Ten Films That Taught Me About Fear (and Quality)

A Halloween confession from someone who spends their days investigating quality failures

Halloween seems like the perfect time for a personal confession: I’m a horror film devotee. Not the kind who seeks out the latest gore-fest or jump-scare factory, but someone drawn to the films that understand fear as something more complex than shock value. These ten films have shaped not just my appreciation for cinema, but my understanding of how we process uncertainty, confront the unknown, and maintain psychological safety in the face of genuine threat.

It strikes me that there’s something deeply familiar about the best horror films for someone who works in quality systems. Both domains are fundamentally about investigating what goes wrong, understanding the nature of threat, and building frameworks to manage the unmanageable. The films that have stayed with me longest are the ones that treat fear with the same seriousness I try to bring to quality investigations—as a signal worth understanding rather than a problem to be quickly resolved.

The Foundation: Four Classics

The Haunting (1963) remains the gold standard for atmospheric horror. Robert Wise’s adaptation of Shirley Jackson’s novel creates terror through suggestion, architecture, and Julie Harris’s powerhouse performance as Eleanor Lance. What makes this film essential is its understanding that the most effective horror comes from internal uncertainty rather than external threat. Eleanor’s breakdown mirrors the kind of systemic failure I see in quality investigations—a slow erosion of confidence until the very frameworks meant to provide safety become sources of fear.

The Thing (1982) represents John Carpenter at his paranoid peak. This Antarctic nightmare about shape-shifting aliens attacking a research station operates as both visceral horror and meditation on trust, isolation, and the breakdown of social systems. The film’s exploration of how groups respond to existential threat—the descent into suspicion, the collapse of collaborative decision-making, the way fear transforms competent professionals into reactive survivors—feels remarkably relevant to anyone who’s witnessed organizational crisis.

The Wicker Man (1973) stands as perhaps the greatest film about belief systems in collision. Edward Woodward’s devout Christian policeman investigating a missing child on a pagan Scottish island creates a masterclass in cultural investigation that ends in one of cinema’s most shocking conclusions. The film’s exploration of how our fundamental assumptions about right and wrong can become liabilities in unfamiliar contexts resonates with anyone who’s tried to implement quality systems across different organizational cultures.

The Exorcist (1973) anchors supernatural horror in mundane medical and institutional reality. William Friedkin’s methodical approach treats possession as a quality problem—ruling out rational explanations, bringing in specialists, following established procedures until those procedures fail. The film’s power comes from its recognition that some problems exceed our frameworks for understanding them, but that professional competence and human connection remain our best tools for confronting the incomprehensible.

The Art House Visionaries

Possession (1981) might be Andrzej Żuławski’s masterpiece of marital breakdown as cosmic horror. Isabelle Adjani and Sam Neill deliver performances of such raw intensity that the film becomes genuinely disturbing on multiple levels—domestic, psychological, and existential. Like the best quality investigations, the film refuses simple explanations, building layers of interpretation that deepen rather than resolve the central mystery. Its exploration of how personal and professional relationships disintegrate under stress feels uncomfortably relevant to anyone who’s worked through organizational crisis.

Don’t Look Now (1973) uses Nicolas Roeg’s innovative editing and Venice’s maze-like geography to create a ghost story that’s really about grief, memory, and the dangerous comfort of pattern recognition. Donald Sutherland and Julie Christie’s grieving couple chasing mysterious signs in the aftermath of their daughter’s drowning creates the same kind of interpretive challenge I encounter in complex quality investigations—when do meaningful patterns become dangerous obsessions? The film’s shocking ending suggests that our need to find meaning in tragedy can become its own form of blindness.

The Psychological Deep Cuts

Session 9 (2001) transforms an abandoned mental hospital into a meditation on workplace stress, environmental contamination, and the thin line between professional competence and psychological breakdown. Brad Anderson’s low-budget masterpiece follows asbestos removal workers slowly succumbing to the building’s malevolent influence, creating genuine atmospheric dread without relying on supernatural explanations. The film’s exploration of how work environments shape psychological states resonates with anyone who’s spent time investigating workplace safety and culture.

Cure (1997) stands as Kiyoshi Kurosawa’s masterpiece of J-horror psychological investigation. Detective Takabe’s pursuit of a serial killer who somehow compels ordinary people to commit murders creates a procedural that becomes increasingly surreal and disturbing. The film’s exploration of social disconnection, memory, and the infectious nature of certain ideas operates as both police procedural and existential horror. Its methodical approach to inexplicable events mirrors the investigative mindset required for complex quality problems.

Kill List (2011) begins as a gritty crime drama about two ex-military contractors taking a mysterious job, then transforms into something far more disturbing. Ben Wheatley’s exploration of violence, trauma, and masculine identity builds to one of the most shocking endings in recent horror. The film’s refusal to explain its supernatural elements creates the same interpretive challenge I encounter in quality investigations where the data suggests conclusions that exceed our frameworks for understanding.

The Contemporary Master

When Evil Lurks (2023) represents Demián Rugna’s breakthrough achievement in possession horror. This Argentinian film about two brothers trying to stop a demonic outbreak creates genuine dread through its systematic approach to supernatural contagion. The film’s exploration of how well-intentioned interventions can accelerate rather than resolve crisis resonates with anyone who’s witnessed quality initiatives that inadvertently destabilize the systems they’re meant to improve.

Candyman (1992) transcends typical slasher conventions through Bernard Rose’s exploration of urban legends, racial commentary, and the power of belief itself. Virginia Madsen’s academic investigation into the Candyman legend in Chicago’s Cabrini-Green projects becomes a meditation on how stories shape reality, how research changes researchers, and how some truths carry dangerous consequences. Tony Todd’s iconic performance and Philip Glass’s haunting score elevate what could have been exploitation into genuine social horror.

What Horror Teaches Quality

Reflecting on these films, I’m struck by how many of their themes echo the work I do in quality. The best horror films understand that fear isn’t about shock value—it’s about the breakdown of systems we depend on for safety and meaning. They explore how competent professionals respond when their frameworks fail, how groups make decisions under extreme stress, and how the investigation process itself can become a source of contamination.

Perhaps most importantly, these films understand that the most effective horror comes from taking time—building atmosphere, developing character, allowing dread to accumulate through patient observation rather than manufactured surprise. It’s the same patience required for effective quality work, the same recognition that sustainable solutions emerge from understanding systems rather than treating symptoms.

This Halloween, as I revisit these films, I’m reminded that horror at its best is really about resilience—how we maintain professional competence and human connection when everything familiar becomes unreliable. That’s a lesson worth carrying beyond October, into every quality investigation, every organizational crisis, every moment when the frameworks we depend on prove insufficient to the challenges we face.

The best horror films, like the best quality work, don’t provide easy answers. They create space for sitting with uncertainty, for maintaining curiosity in the face of fear, for remembering that our professional competence is most valuable precisely when our personal comfort is most threatened.

Perhaps that’s what I love most about these films: they treat fear as information rather than obstacle, as signal rather than noise. In a world that increasingly demands quick fixes and simple explanations, they offer something more valuable—the discipline of patient observation, the courage of sustained inquiry, and the recognition that some mysteries are worth living with rather than solving away.

What horror films have shaped your understanding of fear, uncertainty, or resilience? I’d love to hear about the films that have taught you something beyond scares, the ones that have changed how you think, as I am always looking for horror movie recommendations.

The Authenticity Paradox: When Being Yourself Isn’t Enough

Reading Tomas Chamorro-Premuzic’s latest research on authenticity has me wrestling with some uncomfortable truths about my own advice. In my post about bringing your authentic self to work, I championed the power of psychological safety through genuine connection. But Chamorro-Premuzic’s work reveals a blind spot in that thinking—one that challenges us to be more sophisticated about what authenticity actually means in practice.

The research is compelling and frankly, a bit humbling. A meta-analysis of 55 studies found that impression management, not self-perceived authenticity, was most strongly linked to leadership emergence and effectiveness. Even more striking: those who effectively manage impressions are actually perceived as more authentic by others than those who simply “let it all hang out”

The Quality Professional’s Dilemma

This hits particularly close to home for those of us in quality roles. We pride ourselves on truth-telling, on being the voice that says what others won’t. But here’s where Chamorro-Premuzic’s work gets uncomfortable: your authentic impulse to point out every flaw might be undermining the very psychological safety you’re trying to create.

Think about it. How many times have you seen a quality professional’s “radical candor” shut down a conversation rather than open it up? When we lead with our unfiltered assessment—”this process is broken” or “this deviation shows poor thinking”—we might feel authentic, but we’re often creating the opposite of psychological safety.

The research shows nine common workplace scenarios where subjective authenticity backfires, from sharing political beliefs to venting raw emotions to taking full credit for successes. For quality professionals, add a few more: leading with compliance threats rather than partnership, defaulting to criticism over curiosity, or using regulatory requirements as a conversation stopper rather than starter.

Reframing Authenticity as Responsibility

What Chamorro-Premuzic’s work suggests is that authentic leadership isn’t about expressing your true feelings—it’s about taking responsibility for the impact of those feelings on others. This doesn’t mean becoming fake or manipulative. It means recognizing that your role as a quality leader extends beyond your personal comfort zone.

The most effective quality professionals I know aren’t necessarily the most “authentic” in the raw sense. They’re the ones who’ve learned to translate their expertise into language that creates connection rather than distance. They ask questions before making pronouncements. They acknowledge uncertainty while still providing direction. They regulate their frustration with non-compliance in service of building the relationships that actually drive sustainable improvement.

This is what Chamorro-Premuzic calls “strategic impression management”—not deception, but the disciplined choice to present the version of yourself that serves the broader mission.

The Authenticity-Safety Balance

Here’s where this gets nuanced for quality professionals: psychological safety requires both authenticity and boundaries. People need to see that you’re genuine, that you care, that you’re not just following a script. But they also need to trust that you won’t use their openness against them, that your feedback will be constructive rather than crushing, that your standards serve improvement rather than judgment.

The research suggests that the most effective approach involves being selective about which aspects of your authentic self you bring to different situations. This means:

  • Sharing your passion for quality without overwhelming people with your frustration about poor practices
  • Being vulnerable about your own learning journey without undermining confidence in your expertise
  • Expressing concern about risks without creating paralyzing fear
  • Demonstrating your values through your choices rather than your commentary

Beyond the Either/Or Trap

Chamorro-Premuzic’s work helps us escape the false choice between being “authentic” or “professional.” The real question isn’t whether to be yourself, but which version of yourself will create the conditions for others to do their best work.

For quality professionals, this might mean:

  • Leading with curiosity rather than criticism, even when your authentic reaction is frustration
  • Framing compliance requirements as shared challenges rather than personal mandates
  • Acknowledging the complexity of quality decisions rather than defaulting to black-and-white thinking
  • Investing in relationships before withdrawing the currency of those relationships through difficult conversations

The Long Game of Influence

What strikes me most about this research is how it reframes effectiveness. Chamorro-Premuzic argues that your ability to lead depends not on expressing your true feelings, but on understanding what others feel and need. For quality professionals, this is a fundamental shift from being right to being useful.

This doesn’t mean abandoning your principles or softening your standards. It means recognizing that your expertise is only as valuable as your ability to translate it into action through others. And that translation requires the emotional discipline to modulate your authentic impulses in service of your authentic purpose.

Perhaps the most authentic thing we can do as quality leaders is admit that our unfiltered selves might not always serve the people we’re trying to help. That the discipline of impression management—choosing how to show up rather than just showing up—might be the most honest way to honor both our expertise and our responsibility to others.

The goal isn’t to become inauthentic. It’s to become authentically effective. And sometimes, that means being strategic about which parts of our authentic selves we choose to share, when we share them, and how we frame them in service of building the trust and psychological safety that quality culture truly requires.

A Guide to Essential Safety Thinkers: Minds That Have Transformed Quality Through System Understanding

Safety science has evolved from a narrow focus on preventing individual errors to a sophisticated understanding of how complex socio-technical systems create both failure and resilience. The intellectual influences explored in this guide represent a paradigm shift from traditional “blame and fix” approaches to nuanced frameworks that recognize safety and quality as emergent properties of system design, organizational culture, and human adaptation.

These thinkers have fundamentally changed how quality professionals understand failure, risk, and the role of human expertise in creating reliable operations. Their work provides the theoretical foundation for moving beyond compliance-driven quality management toward learning-oriented, resilience-based approaches that acknowledge the inherent complexity of modern organizational systems.

System Failure and Accident Causation

Sidney Dekker

The architect of Safety Differently and New View thinking

Sidney Dekker has fundamentally transformed how we understand human error and system failure. His work challenges the traditional focus on individual blame, instead viewing errors as symptoms of deeper system issues. Dekker’s concept of “drift into failure” explains how systems gradually migrate toward unsafe conditions through seemingly rational local adaptations. His framework provides quality professionals with tools for understanding how organizational pressures and system design create the conditions for both success and failure.

James Reason

The Swiss Cheese model creator and error management pioneer

James Reason’s work provides the foundational framework for understanding how organizational failures create the conditions for accidents. His Swiss Cheese model demonstrates how multiple defensive layers must align for accidents to occur, shifting focus from individual error to organizational defenses. Reason’s 12 principles of error management offer practical guidance for building systems that can contain and learn from human fallibility.

Charles Perrow

The normal accidents theorist

Charles Perrow revolutionized safety thinking with his theory of “normal accidents” – the idea that in complex, tightly-coupled systems, catastrophic failures are inevitable rather than preventable. His work demonstrates why traditional engineering approaches to safety often fail in complex systems and why some technologies may be inherently too dangerous to operate safely. For quality professionals, Perrow’s insights are crucial for understanding when system redesign, rather than procedural improvements, becomes necessary.

Resilience Engineering and Adaptive Capacity

Erik Hollnagel

The resilience engineering pioneer and ETTO principle creator

Erik Hollnagel’s resilience engineering framework fundamentally shifts safety thinking from preventing things from going wrong (Safety-I) to understanding how things go right (Safety-II). His four cornerstones of resilience – the ability to respond, monitor, learn, and anticipate – provide quality professionals with a proactive framework for building adaptive capacity. The ETTO (Efficiency-Thoroughness Trade-Off) principle explains why organizations must balance competing demands and why perfect safety procedures are often impractical.

David Woods

The cognitive systems engineering founder

David Woods co-founded both cognitive systems engineering and resilience engineering, fundamentally changing how we understand human-system interaction. His concept of “graceful extensibility” explains how systems must be designed to adapt beyond their original parameters. Woods’ work on joint cognitive systems provides frameworks for understanding how human expertise and technological systems create integrated performance capabilities.

Systems Theory and Complexity

Nancy Leveson

The STAMP framework architect

Nancy Leveson’s Systems-Theoretic Accident Model and Processes (STAMP) provides a approach to understanding accidents in complex systems. Unlike traditional event-chain models, STAMP views accidents as control problems rather than failure problems. Her work is essential for quality professionals dealing with software-intensive systems and complex organizational interfaces where traditional hazard analysis methods prove inadequate.

Human and Organizational Performance

Todd Conklin

The Human and Organizational Performance (HOP) advocate

Todd Conklin’s five principles of Human and Organizational Performance represent a contemporary synthesis of decades of safety science research. His approach emphasizes that people make mistakes, blame fixes nothing, learning is vital, context drives behavior, and how we respond to failure shapes future performance. Conklin’s work provides quality professionals with practical frameworks for implementing research-based safety approaches in real organizational settings.

Organizational Learning and Safety Culture

Andrew Hopkins

The organizational accident analyst

Andrew Hopkins’ detailed analyses of major industrial disasters provide unparalleled insights into how organizational factors create the conditions for catastrophic failure. His work on the BP Texas City refinery disaster, Longford gas plant explosion, and other major accidents demonstrates how regulatory systems, organizational structure, and safety culture interact to create or prevent disasters. Hopkins’ narrative approach makes complex organizational dynamics accessible to quality professionals.

  • Safety, Culture and Risk: The Organisational Causes of Disasters (2005) – Essential framework for understanding how organizational culture shapes safety outcomes.

Carl Macrae

The healthcare resilience researcher

Carl Macrae’s work bridges safety science and healthcare quality, demonstrating how resilience engineering principles apply to complex care environments. His research on incident reporting, organizational learning, and regulatory systems provides quality professionals with frameworks for building adaptive capacity in highly regulated environments. Macrae’s work is particularly valuable for understanding how to balance compliance requirements with learning-oriented approaches.

  • Close Calls: Managing Risk and Resilience in Airline Flight Safety (2014) – Comprehensive analysis of how aviation creates reliability through systematic learning from near-misses.
  • Learning from Failure: Building Safer Healthcare through Reporting and Analysis (2016) – Essential guide to building effective organizational learning systems in regulated environments.

Philosophical Foundations of Risk and Speed

Paul Virilio

The dromology and accident philosopher

Paul Virilio’s concept of dromology – the study of speed and its effects – provides profound insights into how technological acceleration creates new forms of risk. His insight that “when you invent the ship, you also invent the shipwreck” explains how every technology simultaneously creates its potential for failure. For quality professionals in rapidly evolving technological environments, Virilio’s work explains how speed itself becomes a source of systemic risk that traditional quality approaches may be inadequate to address.

  • Essential Books: Speed and Politics (1986) – The foundational text on how technological acceleration reshapes power relationships and risk patterns.
  • The Information Bomb (2000) – Essential reading on how information technology acceleration creates new forms of systemic vulnerability.

This guide represents a synthesis of influences that have fundamentally transformed safety thinking from individual-focused error prevention to system-based resilience building. Each recommended book offers unique insights that, when combined, provide a comprehensive foundation for quality leadership that acknowledges the complex, adaptive nature of modern organizational systems. These thinkers challenge us to move beyond traditional quality management toward approaches that embrace complexity, foster learning, and build adaptive capacity in an uncertain world.

Let me know of others you recommend!

The Deep Ownership Paradox: Why It Takes Years to Master What You Think You Already Know

When I encounter professionals who believe they can master a process in six months, I think of something the great systems thinker W. Edwards Deming once observed: “It is not necessary to change. Survival is not mandatory.” The professionals who survive—and more importantly, who drive genuine improvement—understand something that transcends the checkbox mentality: true ownership takes time, patience, and what some might call “stick-to-itness.”

The uncomfortable truth is that most of us confuse familiarity with mastery. We mistake the ability to execute procedures with the deep understanding required to improve them. This confusion has created a generation of professionals who move from role to role, collecting titles and experiences but never developing the profound process knowledge that enables breakthrough improvement. This is equally true on the consultant side.

The cost of this superficial approach extends far beyond individual career trajectories. When organizations lack deep process owners—people who have lived with systems long enough to understand their subtle rhythms and hidden failure modes—they create what I call “quality theater”: elaborate compliance structures that satisfy auditors but fail to serve patients, customers, or the fundamental purpose of pharmaceutical manufacturing.

The Science of Deep Ownership

Recent research in organizational psychology reveals the profound difference between surface-level knowledge and genuine psychological ownership. When employees develop true psychological ownership of their processes, something remarkable happens: they begin to exhibit behaviors that extend far beyond their job descriptions. They proactively identify risks, champion improvements, and develop the kind of intimate process knowledge that enables predictive rather than reactive management.

But here’s what the research also shows: this psychological ownership doesn’t emerge overnight. Studies examining the relationship between tenure and performance consistently demonstrate nonlinear effects. The correlation between tenure and performance actually decreases exponentially over time—but this isn’t because long-tenured employees become less effective. Instead, it reflects the reality that deep expertise follows a complex curve where initial competence gives way to periods of plateau, followed by breakthrough understanding that emerges only after years of sustained engagement.

Consider the findings from meta-analyses of over 3,600 employees across various industries. The relationship between organizational commitment and job performance shows a very strong nonlinear moderating effect based on tenure. The implications are profound: the value of process ownership isn’t linear, and the greatest insights often emerge after years of what might appear to be steady-state performance.

This aligns with what quality professionals intuitively know but rarely discuss: the most devastating process failures often emerge from interactions and edge cases that only become visible after sustained observation. The process owner who has lived through multiple product campaigns, seasonal variations, and equipment lifecycle transitions develops pattern recognition that cannot be captured in procedures or training materials.

The 10,000 Hour Reality in Quality Systems

Malcolm Gladwell’s popularization of the 10,000-hour rule has been both blessing and curse for understanding expertise development. While recent research has shown that deliberate practice accounts for only 18-26% of skill variation—meaning other factors like timing, genetics, and learning environment matter significantly—the core insight remains valid: mastery requires sustained, focused engagement over years, not months.

But the pharmaceutical quality context adds layers of complexity that make the expertise timeline even more demanding. Unlike chess players or musicians who can practice their craft continuously, quality professionals must develop expertise within regulatory frameworks that change, across technologies that evolve, and through organizational transitions that reset context. The “hours” of meaningful practice are often interrupted by compliance activities, reorganizations, and role changes that fragment the learning experience.

More importantly, quality expertise isn’t just about individual skill development—it’s about understanding systems. Deming’s System of Profound Knowledge emphasizes that effective quality management requires appreciation for a system, knowledge about variation, theory of knowledge, and psychology. This multidimensional expertise cannot be compressed into abbreviated timelines, regardless of individual capability or organizational urgency.

The research on mastery learning provides additional insight. True mastery-based approaches require that students achieve deep understanding at each level before progressing to the next. In quality systems, this means that process owners must genuinely understand the current state of their processes—including their failure modes, sources of variation, and improvement potential—before they can effectively drive transformation.

The Hidden Complexity of Process Ownership

Many of our organizations struggle with “iceberg phenomenon”: the visible aspects of process ownership—procedure compliance, metric reporting, incident response—represent only a small fraction of the role’s true complexity and value.

Effective process owners develop several types of knowledge that accumulate over time:

  • Tacit Process Knowledge: Understanding the subtle indicators that precede process upsets, the informal workarounds that maintain operations, and the human factors that influence process performance. This knowledge emerges through repeated exposure to process variations and cannot be documented or transferred through training.
  • Systemic Understanding: Comprehending how their process interacts with upstream and downstream activities, how changes in one area create ripple effects throughout the system, and how to navigate the political and technical constraints that shape improvement opportunities. This requires exposure to multiple improvement cycles and organizational changes.
  • Regulatory Intelligence: Developing nuanced understanding of how regulatory expectations apply to their specific context, how to interpret evolving guidance, and how to balance compliance requirements with operational realities. This expertise emerges through regulatory interactions, inspection experiences, and industry evolution.
  • Change Leadership Capability: Building the credibility, relationships, and communication skills necessary to drive improvement in complex organizational environments. This requires sustained engagement with stakeholders, demonstrated success in previous initiatives, and deep understanding of organizational dynamics.

Each of these knowledge domains requires years to develop, and they interact synergistically. The process owner who has lived through equipment upgrades, regulatory inspections, organizational changes, and improvement initiatives develops a form of professional judgment that cannot be replicated through rotation or abbreviated assignments.

The Deming Connection: Systems Thinking Requires Time

Deming’s philosophy of continuous improvement provides a crucial framework for understanding why process ownership requires sustained engagement. His approach to quality was holistic, emphasizing systems thinking and long-term perspective over quick fixes and individual blame.

Consider Deming’s first point: “Create constancy of purpose toward improvement of product and service.” This isn’t about maintaining consistency in procedures—it’s about developing the deep understanding necessary to identify genuine improvement opportunities rather than cosmetic changes that satisfy short-term pressures.

The PDCA cycle that underlies Deming’s approach explicitly requires iterative learning over multiple cycles. Each cycle builds on previous learning, and the most valuable insights often emerge after several iterations when patterns become visible and root causes become clear. Process owners who remain with their systems long enough to complete multiple cycles develop qualitatively different understanding than those who implement single improvements and move on.

Deming’s emphasis on driving out fear also connects to the tenure question. Organizations that constantly rotate process owners signal that deep expertise isn’t valued, creating environments where people focus on short-term achievements rather than long-term system health. The psychological safety necessary for honest problem-solving and innovative improvement requires stable relationships built over time.

The Current Context: Why Stick-to-itness is Endangered

The pharmaceutical industry’s current talent management practices work against the development of deep process ownership. Organizations prioritize broad exposure over deep expertise, encourage frequent role changes to accelerate career progression, and reward visible achievements over sustained system stewardship.

This approach has several drivers, most of them understandable but ultimately counterproductive:

  • Career Development Myths: The belief that career progression requires constant role changes, preventing the development of deep expertise in any single area. This creates professionals with broad but shallow knowledge who lack the depth necessary to drive breakthrough improvement.
  • Organizational Impatience: Pressure to demonstrate rapid improvement, leading to premature conclusions about process owner effectiveness and frequent role changes before mastery can develop. This prevents organizations from realizing the compound benefits of sustained process ownership.
  • Risk Aversion: Concern that deep specialization creates single points of failure, leading to policies that distribute knowledge across multiple people rather than developing true expertise. This approach reduces organizational vulnerability to individual departures but eliminates the possibility of breakthrough improvement that requires deep understanding.
  • Measurement Misalignment: Performance management systems that reward visible activity over sustained stewardship, creating incentives for process owners to focus on quick wins rather than long-term system development.

The result is what I observe throughout the industry: sophisticated quality systems managed by well-intentioned professionals who lack the deep process knowledge necessary to drive genuine improvement. We have created environments where people are rewarded for managing systems they don’t truly understand, leading to the elaborate compliance theater that satisfies auditors but fails to protect patients.

Building Genuine Process Ownership Capability

Creating conditions for deep process ownership requires intentional organizational design that supports sustained engagement rather than constant rotation. This isn’t about keeping people in the same roles indefinitely—it’s about creating career paths that value depth alongside breadth and recognize the compound benefits of sustained expertise development.

Redefining Career Success: Organizations must develop career models that reward deep expertise alongside traditional progression. This means creating senior individual contributor roles, recognizing process mastery in compensation and advancement decisions, and celebrating sustained system stewardship as a form of leadership.

Supporting Long-term Engagement: Process owners need organizational support to sustain motivation through the inevitable plateaus and frustrations of deep system work. This includes providing resources for continuous learning, connecting them with external expertise, and ensuring their contributions are visible to senior leadership.

Creating Learning Infrastructure: Deep process ownership requires systematic approaches to knowledge capture, reflection, and improvement. Organizations must provide time and tools for process owners to document insights, conduct retrospective analyses, and share learning across the organization.

Building Technical Career Paths: The industry needs career models that allow technical professionals to advance without moving into management roles that distance them from process ownership. This requires creating parallel advancement tracks, appropriate compensation structures, and recognition systems that value technical leadership.

Measuring Long-term Value: Performance management systems must evolve to recognize the compound benefits of sustained process ownership. This means developing metrics that capture system stability, improvement consistency, and knowledge development rather than focusing exclusively on short-term achievements.

The Connection to Jobs-to-Be-Done

The Jobs-to-Be-Done tool I explored iprovides valuable insight into why process ownership requires sustained engagement. Organizations don’t hire process owners to execute procedures—they hire them to accomplish several complex jobs that require deep system understanding:

Knowledge Development: Building comprehensive understanding of process behavior, failure modes, and improvement opportunities that enables predictive rather than reactive management.

System Stewardship: Maintaining process health through minor adjustments, preventive actions, and continuous optimization that prevents major failures and enables consistent performance.

Change Leadership: Driving improvements that require deep technical understanding, stakeholder engagement, and change management capabilities developed through sustained experience.

Organizational Memory: Serving as repositories of process history, lessons learned, and contextual knowledge that prevents the repetition of past mistakes and enables informed decision-making.

Each of these jobs requires sustained engagement to accomplish effectively. The process owner who moves to a new role after 18 months may have learned the procedures, but they haven’t developed the deep understanding necessary to excel at these higher-order responsibilities.

The Path Forward: Embracing the Long View

We need to fundamentally rethink how we develop and deploy process ownership capability in pharmaceutical quality systems. This means acknowledging that true expertise takes time, creating organizational conditions that support sustained engagement, and recognizing the compound benefits of deep process knowledge.

The choice is clear: continue cycling process owners through abbreviated assignments that prevent the development of genuine expertise, or build career models and organizational practices that enable deep process ownership to flourish. In an industry where process failures can result in patient harm, product recalls, and regulatory action, only the latter approach offers genuine protection.

True process ownership isn’t something we implement because best practices require it. It’s a capability we actively cultivate because it makes us demonstrably better at protecting patients and ensuring product quality. When we design organizational systems around the jobs that deep process ownership accomplishes—knowledge development, system stewardship, change leadership, and organizational memory—we create competitive advantages that extend far beyond compliance.

Organizations that recognize the value of sustained process ownership and create conditions for its development will build capabilities that enable breakthrough improvement and genuine competitive advantage. Those that continue to treat process ownership as a rotational assignment will remain trapped in the cycle of elaborate compliance theater that satisfies auditors but fails to serve the fundamental purpose of pharmaceutical manufacturing.

Process ownership should not be something we implement because organizational charts require it. It should be a capability we actively develop because it makes us demonstrably better at the work that matters: protecting patients, ensuring product quality, and advancing the science of pharmaceutical manufacturing. When we embrace the deep ownership paradox—that mastery requires time, patience, and sustained engagement—we create the conditions for the kind of breakthrough improvement that our industry desperately needs.

In quality systems, as in life, the most valuable capabilities cannot be rushed, shortcuts cannot be taken, and true expertise emerges only through sustained engagement with the work that matters. This isn’t just good advice for individual career development—it’s the foundation for building pharmaceutical quality systems that genuinely serve patients and advance human health.

Further Reading

Kausar, F., Ijaz, M. U., Rasheed, M., Suhail, A., & Islam, U. (2025). Empowered, accountable, and committed? Applying self-determination theory to examine work-place procrastination. BMC Psychology, 13, 620. https://doi.org/10.1186/s40359-025-02968-7

Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC12144702/

Kim, A. J., & Chung, M.-H. (2023). Psychological ownership and ambivalent employee behaviors: A moderated mediation model. SAGE Open, 13(1). https://doi.org/10.1177/21582440231162535

Available at: https://journals.sagepub.com/doi/full/10.1177/21582440231162535

Wright, T. A., & Bonett, D. G. (2002). The moderating effects of employee tenure on the relation between organizational commitment and job performance: A meta-analysis. Journal of Applied Psychology, 87(6), 1183-1190. https://doi.org/10.1037/0021-9010.87.6.1183

Available at: https://pubmed.ncbi.nlm.nih.gov/12558224/

Beyond Malfunction Mindset: Normal Work, Adaptive Quality, and the Future of Pharmaceutical Problem-Solving

Beyond the Shadow of Failure

Problem-solving is too often shaped by the assumption that the system is perfectly understood and fully specified. If something goes wrong—a deviation, a batch out-of-spec, or a contamination event—our approach is to dissect what “failed” and fix that flaw, believing this will restore order. This way of thinking, which I call the malfunction mindset, is as ingrained as it is incomplete. It assumes that successful outcomes are the default, that work always happens as written in SOPs, and that only failure deserves our scrutiny.

But here’s the paradox: most of the time, our highly complex manufacturing environments actually succeed—often under imperfect, shifting, and not fully understood conditions. If we only study what failed, and never question how our systems achieve their many daily successes, we miss the real nature of pharmaceutical quality: it is not the absence of failure, but the presence of robust, adaptive work. Taking this broader, more nuanced perspective is not just an academic exercise—it’s essential for building resilient operations that truly protect patients, products, and our organizations.

Drawing from my thinking through zemblanity (the predictable but often overlooked negative outcomes of well-intentioned quality fixes), the effectiveness paradox (why “nothing bad happened” isn’t proof your quality system works), and the persistent gap between work-as-imagined and work-as-done, this post explores why the malfunction mindset persists, how it distorts investigations, and what future-ready quality management should look like.

The Allure—and Limits—of the Failure Model

Why do we reflexively look for broken parts and single points of failure? It is, as Sidney Dekker has argued, both comforting and defensible. When something goes wrong, you can always point to a failed sensor, a missed checklist, or an operator error. This approach—introducing another level of documentation, another check, another layer of review—offers a sense of closure and regulatory safety. After all, as long as you can demonstrate that you “fixed” something tangible, you’ve fulfilled investigational due diligence.

Yet this fails to account for how quality is actually produced—or lost—in the real world. The malfunction model treats systems like complicated machines: fix the broken gear, oil the creaky hinge, and the machine runs smoothly again. But, as Dekker reminds us in Drift Into Failure, such linear thinking ignores the drift, adaptation, and emergent complexity that characterize real manufacturing environments. The truth is, in complex adaptive systems like pharmaceutical manufacturing, it often takes more than one “error” for failure to manifest. The system absorbs small deviations continuously, adapting and flexing until, sometimes, a boundary is crossed and a problem surfaces.

W. Edwards Deming’s wisdom rings truer than ever: “Most problems result from the system itself, not from individual faults.” A sustainable approach to quality is one that designs for success—and that means understanding the system-wide properties enabling robust performance, not just eliminating isolated malfunctions.

Procedural Fundamentalism: The Work-as-Imagined Trap

One of the least examined, yet most impactful, contributors to the malfunction mindset is procedural fundamentalism—the belief that the written procedure is both a complete specification and an accurate description of work. This feels rigorous and provides compliance comfort, but it is a profound misreading of how work actually happens in pharmaceutical manufacturing.

Work-as-imagined, as elucidated by Erik Hollnagel and others, represents an abstraction: it is how distant architects of SOPs visualize the “correct” execution of a process. Yet, real-world conditions—resource shortages, unexpected interruptions, mismatched raw materials, shifting priorities—force adaptation. Operators, supervisors, and Quality professionals do not simply “follow the recipe”: they interpret, improvise, and—crucially—adjust on the fly.

When we treat procedures as authoritative descriptions of reality, we create the proxy problem: our investigations compare real operations against an imagined baseline that never fully existed. Deviations become automatically framed as problem points, and success is redefined as rigid adherence, regardless of context or outcome.

Complexity, Performance Variability, and Real Success

So, how do pharmaceutical operations succeed so reliably despite the ever-present complexity and variability of daily work?

The answer lies in embracing performance variability as a feature of robust systems, not a flaw. In high-reliability environments—from aviation to medicine to pharmaceutical manufacturing—success is routinely achieved not by demanding strict compliance, but by cultivating adaptive capacity.

Consider environmental monitoring in a sterile suite: The procedure may specify precise times and locations, but a seasoned operator, noticing shifts in people flow or equipment usage, might proactively sample a high-risk area more frequently. This adaptation—not captured in work-as-imagined—actually strengthens data integrity. Yet, traditional metrics would treat this as a procedural deviation.

This is the paradox of the malfunction mindset: in seeking to eliminate all performance variability, we risk undermining precisely those adaptive behaviors that produce reliable quality under uncertainty.

Why the Malfunction Mindset Persists: Cognitive Comfort and Regulatory Reinforcement

Why do organizations continue to privilege the malfunction mindset, even as evidence accumulates of its limits? The answer is both psychological and cultural.

Component breakdown thinking is psychologically satisfying—it offers a clear problem, a specific cause, and a direct fix. For regulatory agencies, it is easy to measure and audit: did the deviation investigation determine the root cause, did the CAPA address it, does the documentation support this narrative? Anything that doesn’t fit this model is hard to defend in audits or inspections.

Yet this approach offers, at best, a partial diagnosis and, at worst, the illusion of control. It encourages organizations to catalog deviations while blindly accepting a much broader universe of unexamined daily adaptations that actually determine system robustness.

Complexity Science and the Art of Organizational Success

To move toward a more accurate—and ultimately more effective—model of quality, pharmaceutical leaders must integrate the insights of complexity science. Drawing from the work of Stuart Kauffman and others at the Santa Fe Institute, we understand that the highest-performing systems operate not at the edge of rigid order, but at the “edge of chaos,” where structure is balanced with adaptability.

In these systems, success and failure both arise from emergent properties—the patterns of interaction between people, procedures, equipment, and environment. The most meaningful interventions, therefore, address how the parts interact, not just how each part functions in isolation.

This explains why traditional root cause analysis, focused on the parts, often fails to produce lasting improvements; it cannot account for outcomes that emerge only from the collective dynamics of the system as a whole.

Investigating for Learning: The Take-the-Best Heuristic

A key innovation needed in pharmaceutical investigations is a shift to what Hollnagel calls Safety-II thinking: focusing on how things go right as well as why they occasionally go wrong.

Here, the take-the-best heuristic becomes crucial. Instead of compiling lists of all deviations, ask: Among all contributing factors, which one, if addressed, would have the most powerful positive impact on future outcomes, while preserving adaptive capacity? This approach ensures investigations generate actionable, meaningful learning, rather than feeding the endless paper chase of “compliance theater.”

Building Systems That Support Adaptive Capability

Taking complexity and adaptive performance seriously requires practical changes to how we design procedures, train, oversee, and measure quality.

  • Procedure Design: Make explicit the distinction between objectives and methods. Procedures should articulate clear quality goals, specify necessary constraints, but deliberately enable workers to choose methods within those boundaries when faced with new conditions.
  • Training: Move beyond procedural compliance. Develop adaptive expertise in your staff, so they can interpret and adjust sensibly—understanding not just “what” to do, but “why” it matters in the bigger system.
  • Oversight and Monitoring: Audit for adaptive capacity. Don’t just track “compliance” but also whether workers have the resources and knowledge to adapt safely and intelligently. Positive performance variability (smart adaptations) should be recognized and studied.
  • Quality System Design: Build systematic learning from both success and failure. Examine ordinary operations to discern how adaptive mechanisms work, and protect these capabilities rather than squashing them in the name of “control.”

Leadership and Systems Thinking

Realizing this vision depends on a transformation in leadership mindset—from one seeking control to one enabling adaptive capacity. Deming’s profound knowledge and the principles of complexity leadership remind us that what matters is not enforcing ever-stricter compliance, but cultivating an organizational context where smart adaptation and genuine learning become standard.

Leadership must:

  • Distinguish between complicated and complex: Apply detailed procedures to the former (e.g., calibration), but support flexible, principles-based management for the latter.
  • Tolerate appropriate uncertainty: Not every problem has a clear, single answer. Creating psychological safety is essential for learning and adaptation during ambiguity.
  • Develop learning organizations: Invest in deep understanding of operations, foster regular study of work-as-done, and celebrate insights from both expected and unexpected sources.

Practical Strategies for Implementation

Turning these insights into institutional practice involves a systematic, research-inspired approach:

  • Start procedure development with observation of real work before specifying methods. Small scale and mock exercises are critical.
  • Employ cognitive apprenticeship models in training, so that experience, reasoning under uncertainty, and systems thinking become core competencies.
  • Begin investigations with appreciative inquiry—map out how the system usually works, not just how it trips up.
  • Measure leading indicators (capacity, information flow, adaptability) not just lagging ones (failures, deviations).
  • Create closed feedback loops for corrective actions—insisting every intervention be evaluated for impact on both compliance and adaptive capacity.

Scientific Quality Management and Adaptive Systems: No Contradiction

The tension between rigorous scientific quality management (QbD, process validation, risk management frameworks) and support for adaptation is a false dilemma. Indeed, genuine scientific quality management starts with humility: the recognition that our understanding of complex systems is always partial, our controls imperfect, and our frameworks provisional.

A falsifiable quality framework embeds learning and adaptation at its core—treating deviations as opportunities to test and refine models, rather than simply checkboxes to complete.

The best organizations are not those that experience the fewest deviations, but those that learn fastest from both expected and unexpected events, and apply this knowledge to strengthen both system structure and adaptive capacity.

Embracing Normal Work: Closing the Gap

Normal pharmaceutical manufacturing is not the story of perfect procedural compliance; it’s the story of people, working together to achieve quality goals under diverse, unpredictable, and evolving conditions. This is both more challenging—and more rewarding—than any plan prescribed solely by SOPs.

To truly move the needle on pharmaceutical quality, organizations must:

  • Embrace performance variability as evidence of adaptive capacity, not just risk.
  • Investigate for learning, not blame; study success, not just failure.
  • Design systems to support both structure and flexible adaptation—never sacrificing one entirely for the other.
  • Cultivate leadership that values humility, systems thinking, and experimental learning, creating a culture comfortable with complexity.

This approach will not be easy. It means questioning decades of compliance custom, organizational habit, and intellectual ease. But the payoff is immense: more resilient operations, fewer catastrophic surprises, and, above all, improved safety and efficacy for the patients who depend on our products.

The challenge—and the opportunity—facing pharmaceutical quality management is to evolve beyond compliance theater and malfunction thinking into a new era of resilience and organizational learning. Success lies not in the illusory comfort of perfectly executed procedures, but in the everyday adaptations, intelligent improvisation, and system-level capabilities that make those successes possible.

The call to action is clear: Investigate not just to explain what failed, but to understand how, and why, things so often go right. Protect, nurture, and enhance the adaptive capacities of your organization. In doing so, pharmaceutical quality can finally become more than an after-the-fact audit; it will become the creative, resilient capability that patients, regulators, and organizations genuinely want to hire.