The 30% Friction Tax on Every Business
The Problem:
In most organizations, 20–30% of the workweek quietly disappears into friction: correcting avoidable errors, chasing wrong targets, sifting through mounds of data, and redoing work. Study after study points to the same conclusion: a significant share of knowledge work is consumed by these inefficiencies (McKinsey Global Institute; IDC; Asana).
Leaders almost always misdiagnose the cause. They conclude their people need more training, more accountability, or tighter oversight. They layer on policies, meetings, and performance reviews.
The truth is this: what looks like a people problem is almost always a system problem.
The Answer: Efficient By Design
Efficient by Design gives leaders, managers, consultants, and management students a practical methodology for improving organizational performance by redesigning workflows and decision environments, to support how employees actually think and make decisions.
The book is not about motivation, culture, or personal productivity. It is about how to redesign work systems to eliminate errors and improve performance.
Readers will learn how to make the correct actions easier, clearer, visible, and near automatic.
Detective Mindset
Move from a manager mindset to a detective mindset. Instead of asking who is to blame, seek to understand what about the system made the error seem reasonable or even possible
Decision Diagnostic
A proprietary tool to diagnose any error at the point of decision and action. Learn the source of the breakdown and where to intervene.
Architect Mindset
Use six proven tools to update the system to work with how employees actually make decisions. You'll literally architect mistakes out of existence.
18 Case Studies and Dozens of Real-World Applications
Intro: The Detective Mindset
Intro: The Detective Mindset
Intro: The Detective Mindset
The introduction uses the author’s upbringing with a homicide detective father to introduce a “detective mindset”. This shift in thinking is one rooted in curiosity, patience, and a disciplined effort to understand why actions make sense in context. It then applies that mindset to organizations, arguing that recurring workplace errors are not primarily people problems, but clues pointing to deeper flaws in the systems and decision environments that shape behavior.
CH1: Behavioral Forces
Intro: The Detective Mindset
Intro: The Detective Mindset
Behavioral forces quietly distort judgment. The premise of the book is defined by core concepts loss aversion, reference dependence, and diminishing sensitivity. This blows away the 2500-year-old myth of rational decision-making. Through classic experiments and real business examples, the book shows how employees’ decisions are shaped by perceived gains, losses, and framing effects rather than by purely rational calculation.
CH2: Two System Thinking
Intro: The Detective Mindset
CH2: Two System Thinking
Using foundational behavioral science demonstrations: the Stroop task, the Cognitive Reflection Test, and the Linda problem, this chapter adopts Kahneman's two-system thinking model. It holds that humans evolved a fast, intuitive System 1 thinking and a slower, analytical System 2 thinking, Workplace systems are designed for System 2 reasoning, even though most employee decisions are made under System 1 conditions (time pressure, distraction, and cognitive load). The chapter helps readers assess the true “nature of the decision” in their own environments so they can design for how people actually think.
CH3: Defaults
CH3: Defaults
CH2: Two System Thinking
Defaults rely on cognitive ease and status quo bias to reduce friction, improve consistency, and steer people toward better outcomes without requiring constant vigilance or repeated intervention. Drawing on cases from managed services operations, dashboards, and automation, the book demonstrates how thoughtfully chosen defaults simplify execution and reduce error. Readers are guided through an exercise to audit a current process and identify where default settings could improve performance.
Ch4: Feedback
CH3: Defaults
Ch4: Feedback
Most feedback arrives too late - after the mistake happened. Explore how timely, visible, and actionable feedback helps people detect and correct mistakes before they become costly problems. Using cases involving knowledge bases, operational dashboards, and performance scorecards, the book shows that feedback is most effective when it is immediate, clear, and tied directly to the decision being made. Readers are challenged with a practical exercise for building a feedback mechanism into one high-risk process.
Ch5: Mapping
CH3: Defaults
Ch4: Feedback
Humans are notoriously bad at predicting future preferences. Temporal discounting, recency bias, and focalism cause smart people to make bad decisions when consequences are delayed, abstract, or difficult to imagine. Business cases involving technology choices, and outsourcing versus in-house decisions, show how better “mapping” can help decision-makers connect present actions to future outcomes. Readers learn practical techniques for making consequences more concrete and are asked to apply the tool to one upcoming decision in their own organization.
CH6: Error Elimination
CH6: Error Elimination
Systems that anticipate predictable mistakes and prevent them before they occur can virtually eliminate errors. Using cases from restaurant operations, trade show security, and property management, you'll learn to apply forcing functions, engineered pauses, intuitive design, and error tolerance to reduce rework and losses by removing opportunities for error and making the correct action easier to take. The chapter includes an audit exercise that challenges readers to identify a recurring failure point and redesign the process to eliminate it.
CH7: Incentives
CH6: Error Elimination
Incentives shape attention, effort, and behavior—and poorly designed incentives can unintentionally reward the wrong outcomes. Decades of research provide three must-haves for incentives: they must align actors within the system to achieve the universal goal, they must be salient, and they must be CSI (certain, simple and immediate). Through cases from retail operations, post-acquisition integration, and IT management, the book introduces a simple framework for evaluating whether incentives are aligned with organizational goals. Readers are then prompted to rewrite one incentive structure using the chapter’s three-rule model.
CH8: Structured Complex Choice
CH8: Structured Complex Choice
We are faced with the paradox of choice every day. Unlimited options and complex decisions overwhelm decision-makers with too many variables that create uncertainty. Using examples from hiring, procurement, and knowledge-base design, the book introduces three methods drawn from decision science literature for simplifying complexity: compensatory approach, elimination-by-aspects, and collaborative filtering. The chapter concludes with a practical exercise that helps readers break down one complex decision in their organization into a more manageable structure.
About the Author
Joseph Caccitolo, MBA, PsyD
Joseph F. Caccitolo, MBA, PsyD is an operations executive, behavioral scientist, educator, and author with more than twenty years of experience improving organizational performance by redesigning the systems in which decisions occur. His work combines behavioral economics, organizational psychology, and hands-on operating leadership to help organizations reduce errors, improve execution, and build systems that work with how people actually think.
He currently serves as Senior Manager of Enterprise Services at a global IT firm and previously served as Vice President of Service Desk, Cloud, and Infrastructure, where he helped scale operations, integrate acquisitions, and redesign workflows using automation, feedback loops, and behavioral systems thinking. He also teaches graduate courses in behavioral economics, choice architecture, decision-making, and organizational development at The Chicago School of Professional Psychology.
His book, Efficient by Design, translates those experiences into a practical framework for diagnosing recurring errors and redesigning decision environments so better choices become easier, clearer, and more automatic.
