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Six Giants Who Championed Thinking Differently

How Follett, McGregor, Argyris, Deming, Schön, and Schein Made Human Nature Central to Organisational Success

Introduction

In the past, organisations were viewed exclusively as mechanical systems—input resources, apply processes, generate outputs. People were simply another cog in the machine, expected to follow procedures and execute tasks with minimal variation. This “cog in the machine” mentality represents what I term the “Analytic Mindset” in my Marshall Model.

Then came a quiet revolution led by six remarkable thinkers who recognised something profound: the human psyche is the key determinant of organisational performance—indeed, it’s the key driver of everything that matters.

Mary Parker Follett, Douglas McGregor, Chris Argyris, W. Edwards Deming, Donald Schön, and Edgar Schein didn’t just add psychology as an afterthought to management theory. They fundamentally reimagined organisations as psychological systems where human motivation, learning, and avoidance of defensive behaviours determine success or failure. Their insights remain startlingly relevant today, as organisations grapple with employee engagement, innovation, and change in an increasingly fraught world—challenges that require systemic, psychology-informed, and psychotherapy-aided approaches.

The Awakening: Psychology as the Missing Piece

Each of these pioneers arrived at psychology through different paths, but all came to a critical realisation: technical solutions alone could never unlock organisational potential.

Mary Parker Follett was perhaps the earliest voice in this revolution. Working in the 1910s and 1920s, decades before the others, she used psychology and human relations within industrial management to revolutionise organisational behaviour theory. As a former social worker, she understood power dynamics and stressed the importance of human psychology and human relations rather than a mechanical or scientific approach to work and management-employee interactions. Her revolutionary insight was that genuine power should be “power with” rather than “power over”—a fundamentally psychological understanding that challenged the collective assumptions and beliefs about authority and control that dominated organisational thinking—and indeed of the whole human species since the advent of kings.. This distinction would later echo in Adam Kahane’s insight that sustainable change requires balancing power and love, as Martin Luther King Jr. expressed:

“Power without love is reckless and abusive, and love without power is sentimental and anemic.”

~ Martin Luther King Jr.

Douglas McGregor built on this foundation in the 1950s and 60s with his groundbreaking Theory X and Theory Y. His work was rooted in motivation theory alongside the works of Abraham Maslow, and revealed that an organisation’s attitude has a profound impact on employee motivation. McGregor demonstrated that collective assumptions and beliefs about human nature become self-fulfilling prophecies—if you treat people as lazy and unmotivated (Theory X), they’ll behave that way, but if you treat them as capable and self-directed (Theory Y), they’ll rise to meet those expectations.

Chris Argyris began by studying the clash between individual maturity and organisational structures. In the 1950s and 60s, he observed that traditional hierarchies treated adults like children—limiting autonomy, creativity, and growth. His breakthrough insight was that organisational problems weren’t primarily technical or structural, but psychological. People developed defensive routines to protect themselves from threat and embarrassment, creating organisational learning disabilities that perpetuated poor performance.

W. Edwards Deming started as a statistician focused on quality control, but his experience in post-war Japan taught him something unexpected. The remarkable transformation of Japanese manufacturing wasn’t just about statistical methods—it was also about unleashing human potential. By the 1980s, Deming had evolved his thinking to include psychology as the key pillar of his System of Profound Knowledge, recognising that sustainable quality required understanding human motivation, fear, and intrinsic drives.

Donald Schön, working closely with Argyris, focused on how professionals actually think and learn in practice. He discovered that expert performance wasn’t about applying theoretical knowledge mechanically, but about “reflection-in-action”—a fundamentally psychological process of sensing, interpreting, and adapting in real-time. This insight revolutionised how we think about professional development and organisational learning (and see recent post on Andragogy – Lectures link).

Edgar Schein approached psychology through the lens of culture, recognising that every organisation develops unconscious collective assumptions and beliefs that powerfully shape what’s possible, what’s thinkable, even. His work revealed that culture operates at a psychological level, influencing how people perceive reality, what they pay attention to, and how they respond to change.

These pioneers were part of a broader movement that recognised the psychological complexity of human interaction. Eric Berne’s Transactional Analysis, developed in the 1950s, provided another crucial lens for understanding organisational psychology through his Parent-Adult-Child ego states model. Berne demonstrated that much organisational dysfunction stems from people unconsciously operating from unhelpful ego states—managers acting like controlling Parents, employees responding like rebellious Children, rather than engaging as mature Adults. His insight that

“Dysfunctional behaviour is the result of self-limiting decisions made in childhood”

~ Eric Berne

helped explain why organisational change efforts often fail: they don’t address the psychological scripts people bring to work.

The Core Psychological Insights

Despite their different backgrounds, these six thinkers converged on several fundamental psychological principles that remain central to effective organisations:

The Primacy of Human Nature Over Mechanical Systems

All six pioneers understood that organisational problems weren’t primarily technical or structural, but rooted in collective assumptions and beliefs about human nature. This insight forms the foundation of my Marshall Model, which shows how different mindsets create entirely different organisational realities. Follett’s early insight that we might choose to see organisations as networks of human relationships rather than hierarchical machines laid the groundwork for everything that followed. McGregor’s Theory Y revealed that under the right psychological conditions,

“work can be as natural as play”

~ Douglas McGregor

and employees will exercise self-direction toward organisational needs—but only when collective assumptions and beliefs support this potential.

Fear as the Enemy of Performance

Both Follett and Deming understood that freedom from fear was fundamental. Follett’s concept of “power with” created conditions where people could contribute fully without fear of domination or coercion or worse. Deming’s famous exhortation to “drive out fear” wasn’t about creating a pleasant workplace—it was based on the psychological reality that fear destroys learning, innovation, and cooperation, through e.g. the Amygdala Hijack. McGregor’s work showed how Theory X approaches create precisely this kind of fear-based environment that undermines the very performance such organisations seek to achieve.

Learning as a Psychological Process

All six pioneers understood that organisational learning isn’t about information transfer—it’s about changing mental models, collective assumptions and beliefs, and thereby, behaviours. Follett’s concept of “integration” showed how conflicts could become sources of creative solutions rather than win-lose battles. McGregor demonstrated how organisations’ collective assumptions and beliefs shape what’s possible. Argyris and Schön’s distinction between single-loop and double-loop learning showed that real improvement requires questioning governing variables and the collective assumptions and beliefs that drive them, not just fixing symptoms. This demands psychological courage and the ability to tolerate personal discomfort, organisational cognitive dissonance, uncertainty and ambiguity.

The Power of Intrinsic Motivation

Follett’s early insights about human psychology laid the foundation for understanding intrinsic motivation. Her recognition that people naturally seek meaningful contribution and collaborative achievement predated Abraham Maslow’s work by decades. McGregor’s Theory Y was explicitly rooted in motivation theory alongside the works of Maslow and emphasised that people are naturally motivated by challenging work, responsibility, and the opportunity for personal growth. Deming’s psychology component emphasised that people are naturally motivated by pride in workmanship, meaningful contribution, and continuous learning. Schein’s work on culture revealed how extrinsic rewards and punishments undermine the very behaviours they’re intended to encourage.

This understanding of natural human motivation found perhaps its most elegant expression in Marshall Rosenberg’s insight:

“Do nothing that is not play.”

~ Marshall Rosenberg

Rosenberg, founder of Nonviolent Communication, understood that when people connect with their deeper needs and values—when work becomes an expression of their authentic selves rather than external compliance—engagement becomes effortless and joyful. His perspective extends McGregor’s insight about work being “as natural as play” into the realm of conscious choice and intrinsic fulfillment, showing how organisations can create conditions where people bring their whole selves to their contributions without coercion or manipulation.

This insight also resonates deeply with Viktor Frankl’s logotherapy and his profound observation that “those who have a ‘why’ to live, can bear with almost any ‘how.'” Frankl’s work revealed that meaning—not pleasure or power or money—is the primary human drive. In organisational contexts, this translates to the understanding that people don’t just need autonomy and mastery; they need to see how their work connects to something larger than themselves. When organisations help people discover the deeper purpose in their contributions, even challenging work becomes sustainably energising rather than depleting.

Ray Immelman’s “Great Boss Dead Boss” masterfully illustrates this principle through its fictional narrative about transformational leadership. Through the story of Marcus, who inherits a struggling company and gradually learns to see his role as helping people connect with their deeper purpose rather than merely managing performance, Immelman demonstrates the real power of meaning-centered leadership. The book shows how when leaders focus on helping people discover why their work matters—both to themselves and to something larger—organisational excellence becomes inevitable rather than forced.

Defensive Routines as Learning Killers

Perhaps their most practical insight was identifying how organisations systematically defend against the very learning they claim to want. Follett understood how traditional “power over” approaches create resistance and compliance rather than engagement. McGregor showed how Theory X collective assumptions and beliefs become self-fulfilling prophecies that create the very behaviours they expect. Argyris documented how people avoid embarrassment and threat by making important issues “undiscussable,” creating organisational blind spots that persist despite obvious problems. These defensive patterns operate at a psychological level and require psychological interventions that challenge collective assumptions and beliefs to change. See also: SAR organisations.

The Methodology Revolution

These thinkers didn’t just theorise about psychology—they developed practical methods for working with human nature rather than against it:

Integration and Conflict Resolution: Follett pioneered the idea that conflict, rather than requiring compromise, could be a stimulus for innovation. Her integrative approach showed how differences could be resolved through creative solutions that satisfy all parties, laying the groundwork for modern collaborative problem-solving.

Theory Y Management Practices: McGregor’s work led to practical management approaches that emphasised participative decision-making, delegation of authority, and job enrichment—all designed to tap into people’s natural capacity for responsibility and growth.

Action Learning and Reflection: Schön’s concept of reflective practice and Argyris’s action science created structured ways to surface and examine the psychological assumptions driving behaviour. These approaches recognised that change requires ongoing psychological work, not just one-time training events.

Cultural Diagnosis: Schein developed methods for uncovering the unconscious assumptions that drive organisational behaviour. His process consulting approach emphasised psychological dynamics between consultant and client, recognising that how change happens is as important as what changes.

PDSA and Psychological Learning: Deming’s Plan-Do-Study-Act cycle wasn’t just about process improvement—it was a psychological learning method that built prediction, experimentation, and reflection into daily work. This approach honoured how humans naturally learn whilst creating systematic improvement. The contemporary Toyota Kata approach represents a powerful evolution of this insight, creating practice routines that develop people’s thinking patterns rather than just implementing solutions. Kata recognises that sustainable improvement comes from building psychological capability—the ability to see problems clearly, experiment thoughtfully, and learn from results—rather than from prescriptive processes or management directives.

Intervention Theory: Argyris and Schön created rigorous methods for designing interventions that account for psychological dynamics like threat, defensiveness, and face-saving. Their work showed that good intentions aren’t enough—change efforts must be psychologically sophisticated to succeed. John Seddon’s contemporary systems thinking approach – the Vanguard Method – extends this insight, demonstrating how command-and-control interventions create the very problems they’re designed to solve by triggering defensive routines and gaming behaviours that destroy performance.

The Great Divide: Psychology vs. Scientific Management

To fully appreciate the revolutionary nature of these psychology pioneers, we must understand what they were rebelling against: Frederick Winslow Taylor’s Scientific Management, which dominated organisational thinking for much of the 20th century, and even today.

Two Fundamentally Opposite Worldviews

Taylor’s Scientific Management (1880s-1920s) vs. the psychology-centred approaches described herein represent diametrically opposed philosophies about human nature and organisational effectiveness:

On Human Nature:

  • Taylor: People are inherently lazy, avoid responsibility, and are motivated primarily by money. Workers need constant supervision and external control to perform.
  • Psychology Pioneers: People naturally seek meaning, growth, and contribution. Under the right psychological conditions, work becomes as natural as play. These contrasting collective assumptions and beliefs about human nature create entirely different organisational realities.

On Knowledge and Expertise:

  • Taylor: Managers and industrial engineers should study work scientifically to discover the “one best way.” Workers execute; managers think.
  • Psychology Pioneers: Knowledge emerges from collaborative inquiry. Workers possess valuable insights about their work that managers need to hear.

On Motivation:

  • Taylor: External control through financial incentives, time studies, and close supervision drives performance.
  • Psychology Pioneers: Intrinsic motivation through freedom from fear, autonomy, and meaningful work unleashes human potential.

On Conflict and Differences:

  • Taylor: Eliminate conflict through standardisation, clear hierarchical authority, and scientific job design.
  • Psychology Pioneers: Integrate differences through collaborative problem-solving to create innovative solutions.

The Self-Fulfilling Prophecy Problem

McGregor’s most devastating insight was showing how Taylor’s collective assumptions and beliefs become self-fulfilling prophecies. When you treat people as lazy and irresponsible (Theory X), you create systems that make them behave exactly that way. When you assume people are capable and self-directed (Theory Y), you create conditions where they rise to meet those expectations.

Follett understood this decades earlier, recognising that “power over” approaches create resistance and compliance, whilst “power with” approaches generate genuine engagement and creativity. The key insight: collective assumptions and beliefs about human nature shape organisational reality more than formal structures or policies.

Why the Psychology Revolution Is Necessary

By the 1920s-1960s, these pioneers recognised that Taylor’s mechanistic approach had hit a psychological ceiling. Whilst scientific management could optimise individual tasks, it couldn’t:

  • Adapt to changing conditions requiring worker creativity
  • Tap into people’s capacity for innovation and problem-solving
  • Create sustainable motivation beyond basic economic needs
  • Build the collaborative capabilities needed for complex work
  • Generate the organisational learning necessary for continuous improvement

The psychology pioneers didn’t just offer improvements to Taylor’s system—they offered a completely different foundation based on understanding human psychology rather than ignoring it.

The Irony of Implementation

Interestingly, many organisations that claimed to move beyond Taylorism actually just made it more sophisticated. Performance management systems, detailed job descriptions, and standardised processes embody Taylor’s assumptions whilst using the language of empowerment and engagement.

This mirrors a famous irony in software development: Winston Royce’s 1970 paper “Managing the Development of Large Software Systems” described what we now call the Waterfall model—but he explicitly warned that

“the implementation described above is risky and invites failure.”

~ Winston Royce

Royce never advocated for the use of Waterfall as a viable methodology and called the model “grandiose,” arguing that it doesn’t work because requirements change over time. Yet for decades, organisations adopted Waterfall as standard practice, ignoring Royce’s warnings about its deficiencies.

Similarly, Taylor’s Scientific Management was adopted widely despite early critiques. Organisations embraced the surface-level practices—time studies, standardisation, efficiency measures—whilst ignoring the psychological costs that Follett, McGregor, and others had identified. The psychology pioneers understood that truly moving beyond Taylor required fundamental shifts in assumptions about human nature, not just surface-level changes in practices.

The Modern Echo

Today’s organisational debates often replay this fundamental divide. Digital surveillance tools, algorithmic management, and detailed productivity metrics echo Taylor’s mechanistic assumptions. Meanwhile, approaches emphasising freedom from fear, distributed decision-making, and human-AI collaboration reflect the psychology pioneers’ insights.

The choice between these worldviews isn’t merely philosophical—it determines what’s possible in terms of innovation, adaptation, and human flourishing in organisational life. As these six pioneers understood, sustainable organisational success requires working with human psychology, not against it.

Why This Matters More Than Ever

Today’s organisational challenges—from digital transformation to hybrid work to sustainability—all have deep psychological dimensions. The technical solutions are often obvious; the psychological barriers are what prevent implementation.

Peter Drucker’s prescient concept of “knowledge work,” introduced in 1959, anticipated many of these challenges. Drucker recognised that

“the most valuable asset of a 21st-century institution, whether business or non-business, will be its knowledge workers and their productivity.”

~ Peter Drucker

He understood that knowledge work—where people “apply theoretical and analytical knowledge, acquired through formal training, to develop products and services”—requires fundamentally different approaches than industrial work.

Software development exemplifies this shift perfectly. Software developers are archetypal collaborative  knowledge workers because they exemplify collaborative knowledge work where, as Drucker noted, “continuing innovation has to be part of the work, the task and the responsibility of knowledge workers.” The psychology pioneers’ insights become even more crucial in this context: software teams that embrace psychological principles like freedom from fear, shared decision-making, and learning from failure consistently outperform those managed through traditional command-and-control approaches.

Consider these contemporary challenges through the lens of these six pioneers:

Remote Work: The debate about productivity and collaboration misses the psychological reality that trust, belonging, and meaning can’t be mandated—they emerge from how managers think about and treat people. Follett’s “power with” and McGregor’s Theory Y provide blueprints for distributed decision-making that works. Drucker’s insight that “knowledge workers have to manage themselves” and “have to have autonomy” becomes essential when physical oversight is impossible.

Digital Transformation: Most failures aren’t technical but psychological—people resist change not because they can’t learn new systems, but because the change threatens their identity, competence, or relationships, and their individual and collective assumptions and beliefs.

Innovation: Organisations spend billions on innovation processes whilst maintaining cultures that punish failure, discourage experimentation, and reward conformity. The psychology matters more than the processes. When organisations truly embrace the psychology pioneers’ insights about human nature and intrinsic motivation, they achieve what Buckminster Fuller called synergy – where

“behavior of whole systems [is] unpredicted by the behavior of their parts taken separately.”

~ Richard Buckminster Fuller

This synergistic principle, which is reflected in the Synergistic Mindset of the Marshall Model, reveals why psychology-centred approaches consistently generate emergent capabilities that mechanistic management a.k.a. the Anaytic Mindset cannot engineer or control.

Diversity and Inclusion: Sustainable progress requires examining unconscious assumptions and defensive routines, not just policies and training programmes.

The Enduring Legacy

The work of Follett, McGregor, Argyris, Deming, Schön, and Schein offers us a fundamental shift in how we think about organisations. They showed us that:

  • Psychology isn’t soft—it’s the hardest thing to get right
  • Human collective assumptions and beliefs shape organisational reality more than formal structures
  • “Power with” creates more sustainable results than “power over”
  • Culture eats strategy for breakfast because culture operates exclusively through collective assumptions and beliefs
  • Learning organisations require psychological courage, not just learning systems
  • Sustainable change happens through people, not to people

Their insights remain remarkably fresh because they focused on unchanging aspects of human nature rather than management fads. People still need freedom from fear to perform at their best. Organisations still develop defensive routines that prevent learning. Collective assumptions and beliefs still become self-fulfilling prophecies. Culture still operates through unconscious collective assumptions and beliefs. Fear still destroys more potential than any external threat.

The Challenge for Organisations

The message from these psychology pioneers is both humbling and empowering: if you want to liberate organisational performance, start with the psychology. This means:

  • Examining your own mental models, defensive routines, and collective assumptions and beliefs
  • Creating conditions where people can bring their full capabilities to work
  • Designing change processes that honour human psychology rather than ignoring it
  • Building learning capability that challenges existing collective assumptions and beliefs, not just delivering solutions (See: Memeology)

The technical challenges facing organisations today are significant, but they’re not the limiting factor. The limiting factor, as these six visionaries understood decades ago, is our willingness to take psychology seriously as the foundation of organisational excellence.

As systems thinker Donella Meadows would later articulate in her famous “Leverage Points,” the highest-leverage interventions in any system are at the level of paradigms and mindsets—exactly where these psychology pioneers focused their work. Meadows observed that

“the higher the leverage point, the more the system will resist changing it”

~ Donella Meadows

which explains both why these insights about human psychology are so powerful and why they continue to face such obdurate resistance.

Their legacy reminds us that organisations aren’t machines to be engineered, but human systems to be understood, nurtured, and continuously developed. In our data-driven, technology-obsessed world, this insight is more valuable than ever.

Yet despite all the evidence, despite all the research, despite nearly a century of proof that psychology-centred approaches consistently outperform mechanistic ones, it looks like Thinking Differently remains a niche. The Analytic Mindset still dominates, treating people as programmable resources rather than complex psychological beings capable of extraordinary creativity and collaboration when the conditions are right. The Synergistic Mindset gets nary a mention.

Afterword: The Persistent Paradox

One of the most frustrating paradoxes in organisational life is how little these fundamental truths about human nature and organisational dynamics seem to sway managers and executives. Here we have nearly a century of evidence, from rigorous research to real-world case studies, showing that psychology-informed approaches consistently outperform mechanistic ones—yet managers and executives continue to default to command-and-control, measurement-obsessed, fear-based approaches.

Why does this persist? Several factors contribute to this obdurate resistance:

The seductive simplicity of control: Taylor’s approach feels more controllable and predictable. It’s much easier to measure hours worked—never mind the quality of those hours—than psychological engagement, easier to implement standardised processes than to create conditions for emergence and creativity.

Short-term pressure vs. long-term thinking: Psychology-informed approaches often require patience and investment before you see results. Quarterly earnings pressure doesn’t reward building trust or developing people’s intrinsic motivation.

The self-selection problem: The types of people who rise to executive positions often got there by mastering power-over dynamics. They may genuinely not understand or trust power-with approaches because they’ve never experienced them.

Cognitive dissonance: Many executives intellectually agree with these principles but can’t reconcile them with the competitive, zero-sum mental models they operate from. So they implement “engagement surveys” and “wellness programmes” whilst maintaining fundamentally Taylorist structures.

The Waterfall problem redux: Just like with Royce’s warnings about Waterfall, people grab the surface-level techniques—team building, open offices, flat hierarchies—whilst completely missing the deeper psychological principles.

Perhaps most challenging of all, these insights about human nature are so fundamental that they require questioning collective assumptions and beliefs that feel existential to many managers’ sense of identity and competence. As Donella Meadows observed, “the higher the leverage point, the more the system will resist changing it.” The psychology pioneers were working at the highest leverage points in organisational systems—which explains both why their insights are so powerful and why they continue to be resisted or superficially implemented.

John Seddon’s work on systems thinking and his critique of command-and-control approaches represents a contemporary voice continuing this tradition, showing how the psychology pioneers’ insights remain as relevant as ever in understanding why target-driven, measurement-obsessed approaches consistently fail to unlock human potential.

Martin Seligman’s positive psychology movement has similarly extended these insights, demonstrating through rigorous research how focusing on human strengths, engagement, and flourishing—rather than deficits and pathology—creates more effective organisations and healthier individuals.

Jim McCarthy’s influential work on software development team dynamics, particularly his focus on “group psyche” and concepts like “Don’t Flip the Bozo Bit,” showed how psychology-centred approaches could transform software delivery—recognising that team dynamics, not technical factors, are usually the primary constraint in collaborative knowledge work.

My own work in Organisational Psychotherapy extends these insights into the post-1990s era, applying contemporary psychotherapy research to help organisations surface and reflect upon the collective assumptions and beliefs that drive their behaviour—bringing the psychology pioneers’ vision into the 21st century.

Our six giants represent the foundational era when psychology first challenged the mechanistic view of organisations (roughly 1920s-1980s). The revolution in organisational thinking they started remains unfinished, waiting for organisations courageous enough to embrace the full implications of taking human psychology seriously.

In fact, we’ve been waiting so long we might be forgiven for suggesting that management and managers are a key aspect of the problem. The very concept of “management” as a distinct class of people whose job is to control and direct others may be fundamentally incompatible with the psychology pioneers’ insights about human nature and motivation. Perhaps the real revolution isn’t just about better management practices, but about questioning whether traditional management hierarchies are necessary at all in knowledge work environments where, as Drucker observed, workers must manage themselves.

I have explored this radical possibility in my “Organisational Psychotherapy” series, particularly in “Quintessence,” which maps out how highly effective collaborative knowledge work organisations operate without traditional management structures. My work demonstrates that when organisations truly embrace psychology-centred approaches—making “no topics taboo or undiscussable” and building cultures around “collective beliefs and assumptions” that honour human nature—they achieve what I term “quintessential” effectiveness that far exceeds traditionally managed organisations.

Further Reading

Argyris, C. (1990). Overcoming organizational defenses: Facilitating organizational learning. Allyn & Bacon.

Argyris, C., & Schön, D. A. (1974). Theory in practice: Increasing professional effectiveness. Jossey-Bass.

Argyris, C., & Schön, D. A. (1978). Organizational learning: A theory of action perspective. Addison-Wesley.

Berne, E. (1961). Transactional analysis in psychotherapy. Grove Press.

Berne, E. (1964). Games people play: The psychology of human relationships. Grove Press.

Deming, W. E. (1982). Out of the crisis. Cambridge, MA: Massachusetts Institute of Technology, Center for Advanced Engineering Study. (Reissued 1986, MIT Press)

Deming, W. E. (1993). The new economics for industry, government, education. MIT Press.

Drucker, P. F. (1959). The landmarks of tomorrow. Harper & Row.

Drucker, P. F. (1999). Knowledge-worker productivity: The biggest challenge. California Management Review, 41(2), 79-94.

Follett, M. P. (1924). Creative experience. Longmans, Green.

Follett, M. P. (1995). Mary Parker Follett: Prophet of management (P. Graham, Ed.). Harvard Business School Press. (Original work published 1918)

Frankl, V. E. (1946). Man’s search for meaning. Beacon Press.

Fuller, R. B. (1969). Operating manual for spaceship earth. Southern Illinois University Press.

Fuller, R. B. (1975). Synergetics: Explorations in the geometry of thinking, Volume 1. Macmillan Publishing.

Immelman, R. (2013). Great boss dead boss. Partridge Publishing.

Kahane, A. (2010). Power and love: A theory and practice of social change. Berrett-Koehler Publishers.

Marshall, R. W. (2019). Hearts over diamonds: Serving business and society through organisational psychotherapy. Leanpub. https://leanpub.com/heartsoverdiamonds

Marshall, R. W. (2021). Memeology: Surfacing and reflecting on the organisation’s collective assumptions and beliefs. Leanpub. https://leanpub.com/memeology

Marshall, R. W. (2021). Quintessence: An acme for highly effective software development organisations. Leanpub. https://leanpub.com/quintessence

McCarthy, J. (1995). Dynamics of software development. Microsoft Press.

McGregor, D. (1960). The human side of enterprise. McGraw-Hill.

Meadows, D. H. (1999). Leverage points: Places to intervene in a system. Hartland: The Sustainability Institute.

Meadows, D. H. (2008). Thinking in systems: A primer. Chelsea Green Publishing.

Rosenberg, M. B. (2003). Nonviolent Communication: A Language of Life. PuddleDancer Press.

Royce, W. W. (1970). Managing the development of large software systems. Proceedings of IEEE WESCON, 26, 1–9.

Rother, M. (2009). Toyota Kata: Managing people for improvement, adaptiveness and superior results. McGraw-Hill.

Schein, E. H. (1985). Organizational culture and leadership. Jossey-Bass.

Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books.

Seddon, J. (2003). Freedom from command and control: A better way to make the work work. Buckingham: Vanguard Consulting Ltd.

Seligman, M. E. P. (2002). Authentic happiness: Using the new positive psychology to realize your potential for lasting fulfillment. Free Press.

Seligman, M. E. P. (2011). Flourish: A visionary new understanding of happiness and well-being. Free Press.

Taylor, F. W. (1911). The principles of scientific management. Harper & Brothers.


The work of Mary Parker Follett, Douglas McGregor, Chris Argyris, W. Edwards Deming, Donald Schön, and Edgar Schein created the intellectual foundation for modern organisational development. Their focus on psychology as the key driver continues to invite us to consider how we think about leadership, learning, and change in organisations.

When Brilliance Goes Unrecognised

The Hidden Graveyard of Genius

In the domain of innovation, a peculiar tragedy unfolds daily. Genius ideas—those that highlight previously accepted constraints as redundant, and fundamentally rewrite the rules of how we meet human needs—regularly fail to gain traction. But why?

For clarity, when we speak of “strategies” in this context, we refer to deliberate, systematic approaches designed to solve problems or meet folks’ needs—coherent sets of actions, methods, and frameworks that guide how resources are deployed intended to better meet folks’ needs.

How many potentially transformative innovations lie dormant because people simply couldn’t grasp their significance or potential impact? The number is likely staggering.

The Paradox of Genuine Innovation

True genius strategies redefine what’s possible by breaking established rules and challenging fundamental assumptions. They don’t merely improve existing solutions—they make us question why we ever accepted certain limitations in the first place.

Yet herein lies the paradox: the very qualities that make an idea genuinely innovative often make it difficult for people to comprehend. Conversely, if people comprehend it, it’s likely not a genius idea.

The Kuhnian Challenge

Thomas Kuhn’s seminal work on scientific revolutions provides profound insight into this dilemma. Kuhn argued that scientific progress isn’t simply cumulative but involves periodic “paradigm shifts” that fundamentally alter how we understand and approach problems.

What makes Kuhn’s analysis particularly relevant is his recognition that paradigm shifts face extraordinary resistance. Those entrenched in existing paradigms often cannot even properly evaluate new ones—the frameworks for judgment themselves are what’s being challenged. As Kuhn noted,

“The transfer of allegiance from paradigm to paradigm is a conversion experience that cannot be forced.”

This explains why truly genius ideas often languish: they don’t just offer better solutions; they demand we entirely reconstruct our understanding of the problem space itself.

Messy Problem Spaces: The Ackoff Dimension

Russell Ackoff’s insights further illuminate this challenge. Ackoff distinguished between puzzles, problems, and “messes”—complex, interconnected systems of problems. Many genius ideas emerge in response to messes, not isolated problems.

As Ackoff observed,

“We fail more often because we solve the wrong problem than because we get the wrong solution to the right problem.”

Genius innovations often involve recognising that the problem space itself is a mess—an interconnected tangle where conventional approaches address symptoms rather than causes.

When innovators reframe messy problem spaces, they don’t just solve existing problems better—they reveal that we’ve been trying to solve the wrong problems altogether. This profound reorientation is precisely what makes their ideas both brilliant and difficult to grasp for those still operating within the conventional framing, within the status quo set of assumptions and beliefs.

The Obstacles to Recognition

Several factors contribute to this graveyard of unrealised brilliance:

The Comfort of Familiarity: Humans gravitate toward the known. We’ve evolved to be cautious of dramatic departures from established patterns. When an idea challenges our mental models too radically, our instinct is often rejection rather than understanding.

The Curse of Knowledge: Innovators frequently struggle to communicate their breakthroughs because they can’t remember what it’s like not to understand them. The genius sees the redundancy of constraints that others view as immutable laws.

Institutional Resistance: Organisations have vested interests in maintaining current approaches. A truly transformative idea might threaten existing power structures, revenue streams, or expertise—triggering institutional antibodies.

The Demand for Immediate Validation: Our short-term oriented culture struggles with ideas whose full potential might only become apparent years after implementation. Without immediate, easily measurable benefits, many genius concepts never secure the resources needed to flourish.

Historical Perspective

History offers sobering lessons. The initial rejection of Ignaz Semmelweis’s handwashing protocols, which could have saved countless lives, exemplifies how even life-saving innovations can be dismissed when they challenge established thinking. Socrates himself faced the ultimate rejection—death by hemlock—for his disruptive questioning method that challenged conventional wisdom and highlighted the redundancy of Athens’ accepted intellectual constraints. The fax machine, invented in 1843, took over a century to achieve widespread adoption. Nikola Tesla’s vision of wireless energy transmission remains unrealised despite its immense potential.

The Responsibility Gap

Perhaps the most troubling aspect isn’t that genius ideas sometimes fail—it’s that we’ve built few systems to ensure they don’t. Our so-called innovation ecosystems remain better at rewarding incremental improvements than recognising and encouraging (sic) rule-breaking brilliance.

A Path Forward

To reduce this tragic waste of potential, we might choose to:

  1. Cultivate intellectual humility that allows us to recognise when our resistance stems from mental limitations rather than genuine flaws in the idea
  2. Create protected spaces where radical innovations can develop without immediate pressure to demonstrate commercial viability
  3. Train ourselves to distinguish between truly redundant constraints and necessary boundaries
  4. Develop better frameworks for evaluating ideas that challenge our fundamental assumptions

The question isn’t simply academic. Every buried genius strategy represents needs that remain unmet, problems unsolved, and human potential unrealised.

What world-changing ideas might be sitting unrecognised in notebooks, rejected grant applications, or dismissed patents right now? And what responsibility do we bear for building systems that can recognise and nurture them before they’re lost to the graveyard of misunderstood brilliance?

Exploring the Benefits of Deming’s System of Profound Knowledge

What is Deming’s System of Profound Knowledge?

Have you ever wondered why some organisations consistently excel while others struggle, despite similar resources? What if there was a framework that could fundamentally transform how we understand and run organisations?

Who is W. Edwards Deming?

W. Edwards Deming (1900-1993) was an American engineer, statistician, professor, and management consultant who revolutionised manufacturing and business practices worldwide. Though  overlooked in his home country, Deming’s methods helped transform post-war Japan into an economic powerhouse. His approach to quality and management eventually gained recognition globally, albeit much less so in the USA, even following NBC’s 1980 documentary titled “If Japan Can, Why Can’t We?” which highlighted how Japanese manufacturers had embraced Deming’s principles to dramatic effect.

Deming introduced his System of Profound Knowledge (SoPK) as a comprehensive theory for transformation. But what exactly does this system entail?

The System of Profound Knowledge consists of four interconnected domains:

  1. Psychology: How does human behaviour influence organisational performance? What motivates people beyond rewards and punishments? How might understanding human psychology transform management practices? What role does the collective psyche—the shared assumptions, beliefs, and mental models within an organisation—play in shaping how work gets done?
  2. Appreciation for a System: How might our perspective change if we viewed organisations not as collections of separate departments but as interconnected networks where each action affects the whole? What would happen if leaders optimised the entire system rather than individual components?
  3. Knowledge of Variation: What if we recognised that variation exists in all processes? How would our response to problems change if we could distinguish between common causes (inherent in the system) and special causes (specific, identifiable factors)?
  4. Theory of Knowledge: How do organisations learn? What if we approached improvement with a scientific mindset, testing our theories and building knowledge systematically rather than relying on opinions?

Quality and Waste: A Different Perspective?

When products or services fail to meet expectations, do we typically ask “who made this mistake?” or rather “what about our system allowed this to happen?”

Have you noticed how blaming individuals rarely solves recurring problems? What if, instead, organisations examined their systems, processes and collective assumptions?

What might happen if leaders focused on understanding and reducing variation rather than reacting to each failure as an isolated event?

What Drives Genuine Improvement?

Consider how organisations typically approach change and improvement. Do they tend to react to crises, or build learning, change and improvement into everyday work?

What kind of environment emerges when curiosity becomes more valuable than certainty? How might an organisation change if it viewed learning not as a special event but as part of its daily rhythm?

What if every employee felt both empowered and responsible for improving the system they work within? What is employees owned that system?

Decision-Making: Beyond Instinct?

When leaders make decisions, do they typically rely on gut feelings, or evidence? What might change if they used statistical thinking to distinguish between normal variations and significant problems?

Have you noticed how focusing on short-term results can undermine long-term success? What would happen if leaders considered how their decisions affect the entire system rather than optimising isolated parts?

The Human Element: Fear or Pride?

How do you feel when working in an environment dominated by fear of sanction and punishment? Alternatively, how does your work change when you feel trusted and valued?

What motivates people more powerfully—external rewards, or the satisfaction of doing meaningful work well? How might removing barriers that prevent good work transform employee engagement?

The Collective Organisational Psyche

Have you considered how organisations have their own collective psyche—shared assumptions, values, and beliefs that guide folks’ behaviours even without explicit direction? What invisible forces shape decisions and actions throughout the organisation?

How do these collective beliefs influence what gets prioritised, what problems are seen (or remain invisible), and how change initiatives are received? What happens when the collective mindset assumes people cannot be trusted, versus when it assumes people naturally desire to contribute meaningfully?

How might an organisation’s historical experiences create deeply embedded assumptions that continue to influence behaviour long after the original circumstances have changed? What would it take to consciously examine and reshape these collective mental models?

Understanding Customer Needs: Deeper Connections?

How do organisations typically determine what customers need? Do they truly understand the experience of using their products or services?

What if quality was built into every step rather than checked afterwards? How might this shift change the consistency of customer experiences?

Financial Health: Short-term or Sustainable?

Could reducing waste, rework and failure demand significantly lower costs? What happens to customer loyalty when folks’ needs becomes paramount?

How might a reputation for excellence affect an organisation’s market position? What financial benefits emerge when crisis management no longer consumes resources?

A Fundamental Transformation?

What if these questions point to a profound shift in how we think about organisations? Could Deming’s SoPK approach offer a path to creating workplaces that simultaneously benefit customers, employees, and long-term prosperity?

How might our organisations change if we embraced Deming’s principles of profound knowledge?


This blog post uses the Socratic method to explore Deming’s System of Profound Knowledge, inviting readers to question conventional management wisdom and consider a more holistic approach to organisational improvement.

Enhancing Software Development Outcomes

A Cornucopia of Techniques

In the realm of software development, teams have at their disposal a rich array of techniques designed to raise productivity and outcomes. These techniques, evolved over decades, and championed by thought leaders in their respective fields, offer unique approaches to common challenges. Let’s explore some of the most notable ones:

Gilb’s Evolutionary Project Management (Evo)

Tom Gilb’s Evo technique emphasises incremental delivery and the use of quantification, focusing on delivering measurable value to the Folks That Matter™ early and often throughout the development lifecycle.

Goldratt’s Theory of Constraints (TOC)

Eliyahu Goldratt’s TOC encourages teams to identify and manage the primary bottlenecks in their processes, thereby improving overall system performance.

Ackoff and Systems Thinking

Russell Ackoff’s techniques promote viewing problems holistically, considering the interconnections between various parts of a system rather than addressing issues in isolation.

Seddon’s Vanguard Method

John Seddon’s Vanguard method advocates for understanding work as a system, focusing on customer demand and designing the organisation to meet that demand effectively.

Rother’s Toyota Kata

Mike Rother’s Toyota Kata is a practice routine that helps teams develop scientific thinking skills, fostering a culture of continuous improvement and adaptation.

Deming’s System of Profound Knowledge

W. Edwards Deming’s System of Profound Knowledge is a management philosophy that emphasises system thinking, understanding variation, and the importance of intrinsic motivation in the workplace. SoPK consists of four main themes:

  1. Appreciation for a System
    • Understanding how different parts of an organisation interact and work together
    • Recognising that optimising individual components doesn’t necessarily optimise the whole system
  2. Knowledge about Variation
    • Understanding the difference between common cause and special cause variation
    • Recognising when to take action on a process and when to leave it alone
  3. Theory of Knowledge
    • Emphasising the importance of prediction in management
    • Understanding that all management is prediction and that learning comes from comparing predictions with outcomes
  4. Psychology
    • Understanding human behaviour and motivation
    • Recognising the importance of intrinsic motivation over extrinsic rewards and punishments

Marshall’s Organisational Psychotherapy

My own field of Organisational Psychotherapy focuses on techniques for addressing the collective assumptions and beliefs of an organisation, aiming to improve outcomes and overall effectiveness through overhauling these shared assumptions.

The Adoption Quandary

Whilst these various techniques offer glittering avenues for improvement, many development teams find themselves at a crossroads. The crux of the matter lies in two key questions:

  1. Will the effort invested in mastering one or more of these techniques yield a worthwhile return?
  2. More fundamentally though, can we muster the motivation to make the necessary effort?

The Crux: Self-Motivation

The second question is the more critical of the two. It’s not merely about the potential payoff; it’s about the willingness to embark on the journey of learning and mastery in the first place. Crucially, this motivation must emanate from within the team itself, rather than relying on external factors.

Surmounting Inertia

Change is inherently challenging, and the comfort of familiar practices can be a powerful deterrent to adopting new techniques. Teams rarely find the inner drive to overcome this inertia and push themselves towards new horizons.

Nurturing a Desire for Self-Betterment

Fostering a culture that values learning and self-betterment is paramount. When team members view challenges as opportunities for growth rather than insurmountable obstacles, they’re more likely to embrace new techniques. This mindset shift must be initiated and nurtured by the team itself.

Peer-Driven Inspiration

In the all-too-common absence of top-down motivation, teams can look to each other for inspiration and encouragement. By sharing successes, discussing challenges, and collaboratively exploring new techniques, team members can create a supportive environment that fuels self-betterment.

Individual Responsibility

Each team member bears the responsibility for their own personal and professional development. By setting personal goals for improvement and actively seeking out opportunities to learn and apply new techniques, individuals can drive the team’s overall progress.

Conclusion

While the array of available techniques to improve development team outcomes is legion, the true challenge lies not in their complexity or the time required to master them. Rather, it’s in cultivating the self-motivation to pursue excellence and adopt such techniques.

As we ponder the question, “Can we be bothered to make the effort to improve ourselves, our capabilties and our outcomes?”, we must remember that the most successful teams are those who answer with a resounding “Yes” – not because they’re compelled to, but because they genuinely desire to excel. It is this intrinsic commitment to growth and improvement that ultimately distinguishes high-performing teams from the rest. And if the outcomes are simply making the rich (management, shareholders) richer, then none of this is likely to happen.

The journey of improvement commences with a single step, taken not because someone else pushed us, but because we ourselves choose to move forward. In the end, the power to transform our outcomes lies within our own hands. The techniques are there, waiting to be explored and mastered. The question remains: are we ready to take steps towards a better future for ourselves, our teams and our lives? Do we need it?

Postscript

By the bye, this subject was the topic of my keynote at Agile Spain, 2016 2 December 2016, in Vitoria Gasteiz.

The Catch-22 of Productivity

What Fuels Top-Performing Software Companies?

The secret sauce of top-performing software companies often lies in their willingness to explore and implement ideas that fall outside the mainstream. Unlike many companies that stick to orthodoxy and status quo practices, these high-performers embrace the works of thinkers like Deming, Ackoff, Buckminster Fuller, Goldratt, Drucker, Seddon, and Trybus. They find value in methods and theories that many businesses either don’t know about or choose to ignore. This approach fosters a culture of continuous improvement and innovative problem-solving, setting them apart from their competitors.

Why Aren’t These Ideas More Widely Adopted?

There’s a paradox here: The ideas from these thought leaders are available, and their effectiveness has been demonstrated, yet few companies make the leap to implement them. This is usually not due to a lack of resources or information but stems from organisational inertia compounded by ignorance. Companies often feel safer sticking to conventional methods, even when evidence suggests that non-mainstream ideas could lead to significant improvements. This risk-averse mentality can create a barrier to adopting transformative approaches.

How Do Beliefs Impact Productivity?

The collective mindset or shared beliefs within an organisation can serve as either a catalyst or an obstacle to productivity. In high-performing software companies, you’ll often find a culture that not only welcomes but also thrives on unconventional wisdom. This creates a fertile ground for out-of-the-box methods to take root and flourish, driving the company forward in ways that more conventional organisations can’t easily replicate. If you’re curious, my recent book “Quintessence” catalogues and maps over seventy of the unorthodox memes of these top-performing companies.

Can We Simply Adopt Another Company’s Methods?

Transplanting methods from one company to another might seem like a straightforward way to boost productivity. However, those methods were developed within a unique ecosystem, shaped by specific challenges, goals, and culture. Attempting to graft them onto an organisation with differing assumptions and beliefs leads to misalignment, cognitive dissonance, resistance from team members, and even failure of the adopted methods to deliver the expected benefits. “Agile” is a classic example in this regard.

Has Benchmarking Any Value Here?

Many companies rely on industry-standard metrics to gauge their performance, but this approach has its limitations, particularly when comparing against top-performers who use unconventional approaches and thus metrics. These high-performers often evaluate success based on measures specifically tailored to their methods and organisational beliefs. This makes traditional benchmarking ineffective and even misleading when trying to measure up to these high-performing companies.

How Do You Close the Productivity Gap?

If you’re looking to close the productivity gap, tweaking existing methods won’t be sufficient. What’s required is a fundamental shift in organisational beliefs and assumptions that pave the way for consideration and implementation of radical, unorthodox ideas. Companies that are willing to examine their own culture critically, and to challenge the industry status quo, stand a much better chance of making significant strides in productivity.

What’s the Cost of Inaction?

Ignoring the widening gap between your company and high-performers comes at a steep price. As these leading companies continue to innovate and improve, companies that stick to conventional methods risk stagnation. In a worst-case scenario, they become increasingly irrelevant in their industry, losing out on both market share and talent to more forward-thinking competitors.

Here’s a video in which the great Russel L. Ackoff explains the difference between knowledge and understanding, and thereby the difference between analytic and synergistic thinking (Cf. Rightshifting and the Marshall Model).

https://deming.org/ackoff-on-systems-thinking-and-management/

 

As you may know, I’m no longer on Twitter (or any antisocial media for that matter), but John Seddon has recently joined Twitter, so please make him as welcome as you’re able: https://twitter.com/johnwseddon and enjoy his wisdom and insights.

 

The Relevance of Giants – 2. O Sensei (Morihei Ueshiba)

On most every occasion when I’m speaking in public – at conferences, workshops, and the like – I tend to mention one or more of my “Giants” of Rightshifting. Men and women who, through their lives and work have contributed significantly to my understanding of work, and in particular to my understanding of effective collaborative knowledge work.

Many folks express interest in these Giants, but I do wonder if they appreciate the relevance of the ideas and experiences of these Giants to their own daily lives at work.

I mean, what relevance does, say, O Sensei have to developers, testers, operations staff and the like? Which aspects of any of these Giants’ work could be useful or helpful or simply comforting to these folks?

In this occasional series of posts I’ll be exploring some of the Giants’ relevance to folks other than theorists, managers, consultants and the like. I’ll be sharing some insights into their work, and specifically, the likely relevance.

With these posts I hope to pique your curiosity just a little. Let’s continue, with this second post in the series, with O Sensei.

O Sensei

Morihei Ueshiba

(December 14, 1883 – April 26, 1969)  (See also: Wikipedia entry)

I’m not going to dwell on his early life and experiences in the Japanese Army, his adventures in Mongolia, nor his experiences in Manchuria and Japan during the time of World War 2.

Aikido

I suggest the primary relevance of O Sensei to most folks working in the field of software development (and production operations) is Aikido – the martial art he developed. Excepting it’s less a martial art, and more a philosophy for life, and for harmonising with others.

Unlike many other martial arts, Aikido is focussed on caring for others, as emphasised by the translation of the three kanji: ai-ki-do as the Way of Unifying Spirit or the Way of Spiritual Harmony. O Sensei envisioned Aikido as an expression of his personal philosophy of universal peace and reconciliation. O Sensei’s goal was to create an art that practitioners could use to defend themselves while also protecting their attacker from injury.

Blending“, one of the core techniques of Aikido, invites us to look at conflicts from the perspectives of the other person – or people – involved. For me, this has a direct connection with empathy – as promoted by e.g. Marshall Rosenberg and others of the nonviolent community.

“Life is growth. If we stop growing, technically and spiritually, we are as good as dead.”

~ Morihei Ueshiba

Where’s the Relevance?

How do we make it more likely that we’re all spending our time on stuff that matters? How do we go about attending to folks’ real needs? I find blending a great asset in identifying with the needs of others. As I blend, I see their perspective, and their needs, more clearly. And in turn, they can feel more listened-to. And choose to reveal other things, crucial things, that means we get to understand more about what matters to us all. With this knowledge – and goodwill – we have a better chance of focusing on what matters, and of reducing the chance of wasting some or all of our time on the inconsequential, on detours, and on dead ends.

Practical Investigation

You might like to join an Aikido dojo, to practice the physical forms of the techniques. And to discuss the philosophy with like-minded people wha have already started the journey. Beware, though, of those dojos and sensei that emphasise the physical forms at the expense of Aikido philosophy.

– Bob

Further Reading

The Life We Are Given ~ Michael Murphy, George Leonard
The Way of Aikido ~ George Leonard
It’s A Lot Like Dancing ~ Terry Dobson

The Relevance of Giants – 1. Deming

On most every occasion when I’m speaking in public – at conferences, workshops, and the like – I tend to mention one or more of my “Giants” of Rightshifting. Men and women who, through their lives and work have contributed significantly to my understanding of work, and in particular to my understanding of effective collaborative knowledge work.

Many folks express interest in these Giants, but I do wonder if they appreciate the relevance of the ideas and experiences of these Giants to their own daily lives at work.

I mean, what relevance does, say, Bill Deming have to developers, testers, operations staff and the like? Which aspects of any of these Giants’ work could be useful or helpful or simply comforting to these folks?

In this occasional series of posts I’ll be exploring some of the Giants’ relevance to folks other than theorists, managers, consultants and the like. I’ll be sharing some insights into their work, and specifically, the likely relevance.

With these posts I hope to pique your curiosity just a little. Let’s start with Bill Deming.

W. Edwards Deming

Bill Deming

(October 14, 1900 – December 20, 1993)  (See also: Wikipedia entry)

I’m not going to dwell on his work in SPC (Statistical Process Control) or SQC (Statistical Quality Control), his pivotal role in the Japanese post-war economic miracle, his 14 Point system of thought he called the “System of Profound Knowledge”, nor his Plan-Do-Study-Act (PDSA) cycle (the latter being the basis for most Agile approaches, btw).

Deming’s 95/5

I suggest the primary relevance of Deming to most folks working in the field of software development (and production operations) is primarily the idea known as “Deming’s 95/5” (although this originated in a quote from Peter Scholtes).

“The fact is that the system that people work in and the interaction with people may account for 90 or 95 percent of performance.”

From my studies of Deming, and from applying his ideas in my practice, I have come to believe that it’s the interactions between people that account for the lions share of “productivity”, “performance” and “success” in collaborative knowledge work. And the “system” a.k.a. the way the works works has a major (hidden) influence on the quality of those relationships, as well as on the work (output, results) of the individual workers.

“Dr. Deming taught me that 95% of the performance of an organization is attributable to the system (processes, technology, work design, regulations, etc.) and [only] 5% is attributable to the individual.”

~ Tripp Babbitt

Where’s the Relevance?

If, like most people, you’re looking for a better quality of life at work, Deming points the way to us improving our relationships with our colleagues, peers and managers. Maybe this perspective is something to consider on those occasions when you’re less than happy in your work, when you’re checked-out, or disengaged, or frustrated.

And Deming’s attribution of 90-95% of your performance to the system within which you’re obliged to work throws a new light on many typical organisational practices such as history-led recruitment, performance appraisals and reviews, stack ranking, criticisms (and praise) for your efforts, etc.. Your results (and self-esteem) may be taking a hit from the effects and constraints inherent in that system, not from anything you’re doing (or not doing) yourself.

Practical Investigation

Deming designed the Red Bead Experiment to illustrate these very points, in a way that most people can directly relate to.

– Bob

Further Reading

Four Days with Dr Deming ~ Latzko and Saunders
95% of performance is governed by the system ~ Vanguard web page