This is a summary of the book titled “There’s Got to Be a Better Way: How to Deliver Results and Get Rid of the Stuff That Gets in the Way of Real Work” written by Nelson P. Repenning and Donald C. Kieffer and published by Basic Books in 2025. This book explores why so many modern organizations feel overwhelmed, inefficient, and perpetually behind despite having talented people and advanced technologies. Drawing on decades of research and practical experience, the authors argue that the root of the problem is not a lack of effort or intelligence, but the persistence of outdated approaches to designing work. Many organizations still rely on management ideas inherited from Fordist and Taylorist traditions, which assume that work can be planned in advance, broken into static parts, and controlled through rigid rules. In a world characterized by constant change, uncertainty, and complexity, these assumptions no longer hold. Repenning and Kieffer propose an alternative they call dynamic work design, a way of organizing work that builds learning, adaptability, and responsiveness directly into everyday operations.

 

The authors begin by observing that poorly designed workflow systems often create chaos rather than control. Managers become exhausted, employees feel frustrated, and inefficiencies multiply as organizations try to impose static structures on dynamic realities. To illustrate this mismatch, the book compares traditional workflow systems to early GPS technology that blindly followed preprogrammed routes and steered drivers into traffic jams. Dynamic work design, by contrast, resembles modern GPS systems that continuously gather data from the environment and adjust in real time. In the same way, dynamic organizations constantly draw information from their work systems so people can respond quickly and intelligently as conditions change.

 

When leaders face complexity, rapid growth, or ongoing disruption, they often fall into what the authors call the “firefighting trap.” Instead of understanding how work is actually flowing through the organization, leaders focus on urgent problems and short-term fixes. Over time, this reactive behavior can turn them into “firefighting arsonists,” as well-intentioned decisions unintentionally worsen the underlying issues. Rules proliferate, processes become more burdensome, and employees push back. Dynamic work design offers a way out of this downward spiral by helping leaders maintain visibility into how work is happening while still addressing immediate challenges.

 

A central idea in the book is that dynamic work design is not a rigid framework or a one-size-fits-all solution. Instead, it is guided by a small set of powerful principles that can be applied flexibly, depending on the situation. These principles emphasize solving the right problems, structuring work to enable discovery, connecting people effectively across the workflow, regulating work to avoid overload, and making work visible through visual management. Together, they form a system that keeps organizations focused on creating value for customers while continuously improving how work gets done.

 

The authors stress the importance of choosing the right problems to tackle. Rather than launching large-scale transformations, dynamic work design encourages leaders to focus on small but important problems that a team of six to eight people can meaningfully address within 30 to 60 days. Although this approach may feel unsatisfying to leaders accustomed to sweeping initiatives, starting small accelerates learning and builds confidence. Clear problem statements help teams understand the gap between current performance and desired outcomes, and seemingly minor frustrations often turn out to be major drains on productivity.

 

To support this problem-solving approach, the book emphasizes adopting a discovery mindset. Leaders and teams are encouraged to set aside familiar solutions and resist the temptation to assume they already know the root cause of an issue. Expertise, the authors warn, can sometimes obscure simple answers. By experimenting with small improvements, testing ideas before scaling them, and postponing major technology investments until the problem is well understood, organizations can reduce risk while learning faster. Successful solutions tend to spread organically as people see tangible improvements in their work.

 

Learning, in this model, is not something that happens in classrooms or training programs but is embedded directly into workflows. The authors argue that no learning budget is large enough to compensate for a poorly designed system. Instead, learning is optimized by setting clear targets, defining specific actions, and integrating feedback so teams can see whether their efforts are producing results. Regular, up-to-date data allows people to identify obstacles, adjust their approach, and continuously improve.

 

Another key element of dynamic work design is ensuring that people are connected in ways that allow work to flow smoothly from one step to the next. Confusion often arises when handoffs are poorly defined or when managers rely on informal networks instead of clear processes. The book distinguishes between huddles, which are face-to-face conversations used to resolve ambiguity or make decisions, and handoffs, which transfer work without discussion when expectations are already clear. Managers play a critical role in huddles, using them to monitor progress, solve problems, and coach their teams. Well-designed huddles and handoffs prevent bottlenecks and keep the human chain connected.

 

The authors also challenge the widespread belief that keeping people busy maximizes productivity. Research shows that overloaded teams experience more stress, make more mistakes, and learn less. Dynamic work design aims for optimal challenge, where people are stretched just enough to grow without becoming overwhelmed. By aligning priorities, limiting work in progress, and monitoring flow through metrics like cycle time, leaders can prevent congestion and identify bottlenecks before they cause delays.

 

Visual management plays a crucial role in making work understandable and actionable. Because humans process visual information so efficiently, visual systems help teams see their work as a coherent whole rather than a disconnected set of tasks. Simple tools like problem boards can reveal the status of work, clarify responsibilities, and surface issues early. The authors caution against overengineering these systems, noting that their real value lies in the conversations they provoke. Messy boards often signal deeper problems and should be treated as opportunities for learning rather than failures.