The science of human performance, applied.

The Dissolved Dichotomy

For decades, business schools and bestselling authors have drawn a sharp line between leadership and management. Leaders, the argument goes, inspire vision and drive transformation; managers handle logistics, process, and day-to-day operations. The distinction gained momentum after Abraham Zaleznik published an influential opinion piece in the Harvard Business Review in 1977 arguing that leaders and managers represent fundamentally different types of people (Azad et al., 2017). A generation of researchers built careers on the comparison (Alvesson & Sveningsson, 2003; Kotter, 1990; Maccoby, 2000).

Yet a parallel line of inquiry has long questioned the dichotomy. Nguyen and Hansen (2016) argued that leadership and management are one and the same rather than a dichotomy requiring differentiation. Hersey and Blanchard (1972), in their situational leadership model, explicitly bridged the two roles by arguing that effective guidance requires matching the approach to the will and skill of the subordinate. A good leader, in their formulation, is also a good manager of performance, and vice versa.

This integrated view aligns with the foundational argument of Thomas Gilbert (2007), whose work on Human Performance Improvement places the manager-leader squarely at the center of organizational performance. Gilbert argued that organizational performance is ultimately a function of management — that managers and leaders are jointly responsible for the conditions under which employees succeed or fail. From this vantage point, the distinction between leading and managing dissolves: both roles require the same fundamental behaviors, calibrated to the people being led (Sin, Nahrgang, & Morgeson, 2009; Graen, 1978).

Throughout this book, the terms leader, manager, and supervisor are used interchangeably. This is not linguistic convenience but a theoretical commitment: the behaviors that drive employee satisfaction, engagement, and retention belong equally to anyone in a position of authority over others.

The Outcomes-Over-Process Principle

If leadership and management are a single practice, what defines that practice? Gilbert’s (2007) answer, expressed in his first leisurely theorem, is that worthy performance is a function of valuable accomplishments produced relative to the cost of the behaviors required to produce them. In simpler terms: performance is about outcomes, not behaviors. A manager whose team is in constant motion but produces little of value is not performing; a manager whose team produces extraordinary results with relatively little visible activity is.

This distinction matters because most organizations evaluate managers — and, by extension, the employees who report to them — primarily on the basis of behaviors and processes. Did the report get filed on time? Was the meeting attended? Was the procedure followed? These are easier to measure than accomplishments, and over time they tend to displace accomplishments as the actual focus of evaluation (Van Tiem et al., 2012).

The consequence is what Gilbert called the procedure trap: organizations whose procedures have become disconnected from the outcomes they were designed to produce. Procedures persist; the outcomes they once served become harder to identify. Eventually, the procedures become the work, and the work becomes about the procedures.

A Practical Illustration: The Loan Processing Team

Consider a mortgage loan processing department at a regional bank. The team of twelve processes applications submitted by loan officers. For years, the department manager tracked the number of applications processed per processor per day — a behavioral metric. Monthly reports showed consistent numbers: each processor averaged eighteen applications daily. On paper, the team appeared productive.

A new manager, applying Gilbert’s worthy performance lens, asked a different question: what is this department actually supposed to produce? The answer was not processed applications but funded loans — specifically, accurate, compliant, error-free loans that closed on time. When the manager examined that outcome metric, the picture changed entirely. Of the applications marked ’processed,’ fourteen percent contained errors that required rework by underwriting, adding an average of four days to each loan cycle. The team was processing eighteen applications daily but producing perhaps twelve worthy outcomes — and the gap between those two numbers represented the PIP (Potential for Improving Performance) that the behavioral metric was completely obscuring.

The manager did not increase headcount or change the workflow. She changed the measurement. Daily targets shifted from applications processed to clean-file rate — the percentage of applications moving through underwriting without a rework request. Within ninety days, the clean-file rate improved from 86% to 94%, loan cycle time dropped by three days on average, and the team processed fewer applications per day while producing more funded loans per month. The behavior changed because the measurement changed. The measurement changed because the manager asked what was actually being accomplished, not what was being done (Gilbert, 2007; Van Tiem et al., 2012).

The Relational Dimension

If HPI places management at the center of performance, Leader-Member Exchange (LMX) theory explains the mechanism through which management exerts its influence: the quality of the relationship between a leader and each individual employee. Developed by George Graen and colleagues beginning in the 1970s (Graen & Schiemann, 1978), LMX theory challenged the assumption that leaders behave consistently with all of their followers. In reality, Graen observed, leaders develop differentiated relationships with each subordinate, and those relational differences shape virtually every important employee outcome (Graen & Uhl-Bien, 1995).

The convergence of HPI and LMX is the central analytical claim of this book: managers shape performance primarily through the relationships they build with each member of their team. Those relationships are the channel through which Gilbert’s environmental factors — information, instrumentation, and motivation — actually flow. A high-quality LMX relationship is not a soft factor; it is the operational mechanism through which the HPI framework gets implemented (Sobral & Furtado, 2024).

The loan processing manager’s outcome-measurement intervention succeeded in part because she had built the kind of relationships with her team that made the change land well. When she introduced the new clean-file metric, her team did not experience it as surveillance or criticism; they experienced it as a manager investing in helping them understand what their work was actually for. That reception — the difference between a performance change that produces engagement and one that produces resentment — is a function of LMX quality. The chapters that follow explain why.

Contemporary practice in most contexts combines elements of instructional design and human performance technology, particularly when working in cross-functional teams seeking to improve organizational performance.

— Foshay, Villachica, & Stepich (2014)

A Working Definition

Ask ten people what an instructional designer does and you will get ten answers, most of them about software. The honest answer is both simpler and harder. Drawing on the foundational texts of the field, a synthesized definition is this: instructional design is a systematic process for creating learning experiences that cognitively engage the learner in a way that produces a measurable change in performance or behavior (Dick & Carey, 2005; Smith & Ragan, 2005). Each phrase in that sentence is load-bearing. Systematic means we follow a process rather than relying on inspiration. Cognitively engage means we are designing for what happens inside the learner’s head, not merely what appears on a screen. And measurable change in performance means we are accountable to an outcome beyond the classroom door.

That last clause is where many designers, and many training departments, quietly give up. They define their job as the production of courses and measure their success by the number of courses produced. The OPWL tradition treats that as a category error. The course is a means. The performance is the end. A designer who keeps that distinction sharp will make better decisions at every phase of a project.

Cousins, Not Twins: Instructional Design and Human Performance Technology

The field you are entering has two closely related parents. Instructional design (ID) grew out of the systematic development of instruction, with deep roots in behavioral and cognitive psychology. Human performance technology (HPT), sometimes called human performance improvement (HPI), grew out of the recognition that instruction is only one of many things that determine whether people perform well at work. Foshay, Villachica, and Stepich (2014), writing from within the OPWL program, describe the two fields as “cousins but not twins”: they “stem from a common origin in systems thinking and behavioral psychology, but today the two fields employ different research bases, system foci, and methods” (p. 36).

Why does this distinction matter to you, the practitioner? Because it changes the first question you ask. A pure ID framing asks, “What should this course teach?” An HPT framing asks, “What is keeping people from performing, and is a lack of skill or knowledge actually one of the causes?” Thomas Gilbert (1978/2007), whose Behavior Engineering Model remains the most useful single diagnostic in the field, argued that most performance problems trace not to deficits inside the person but to deficits in their environment — missing information, inadequate tools, absent incentives. When you internalize that, you stop reflexively reaching for training as the answer to every request.

The Book’s Organizing Lens: Gilbert’s Behavior Engineering Model

If this book has a single organizing idea, it is the one Thomas Gilbert gave the field in Human Competence: Engineering Worthy Performance (1978/2007). Gilbert was after a concept he called worthy performance — performance whose value to the organization exceeds its cost — and he argued that the surest route to it is almost never to start by fixing the person. His Behavior Engineering Model (BEM) is a simple six-cell grid that forces you to look at the whole system surrounding a performer before you conclude that they need training. We introduce it here, in the first chapter, because it is not merely an analysis tool to be used once and shelved; it is the lens through which this book reads every phase of the ADDIE lifecycle.

The BEM divides the causes of performance into two rows and three columns. The top row is the environment — the supports an organization owes the performer. The bottom row is the individual’s repertory — what the performer personally brings to the work. The three columns cut across both: information (do they know what is expected and how they are doing?), instruments (do they have the tools, resources, and procedures?), and incentives/motives (are there consequences and reasons to perform?). Read the grid cell by cell and you have a complete diagnostic for almost any performance problem.

Gilbert’s most consequential finding — confirmed again and again in practice — is that the environment row typically accounts for far more of a performance gap than the individual row, and that environmental fixes are usually faster and cheaper than training. Yet training addresses only a single cell of the six: environment-information and instruments, individual capacity and motives all sit outside what any course can touch, and even individual knowledge-and-skill is only one box. A designer who reaches for instruction without scanning the other five cells is, in Gilbert’s terms, treating one symptom and ignoring the system. This is the discipline the BEM enforces, and it is why a performance orientation — not a training orientation — runs through every chapter that follows.

The Instructional Designer in the Organization

In a workplace setting, the instructional designer rarely works alone and never works without stakeholders. A realistic job description — and this is close to the one I have worked under — reads something like this: the instructional designer completes all phases of the ADDIE process while partnering with the client; conducts analysis of needs based on client requests to ensure requirements are understood and translated into the deliverable; partners closely with business owners and subject matter experts (SMEs); secures design and development approval; coordinates the logistics of implementation; and ensures that solutions are evaluated to determine their effectiveness.

Read that description again and notice how little of it is about authoring software. The competencies that distinguish a strong designer are analytical and relational: the ability to interrogate a request, to interview an expert without being captured by their expertise, to negotiate scope with a client, and to hold the line on evaluation when everyone else has moved on to the next project. The International Board of Standards for Training, Performance and Instruction (ibstpi) codifies these in its Instructional Design Competencies, organized into five domains — professional foundations, planning and analysis, design and development, evaluation and implementation, and management (Koszalka, Russ-Eft, & Reiser, 2013). The Association for Talent Development’s Talent Development Capability Model, built from research with more than 3,000 practitioners, similarly spreads the designer’s capabilities across personal, professional, and organizational domains rather than confining them to course production (ATD, 2020).

How This Book Is Organized

The remainder of the book follows the ADDIE lifecycle, one phase per major chapter, bracketed by this orientation and a closing chapter on growing as a practitioner. Each phase chapter is built on the same scaffold so you always know where to find what you need:

- Why the phase exists — the decision the phase is supposed to inform, and the cost of skipping it.

- The core models and theory — traced to their originators, with only as much theory as the work requires.

- A worked example — a real or realistic project shown moving through the phase.

- Templates — reusable forms you can copy into your own practice.

- Common pitfalls — the mistakes I have made so that you do not have to.

- Returning to the BEM — a short recurring thread in each phase chapter showing how Gilbert’s grid reframes the work of that phase.

Before we begin Analyze, the next chapter gives you the map: ADDIE itself, where it came from, what it gets right, where it gets rigid, and how the iterative models now common in practice — including OPWL’s own Learning and Performance Support (LeaPS) model and Allen’s Successive Approximation Model (SAM) — relate to it.

How to Use This Workbook

This workbook is designed to be used alongside The Relationship Factor. Each section corresponds to a chapter in the book and contains discussion questions and reflection exercises designed to help you apply the frameworks to your actual leadership context.

The questions are organized in three types. Reflection questions ask you to examine your own experience, behavior, and assumptions. Application questions ask you to apply the book's frameworks — Leader-Member Exchange (LMX) theory, Human Performance Improvement (HPI), and Generational Cohort Theory (GCT) — to your current team and organization. Action questions ask you to identify specific behavioral changes you intend to make.

You can work through this workbook individually as a leadership journal, in small group discussion with peers or a team, in a formal coaching or development program, or as a management team working through the frameworks together.

There are no correct answers. The value is in the specificity: the more concrete and honest you are in your responses, the more useful the workbook becomes.

Preface: Your Research Starting Point

The preface establishes the book's origin in 20+ years of research beginning at Boise State University, and its grounding in an approved doctoral research plan examining managerial behavior, job satisfaction, and Millennial retention.

Reflection Questions

1. How did you come to your current leadership role? What formative experiences — educational, professional, personal — most shaped how you think about leading others?

2. The author's research focused on one central question: why do good employees leave? Before reading further, write your answer to that question as you understand it today. You will return to this at the end of the workbook.

3. What is one belief about management or leadership that you hold strongly — and that you are open to having challenged by what you read?

PART ONE — FOUNDATIONS

Chapter 1: Leadership and Management as a Single Practice

Chapter 1 argues that the distinction between 'leader' and 'manager' is a false dichotomy that obscures rather than clarifies. Both roles require the same fundamental behaviors, calibrated to the people being led. Performance is defined by accomplishments, not behaviors.

Reflection

1. Think of the best person who has ever supervised you. Without labeling them a 'leader' or 'manager,' describe in behavioral terms what they actually did that made them effective.

2. In your current role, what percentage of your attention is on behaviors and processes versus outcomes and accomplishments? What would it look like to shift that ratio by 20%?

Application: The Procedure Audit

List three recurring procedures or requirements in your team's work. For each one, write the original outcome it was designed to produce, then honestly assess whether it still produces that outcome.

Procedure 1:

Procedure 2:

Procedure 3:

Action

3. Based on your procedure audit: which procedure has become most disconnected from its intended outcome? What would you do to reconnect it — or retire it?

Chapter 2: Human Performance Improvement — The Foundational Science

Chapter 2 introduces Gilbert's Behavior Engineering Model (BEM), which organizes the root causes of performance gaps into six factors: three environmental (information, instrumentation, motivation) and three individual (knowledge, capacity, motives). Environmental factors are the manager's responsibility and account for the majority of performance variance.

Reflection

1. Think of a current performance problem on your team. Before reading the BEM, you might have attributed it to an employee deficiency. Using the BEM framework, analyze the same problem: which of the six factors might be contributing?

2. Of the three environmental factors you control — information clarity, tools and resources, and motivational incentives — which is least well-designed for your team right now? What specifically is missing or misaligned?

Application: BEM Team Diagnostic

Rate your current performance environment for each BEM environmental factor from 1 (weak) to 5 (strong). Then note the single most important improvement for each.

Information (Are expectations, feedback, and context clear?) Rating: ___/5

Most important improvement:

Instrumentation (Do employees have the right tools and resources?) Rating: ___/5

Most important improvement:

Motivation (Do incentives reinforce the right behaviors and outcomes?) Rating: ___/5

Most important improvement:

Action

3. Identify the single highest-leverage environmental improvement you could make in the next 30 days. What would you change, how would you change it, and how would you measure whether it improved performance?

Chapter 3: Leader-Member Exchange — The Relationship Continuum

Chapter 3 introduces LMX theory: leaders develop differentiated relationships of varying quality with each direct report. High-quality LMX relationships — characterized by affect, loyalty, contribution, and professional respect — drive job satisfaction, performance, and retention. LMX quality is the multiplier on every BEM environmental factor.

Reflection: LMX Inventory

For each of your direct reports, rate the quality of your relationship on each LMX dimension from 1 (low) to 5 (high). Be honest — these ratings are for your own development only.

Employee Name / Role | Affect | Loyalty | Contribution | Prof. Respect | Overall

________________________________ | ___ | ___ | ___ | ___ | ___

________________________________ | ___ | ___ | ___ | ___ | ___

________________________________ | ___ | ___ | ___ | ___ | ___

________________________________ | ___ | ___ | ___ | ___ | ___

________________________________ | ___ | ___ | ___ | ___ | ___

________________________________ | ___ | ___ | ___ | ___ | ___

Application

1. Which relationship shows the largest opportunity for improvement? What specific behavior from you would most directly elevate that relationship's quality?

2. LMX differentiation is inevitable — but it can be based on transparent, merit-related criteria or on personal affinity and unconscious bias. Which is more often true in your case? What evidence supports your answer?

Action

3. Identify one direct report you have been under-investing in relationally. Write down three specific interactions you will initiate in the next two weeks to begin improving that relationship.

PART TWO — THE GENERATIONAL LANDSCAPE

Chapter 4: Generational Cohort Theory

Chapter 4 introduces Generational Cohort Theory: shared formative experiences shape shared tendencies in how cohorts approach work, authority, loyalty, and motivation. GCT is a probabilistic framework — a starting point for understanding individuals, not a deterministic label.

Reflection

1. What are the two or three most formative historical or cultural events that shaped your own relationship with work, authority, and loyalty? How do they show up in how you manage today?

2. GCT argues that generational tendencies are real but probabilistic — individuals vary. Think of someone on your team who defies their generational pattern. What explains the divergence?

Application: Generational Mapping

3. List the generational makeup of your immediate team. Where do you have the most generational diversity? Where do you have gaps — either in representation or in your own knowledge of a cohort's tendencies?

4. How would you describe your organization's implicit assumption about what a 'good employee' looks like? Which generation's values does that assumption most closely reflect — and who does it disadvantage?

Chapter 5: Baby Boomers — The Judgment Generation

Boomers are motivated by recognition, status, and mastery. They value professional respect and consistent decision-making from managers. They are also carriers of deep institutional knowledge that is at risk of being lost.

Reflection & Application

1. If you have Boomer employees: how are you honoring their expertise publicly? If you are a Boomer: how are you actively transferring your institutional knowledge to colleagues who will outlast you in the organization?

2. What formal or informal mechanism do you have for capturing the tacit knowledge Boomer employees carry? If none, what would a simple, low-friction version look like?

3. A Boomer employee has declined a new initiative you believe is valuable. Using the LMX and HPI frameworks, diagnose what might be driving the resistance — and design a conversation to address it.

Chapter 6: Generation X — The Autonomous Skeptics

Gen X employees value competence, autonomy, and directness. They distrust institutional loyalty and respond poorly to micromanagement. They now occupy most middle management roles — and their management style often misfires with younger cohorts.

Reflection & Application

1. If you are a Gen X manager: which of your management behaviors were shaped by your own formative experience of self-reliance and institutional skepticism — and which of those behaviors may not serve your Millennial or Gen Z direct reports?

2. Gen X employees need clear outcomes and high autonomy. Describe one current assignment where you are over-specifying the process and under-specifying the outcome. How would you redesign it?

3. The chapter describes a 'Gen X management gap' — where Xers' preferred style clashes with younger cohorts' needs. Where do you see evidence of this gap in your organization? What would close it?

Chapter 7: Millennials — The Achievement-Oriented Generation

Millennials are the largest cohort in today's workforce. They are driven by recognition, growth, transparency, and meaningful work. They will leave quickly when those conditions are not present — and the cost is substantial.

Reflection & Application

1. Think of the last Millennial employee who left your team or organization voluntarily. With honest hindsight, what role — if any — did their relationship with their direct manager play in that decision?

2. Millennials want to understand why, not just what. Identify one decision you recently made for your team that you communicated without sufficient context. How would you communicate it differently?

3. Millennials value development as part of the employment deal — not an occasional benefit. Map out the development investment you are making in each of your Millennial direct reports right now. Is it sufficient? Is it visible to them?

Chapter 8: Generation Z — The Purpose-Driven Digital Natives

Gen Z employees are purpose-driven, digitally native, values-aligned, and the most likely to exit when expectations are unmet. They are also the most likely to call out ethical gaps — and to build AI fluency faster than any other cohort.

Reflection & Application

1. Gen Z reports that 50% have already declined employers or assignments due to value misalignment. What are your organization's stated values? How well do your day-to-day management behaviors reflect those values? Ask a Gen Z employee — their answer may surprise you.

2. Gen Z expects real-time digital communication from their managers. Honestly evaluate your digital communication style: how responsive, personalized, and authentic is it? What would you change?

3. Gen Z is the most purpose-driven and the most AI-fluent generation in the workforce. How are you leveraging both of those strengths? Are you currently using Gen Z employees as teachers — or only as learners?

PART THREE — WHERE THE THEORIES CONVERGE

Chapter 9: Integration — LMX, HPI, and the Generational Lens

Chapter 9 synthesizes the three frameworks into a unified model. LMX is the channel through which HPI environmental factors are delivered. GCT tells managers how to calibrate both for each generational cohort. The eleven managerial competencies identified by Jhun, Bae, and Rhee (2012) operationalize the model.

Integration Exercise

Choose one direct report you would like to develop a more intentional management approach for. Answer the following using all three frameworks.

Employee profile (generation, tenure, role):

Current LMX quality (affect / loyalty / contribution / respect):

Weakest BEM environmental factor for this employee:

Generational considerations that should shape your approach:

One concrete action you will take in the next 30 days:

Chapter 10: Turnover Through the Integrated Lens

Chapter 10 applies the integrated framework to the retention problem. When employees leave, they leave the manager — not the company. The managerial behaviors that most directly drive retention are those that simultaneously build LMX quality and deliver BEM environmental support.

Retention Audit

1. In the last two years, list every voluntary departure from your team or department that you can recall. For each one, what was the primary driver of their exit — and what managerial behavior (yours or their manager's) contributed to it?

2. Your organization almost certainly has retention programs and processes. List the top three. For each one, is it addressing a root cause (LMX quality, BEM environmental factors) or a symptom (exit interview data, satisfaction scores)? What would addressing the root cause look like?

3. Which generational cohort on your team is at the highest risk of departure in the next 12 months? What specific environmental or relational factors are driving that risk — and what would reduce it?

PART FOUR — PRACTICAL IMPLICATIONS

Chapter 11: The Generationally Intelligent Manager

Chapter 11 translates the integrated framework into five actionable principles: differentiate without discriminating, calibrate communication, customize development, align recognition, and hold the outcomes line.

Communication Calibration Exercise

For each direct report, answer: (a) How do they prefer to receive information — channel, frequency, level of detail? (b) When did I last ask them explicitly? (c) What would I change about how I currently communicate with them?

Recognition Mapping

1. List your three most recent acts of recognition — what you said or did, to whom, and in what format. Based on what you now know about generational recognition preferences, was each one well-calibrated? What would you do differently?

2. The outcomes-over-process principle applies to recognition too: the question is not whether you recognized someone, but whether the recognition actually produced the motivation it was designed to produce. Evaluate your recent recognition honestly on this standard.

Chapter 12: Organizational Recommendations

Chapter 12 argues that individual manager effectiveness is constrained by organizational systems. Flexible work architecture, generation-specific development infrastructure, and manager development programs that build generational intelligence are the structural changes organizations must make.

Organizational Assessment

1. On a scale of 1–5, how well does your organization's work architecture (schedule flexibility, remote options, autonomy over task management) accommodate the full range of generational preferences? What is the single most important structural change that would improve retention across all cohorts?

2. How does your organization currently develop managers? Does the program explicitly address generational differences, LMX quality-building, and HPI-informed performance management — or does it focus primarily on technical management skills? What is missing?

3. If you could change one organizational policy or practice tomorrow that would measurably improve multi-generational engagement and retention, what would it be? What is preventing that change?

Chapter 13: Building AI Capability for Human Performance

Chapter 13 frames AI capability as a performance improvement challenge, not a training initiative. Six core AI skills define workforce AI capability: conceptual understanding, prompt and task design, critical evaluation, integration with domain expertise, ethical and compliance awareness, and continuous adaptation.

AI Capability Self-Assessment

Rate yourself honestly on each of the six AI capability domains from 1 (emerging) to 5 (proficient).

Conceptual Understanding (know what AI can/cannot do) ___/5

Prompt and Task Design (structure work effectively for AI) ___/5

Critical Evaluation (recognize when AI output is wrong) ___/5

Integration with Domain Expertise (amplify what you know) ___/5

Ethical and Compliance Awareness (understand AI risks) ___/5

Continuous Adaptation (keep learning as tools evolve) ___/5

1. Based on your self-assessment, which domain represents your most important development priority? What specific action would you take in the next 30 days to begin closing that gap?

2. How does your organization currently support AI capability development? Apply the BEM: is the information environment (policy and guidance) clear? Is instrumentation (sanctioned tools) in place? Does the motivational environment reward effective AI use?

3. Gen Z employees are likely the most AI-fluent on your team. In what specific way could you use that fluency — treating them as teachers rather than learners? What would that look like in practice?

Conclusion: Closing the Loop

Return to Your Starting Point

In the Preface section of this workbook, you wrote your answer to: 'Why do good employees leave?' Return to what you wrote. How has your answer changed after working through the book and these exercises?

Commitments

Based on everything you have read and reflected on, complete these three commitments:

The single most important LMX quality improvement I will make:

The single most important BEM environmental change I will make:

The one generationally-specific management behavior I will change:

The relationship is not a soft factor. It is the strategy.