The Discretionary Deficit: Why Job Descriptions Fail to Capture the Real Work of Quality

Job descriptions are foundational documents in pharmaceutical quality systems. Regulations like 21 CFR 211.25 require that personnel have appropriate education, training, and experience to perform assigned functions. The job description serves as the starting point for determining training requirements, establishing accountability, and demonstrating regulatory compliance. Yet for all their regulatory necessity, most job descriptions fail to capture what actually makes someone effective in their role.

The problem isn’t that job descriptions are poorly written or inadequately detailed. The problem is more fundamental: they describe static snapshots of isolated positions while ignoring the dynamic, interconnected, and discretionary nature of real organizational work.

The Static Job Description Trap

Traditional job descriptions treat roles as if they exist in isolation. A quality manager’s job description might list responsibilities like “lead inspection readiness activities,” “participate in vendor management,” or “write and review deviations and CAPAs”. These statements aren’t wrong, but they’re profoundly incomplete.

Elliott Jacques, a late 20th century thinker on organizational theory, identified a critical distinction that most job descriptions ignore: the difference between prescribed elements and discretionary elements of work. Every role contains both, yet our documentation acknowledge only one.

Prescribed elements are the boundaries, constraints, and requirements that eliminate choice. They specify what must be done, what cannot be done, and the regulations, policies, and methods to which the role holder must conform. In pharmaceutical quality, prescribed elements are abundant and well-documented: follow GMPs, complete training before performing tasks, document decisions according to procedure, escalate deviations within defined timeframes.

Discretionary elements are everything else—the choices, judgments, and decisions that cannot be fully specified in advance. They represent the exercise of professional judgment within the prescribed limits. Discretion is where competence actually lives.

When we investigate a deviation, the prescribed elements are clear: follow the investigation procedure, document findings in the system, complete within regulatory timelines. But the discretionary elements determine whether the investigation succeeds: What questions should I ask? Which subject matter experts should I engage? How deeply should I probe this particular failure mode? What level of evidence is sufficient? When have I gathered enough data to draw conclusions?

As Jacques observed, “the core of industrial work is therefore not only to carry out the prescribed elements of the job, but also to exercise discretion in its execution”. Yet if job descriptions don’t recognize and define the limits of discretion, employees will either fail to exercise adequate discretion or wander beyond appropriate limits into territory that belongs to other roles.

The Interconnectedness Problem

Job descriptions also fail because they treat positions as independent entities rather than as nodes in an organizational network. In reality, all jobs in pharmaceutical organizations are interconnected. A mistake in manufacturing manifests as a quality investigation. A poorly written procedure creates training challenges. An inadequate risk assessment during tech transfer generates compliance findings during inspection.

This interconnectedness means that describing any role in isolation fundamentally misrepresents how work actually flows through the organization. When I write about process owners, I emphasize that they play a fundamental role in managing interfaces between key processes precisely to prevent horizontal silos. The process owner’s authority and accountability extend across functional boundaries because the work itself crosses those boundaries.

Yet traditional job descriptions remain trapped in functional silos. They specify reporting relationships vertically—who you report to, who reports to you—but rarely acknowledge the lateral dependencies that define how work actually gets done. They describe individual accountability without addressing mutual obligations.

The Missing Element: Mutual Role Expectations

Jacques argued that effective job descriptions must contain three elements:

The central purpose and rationale for the position
The prescribed and discretionary elements of the work
The mutual role expectations—what the focal role expects from other roles, and vice versa

That third element is almost entirely absent from job descriptions, yet it’s arguably the most critical for organizational effectiveness.

Consider a deviation investigation. The person leading the investigation needs certain things from other roles: timely access to manufacturing records from operations, technical expertise from subject matter experts, root cause methodology support from quality systems specialists, regulatory context from regulatory affairs. Conversely, those other roles have legitimate expectations of the quality professional: clear articulation of information needs, respect for operational constraints, transparency about investigation progress, appropriate use of their expertise.

These mutual expectations form the actual working contract that determines whether the organization functions effectively. When they remain implicit and undocumented, we get the dysfunction I see constantly: investigations that stall because operations claims they’re too busy to provide information, subject matter experts who feel blindsided by last-minute requests, quality professionals frustrated that other functions don’t understand the urgency of compliance timelines.

Decision-making frameworks like DACI and RAPID exist precisely to make these mutual expectations explicit. They clarify who drives decisions, who must be consulted, who has approval authority, and who needs to be informed. But these frameworks work at the decision level. We need the same clarity at the role level, embedded in how we define positions from the start.

Discretion and Hierarchy

The amount of discretion in a role—what Jacques called the “time span of discretion”—is actually a better measure of organizational level than traditional hierarchical markers like job titles or reporting relationships. A front-line operator works within tightly prescribed limits with short time horizons: follow this batch record, use these materials, execute these steps, escalate these deviations immediately. A site quality director operates with much broader discretion over longer time horizons: establish quality strategy, allocate resources across competing priorities, determine which regulatory risks to accept or mitigate, shape organizational culture over years.

This observation has profound implications for how we think about organizational design. As I’ve written before, the idea that “the higher the rank in the organization the more decision-making authority you have” is absurd. In every organization I’ve worked in, people hold positions of authority over areas where they lack the education, experience, and training to make competent decisions.

The solution isn’t to eliminate hierarchy—organizations need stratification by complexity and time horizon. The solution is to separate positional authority from decision authority and to explicitly define the discretionary scope of each role.

A manufacturing supervisor might have positional authority over operations staff but should not have decision authority over validation strategies—that’s outside their discretionary scope. A quality director might have positional authority over the quality function but should not unilaterally decide equipment qualification approaches that require deep engineering expertise. Clear boundaries around discretion prevent the territorial conflicts and competence gaps that plague organizations.

Implications for Training and Competency

The distinction between prescribed and discretionary elements has critical implications for how we develop competency. Most pharmaceutical training focuses almost exclusively on prescribed elements: here’s the procedure, here’s how to use the system, here’s what the regulation requires. We measure training effectiveness by knowledge checks that assess whether people remember the prescribed limits.

But competence isn’t about following procedures—it’s about exercising appropriate judgment within procedural constraints. It’s about knowing what to do when things depart from expectations, recognizing which risk assessment methodology fits a particular decision context, sensing when additional expertise needs to be consulted.

These discretionary capabilities develop differently than procedural knowledge. They require practice, feedback, coaching, and sustained engagement over time. A meta-analysis examining skill retention found that complex cognitive skills like risk assessment decay much faster than simple procedural skills. Without regular practice, the discretionary capabilities that define competence actively degrade.

This is why I emphasize frequency, duration, depth, and accuracy of practice as the real measures of competence. It’s why deep process ownership requires years of sustained engagement rather than weeks of onboarding. It’s why competency frameworks must integrate skills, knowledge, and behaviors in ways that acknowledge the discretionary nature of professional work.

Job descriptions that specify only prescribed elements provide no foundation for developing the discretionary capabilities that actually determine whether someone can perform the role effectively. They lead to training plans focused on knowledge transfer rather than judgment development, performance evaluations that measure compliance rather than contribution, and hiring decisions based on credentials rather than capacity.

Designing Better Job Descriptions

Quality leaders—especially those of us responsible for organizational design—need to fundamentally rethink how we define and document roles. Effective job descriptions should:

Articulate the central purpose. Why does this role exist? What job is the organization hiring this position to do? A deviation investigator exists to transform quality failures into organizational learning while demonstrating control to regulators. A validation engineer exists to establish documented evidence that systems consistently produce quality outcomes. Purpose provides the context for exercising discretion appropriately.
Specify prescribed boundaries explicitly. What are the non-negotiable constraints? Which policies, regulations, and procedures must be followed without exception? What decisions require escalation or approval? Clear prescribed limits create safety—they tell people where they can’t exercise judgment and where they must seek guidance.
Define discretionary scope clearly. Within the prescribed limits, what decisions is this role expected to make independently? What level of evidence is this role qualified to evaluate? What types of problems should this role resolve without escalation? How much resource commitment can this role authorize? Making discretion explicit transforms vague “good judgment” expectations into concrete accountability.
Document mutual role expectations. What does this role need from other roles to be successful? What do other roles have the right to expect from this position? How do the prescribed and discretionary elements of this role interface with adjacent roles in the process? Mapping these interdependencies makes the organizational system visible and manageable.
Connect to process roles explicitly. Rather than generic statements like “participate in CAPAs,” job descriptions should specify process roles: “Author and project manage CAPAs for quality system improvements” or “Provide technical review of manufacturing-related CAPAs”. Process roles define the specific prescribed and discretionary elements relevant to each procedure. They provide the foundation for role-based training curricula that address both procedural compliance and judgment development.

Beyond Job Descriptions: Organizational Design

The limitations of traditional job descriptions point to larger questions about organizational design. If we’re serious about building quality systems that work—that don’t just satisfy auditors but actually prevent failures and enable learning—we need to design organizations around how work flows rather than how authority is distributed.

This means establishing empowered process owners who have clear authority over end-to-end processes regardless of functional boundaries. It means implementing decision-making frameworks that explicitly assign decision roles based on competence rather than hierarchy. It means creating conditions for deep process ownership through sustained engagement rather than rotational assignments.

Most importantly, it means recognizing that competent performance requires both adherence to prescribed limits and skillful exercise of discretion. Training systems, performance management approaches, and career development pathways must address both dimensions. Job descriptions that acknowledge only one while ignoring the other set employees up for failure and organizations up for dysfunction.

The Path Forward

Jacques wrote that organizational structures should be “requisite”—required by the nature of work itself rather than imposed by arbitrary management preferences. There’s wisdom in that framing for pharmaceutical quality. Our organizational structures should emerge from the actual requirements of pharmaceutical work: the need for both compliance and innovation, the reality of interdependent processes, the requirement for expert judgment alongside procedural discipline.

Job descriptions are foundational documents in quality systems. They link to hiring decisions, training requirements, performance expectations, and regulatory demonstration of competence. Getting them right matters not just for audit preparedness but for organizational effectiveness.

The next time you review a job description, ask yourself: Does this document acknowledge both what must be done and what must be decided? Does it clarify where discretion is expected and where it’s prohibited? Does it make visible the interdependencies that determine whether this role can succeed? Does it provide a foundation for developing both procedural compliance and professional judgment?

If the answer is no, you’re not alone. Most job descriptions fail these tests. But recognizing the deficit is the first step toward designing organizational systems that actually match the complexity and interdependence of pharmaceutical work—systems where competence can develop, accountability is clear, and quality is built into how we organize rather than inspected into what we produce.

The work of pharmaceutical quality requires us to exercise discretion well within prescribed limits. Our organizational design documents should acknowledge that reality rather than pretend it away.

Example Job Description

Site Quality Risk Manager – Seattle and Redmond Sites

Reports To: Sr. Manager, Quality
Department: Qualty
Location: Hybrid/Field-Based – Certain Sites

Purpose of the Role

The Site Quality Risk Manager ensures that quality and manufacturing operations at the sites maintain proactive, compliant, and science-based risk management practices. The role exists to translate uncertainty into structured understanding—identifying, prioritizing, and mitigating risks to product quality, patient safety, and business continuity. Through expert application of Quality Risk Management (QRM) principles, this role builds a culture of curiosity, professional judgment, and continuous improvement in decision-making.

Prescribed Work Elements

Boundaries and required activities defined by regulations, procedures, and PQS expectations.

Ensure full alignment of the site Risk Program with the Corporate Pharmaceutical Quality System (PQS), ICH Q9(R1) principles, and applicable GMP regulations.
Facilitate and document formal quality risk assessments for manufacturing, laboratory, and facility operations.
Manage and maintain the site Risk Registers for sitefacilities.
Communicate high-priority risks, mitigation actions, and risk acceptance decisions to site and functional senior management.
Support Health Authority inspections and audits as QRM Subject Matter Expert (SME).
Lead deployment and sustainment of QRM process tools, templates, and governance structures within the corporate risk management framework.
Maintain and periodically review site-level guidance documents and procedures on risk management.

Discretionary Work Elements

Judgment and decision-making required within professional and policy boundaries.

Determine the appropriate depth and scope of risk assessments based on formality and system impact.
Evaluate the adequacy and proportionality of mitigations, balancing regulatory conservatism with operational feasibility.
Prioritize site risk topics requiring cross-functional escalation or systemic remediation.
Shape site-specific applications of global QRM tools (e.g., HACCP, FMEA, HAZOP, RRF) to reflect manufacturing complexity and lifecycle phase—from Phase 1 through PPQ and commercial readiness.
Determine which emerging risks require systemic visibility in the Corporate Risk Register and document rationale for inclusion or deferral.
Facilitate reflection-based learning after deviations, applying risk communication as a learning mechanism across functions.
Offer informed judgment in gray areas where quality principles must guide rather than prescribe decisions.

Mutual Role Expectations

From the Site Quality Risk Manager:

Partner transparently with Process Owners and Functional SMEs to identify, evaluate, and mitigate risks.
Translate technical findings into business-relevant risk statements for senior leadership.
Mentor and train site teams to develop risk literacy and discretionary competence—the ability to think, not just comply.
Maintain a systems perspective that integrates manufacturing, analytical, and quality operations within a unified risk framework.

From Other Roles Toward the Site Quality Risk Manager:

Provide timely, complete data for risk assessments.
Engage in collaborative dialogue rather than escalation-only interactions.
Respect QRM governance boundaries while contributing specialized technical judgment.
Support implementation of sustainable mitigations beyond short-term containment.

Qualifications and Experience

Bachelor’s degree in life sciences, engineering, or a related technical discipline. Equivalent experience accepted.
Minimum 4+ years relevant experience in Quality Risk Management within biopharmaceutical GMP manufacturing environments.
Demonstrated application of QRM methodologies (FMEA, HACCP, HAZOP, RRF) and facilitation of cross-functional risk assessments.
Strong understanding of ICH Q9(R1) and FDA/EMA risk management expectations.
Proven ability to make judgment-based decisions under regulatory and operational uncertainty.
Experience mentoring or building risk capabilities across technical teams.
Excellent communication, synthesis, and facilitation skills.

Purpose in Organizational Design Context

This role exemplifies a requisite position—where scope of discretion, not hierarchy, defines level of work. The Site Quality Risk Manager operates with a medium-span time horizon (6–18 months), balancing regulatory compliance with strategic foresight. Success is measured by the organization’s capacity to detect, understand, and manage risk at progressively earlier stages of product and process lifecycle—reducing reactivity and enabling resilience.

Competency Development and Training Focus

Prescribed competence: Deep mastery of PQS procedures, regulatory standards, and risk methodologies.
Discretionary competence: Situational judgment, cross-functional influence, systems thinking, and adaptive decision-making.
Training plans should integrate practice, feedback, and reflection mechanisms rather than static knowledge transfer, aligning with the competency framework principles.

This enriched job description demonstrates how clarity of purpose, articulation of prescribed vs. discretionary elements, and defined mutual expectations transform a standard compliance document into a true instrument of organizational design and leadership alignment.

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.

Foundations of Safety Science: A Century of Understanding Accidents and Disasters (2019) – A comprehensive historical analysis tracing the evolution of safety thinking from Heinrich to modern resilience engineering.
The Field Guide to Understanding Human Error (3rd Edition) – The definitive guide to moving beyond blame toward system-based understanding of error and learning.

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.

Managing the Risks of Organizational Accidents (1997) – The comprehensive framework for understanding how organizational factors create latent conditions for failure.
Human Error: Models and Management (2000) – Essential reading on the difference between person-centered and system-centered approaches to error.

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.

Normal Accidents: Living with High-Risk Technologies (1984) – The seminal work establishing that system accidents are inevitable in complex, tightly-coupled systems.
The Next Catastrophe: Reducing Our Vulnerabilities to Natural, Industrial, and Terrorist Disasters (2007) – Perrow’s analysis of how organizational and system factors amplify the impact of disasters.

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.

Resilience Engineering: Concepts and Precepts (2006) – Co-edited with David Woods and Nancy Leveson, the foundational text establishing resilience engineering as a discipline.
Safety-I and Safety-II: The Past and Future of Safety Management (2014) – The definitive explanation of the paradigm shift from failure prevention to success understanding.

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.

Joint Cognitive Systems: Foundations of Cognitive Systems Engineering (2005) – Co-authored with Erik Hollnagel, establishing the theoretical foundation for understanding human-machine collaboration.
Resilience Engineering: Concepts and Precepts (2006) – Co-edited foundational text that established resilience as a proactive safety paradigm.

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.

Engineering a Safer World: Systems Thinking Applied to Safety (2011) – The comprehensive guide to STAMP methodology and systems-theoretic approaches to safety.

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.

The Five Principles of Human Performance (2025) – Contemporary update of foundational HOP principles for modern safety practice.
Pre-Accident Investigations: An Introduction to Organizational Safety (2012) – Essential guide to proactive learning from near-misses and weak signals.

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.