming popularized the Plan-Do-Check-Act (PDCA) cycle (which he later preferred to call PDSA -- Plan-Do-Study-Act) as a framework for continuous improvement. Originally developed by Shewhart, the cycle provides a systematic approach to testing changes and learning from results. In WFM, the PDCA framework applies to forecast refinement, schedule optimization, and process improvement initiatives.

Legacy and Impact

Deming's influence extends across multiple management disciplines. His work is a primary intellectual ancestor of the Total Quality Management (TQM) movement, the Six Sigma methodology (though he had reservations about some aspects of Six Sigma), and the broader continuous improvement movement. His emphasis on systems thinking and statistical understanding influenced lean manufacturing, organizational development, and management education.

Connection to Workforce Management

Variance Harvesting -- The common cause/special cause distinction is the core intellectual framework for variance harvesting, the practice of distinguishing between variation that should be managed and variation that should be left alone.

Statistical Process Control for WFM -- SPC methods, rooted in Shewhart's and Deming's work, apply control chart logic to WFM metrics including service level, handle time, forecast accuracy, and schedule adherence.

Six Sigma in Contact Centers -- Six Sigma methodology descends directly from Deming's statistical quality control teaching, though it was formalized by others (notably Bill Smith at Motorola).

Lean Principles Applied to Workforce Management -- Deming's systems thinking and continuous improvement philosophy are foundational to lean WFM practices.

Quality Management -- Deming's philosophy of building quality into the process rather than inspecting for it applies directly to contact center quality assurance practices.

Selected Publications

• Deming, W. Edwards. Some Theory of Sampling. John Wiley & Sons, 1950.
• Deming, W. Edwards. Quality, Productivity, and Competitive Position. MIT Center for Advanced Engineering Study, 1982.
• Deming, W. Edwards. Out of the Crisis. MIT Press, 1986.
• Deming, W. Edwards. The New Economics for Industry, Government, Education. MIT Press, 1994.

See Also

• Variance Harvesting
• Statistical Process Control for WFM
• Six Sigma in Contact Centers
• Lean Principles Applied to Workforce Management
• Quality Management
• Key Figures in Workforce Management