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How Coaching, Not Training, Builds Safer Fleets

A new University of California study reveals that behavior-based coaching helps fleet drivers retain safety lessons and reduce risk far more effectively than classroom training.

October 20, 2025
A brown table has analysis papers splayed across it with a black cup of coffee by the papers.

A UC study recommends a blend of in-cabin coaching, self-coaching, and manager-led coaching for drivers, replacing current training methods for fleets. 

Image: Automotive Fleet

5 min to read


Fleet managers have long relied on driver training to reduce risk, but new research suggests that the real key to safer operations lies in coaching over classrooms.

According to a recent study by the University of California, San Diego, personalized, feedback-driven coaching produces deeper, longer-lasting behavior change than conventional training methods. The study found that fleets using structured coaching programs experienced measurable reductions in risky driving behaviors, enhanced driver engagement, and a stronger overall safety culture.

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Findings demonstrate the effectiveness of individualized, manager-led coaching sessions. Alternatively, the study also shows the power and flexibility of cabin automated warning systems and self-coaching.

To implement long-term safety outcomes, human-led coaching is essential but complex at scale. For this reason, the study outlines recommendations for fleet optimization:

  1. Strategic integration of AI platforms.

  2. Risk identification programs and positive reinforcement within regular short sessions and in-person coaching.

Building on these findings, the study further examines the nuances of effective coaching and education, highlighting which formats yield the most lasting behavioral change.

In-person Vs. Remote Learning Environments

In-person and remote learning each offer distinct educational advantages. While some argue that in-person learning offers a more engaging and enriching experience, others contend that remote learning provides autonomy and flexibility. 

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According to a Human-Computer interaction study from Gary M. Olson and Judith S. Olson, there are a variety of benefits to in-person learning that can't be replicated remotely, such as rapid feedback, discussion, and situational context.

The study also outlines the benefits of in-person learning, particularly for driver coaching and education, with a focus on coaching methods. 

This in-person coaching approach actually mirrors what it would be like to learn in a classroom, reaping exclusive benefits specific to those educational environments. 

Just as educators benefit from direct feedback in classrooms, drivers in in-person coaching sessions gain immediate, situational insights that can prevent risky behaviors on the road.

Research by Yarmard et al. revealed that even educators struggled with the remote format, as it lacked immediate visual and auditory feedback.

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According to page 4 of the UC San Diego study, "This mirrors the potential pitfalls in remote or automated coaching systems for drivers, where the absence of nuanced feedback and real-time human interaction may result in decreased engagement, reduced trust in the system, and ultimately, compromised learning effectiveness and safety outcomes." 

This research suggests that the optimal approach to coaching involves the strategic implementation of in-person, manager-led learning sessions, complemented by remote or automated sessions to broaden the scope of practice. 

How One-on-One Instruction Affects Learning

Individual coaching provides direct and immediate feedback. The study examines Benjamin Bloom's seminal research on instructional effectiveness, which concludes that one-on-one instruction is superior to other instructional methods. Bloom’s research centers on the three most common forms of teaching strategies: conventional instruction, mastery learning, and one-on-one tutoring. 

The research revealed that 90% of students who learned in a one-on-one environment achieved mastery status, whereas merely 20% of students using conventional learning strategies achieved mastery. 

Manager-led coaching resembles Bloom's mastery research and one-on-one tutoring model, which enables the fleet manager and the driver to set specific goals tailored to each driver based on individual skill gaps and behaviors. 

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Fleet programs aiming for behavior change may cite this evidence to recommend incorporating more one-on-one learning to optimize fleets. 

While Bloom’s findings highlight the effectiveness of individualized learning, long-term success depends not only on the instructional format but also on the learner’s mindset.

What Cultivates Long-Term Behavioral Change?

A genuine cultivation of behavioral change among drivers is rooted in accountability and a positive attitude towards fleet safety. In opposition to more traditional instructional methods, effective coaching is essential in this process.

What makes coaching different? 

Coaching emphasizes active learning rather than simply delivering information. The study highlights greater self-awareness among drivers coached one-on-one, leading them to be more accountable, remove bias, and recognize risks. 

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One-on-one coaching is essential for behavior change as a whole because it not only plays a central role in driver education but also provides a more profound, long-term change by sustaining positive driver attitudes towards safety. 

Challenges Drivers May Face in Current Coaching Methods

Fleet managers using current coaching methods may face some hurdles: 

  • Skill-focused training and its larger effects

  • Operational and organizational challenges

  • Lack of individualized coaching and long-term evaluation

To manage these challenges, fleet managers can adopt a blended coaching strategy that balances manager-led sessions with more scalable practices that can be automated, thereby improving overall performance. 
With skills-focused training, drivers often spend most of their time honing skills like vehicle handling and operations, but don't dedicate as much time to developing behavioral psychology, such as risk perception and decision-making under pressure. The study's findings highlight the importance of striking a balance between positive reinforcement and constructive feedback. 

Operationally, drivers may face challenges regarding productivity and efficiency, regardless of the effectiveness of the coaching intervention. Work tasks may influence drivers to prioritize timeliness on their routes over adhering to safety principles. The tug of war between the two (maintaining a high level of operations and adhering strictly to safety) acts as a barrier for drivers under current coaching strategies. 

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Individualized coaching, while important, has its own set of challenges. Coaching interventions often attempt to apply universal learning principles to a highly diverse population. This results in inconsistent strategies and approaches, which typically lead companies to prioritize short-term benefits and immediate rewards over sustainable, long-term behavioral change. 

Driver training and initiatives often lack efficient solutions under current methodologies. 

Driver Recommendations for Fleet Optimization Under Current Driver Coaching Techniques

There are three primary techniques under current management strategies: In-cabin coaching, self-coaching, and manager-led coaching. The study recommends a mix of all three. 

In-cabin coaching is a scalable, flexible, and easy-to-integrate form of coaching. While feedback is immediate, the real results depend on the response of the drivers. 

Self-coaching is suitable for highly autonomous and motivated learners. Still, it ultimately depends on their self-awareness and the level of activity they engage in to pursue and apply knowledge. 

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Manager-led coaching is individual to the manager and those learning under them. While effective, this method faces some resource restrictions. 

The solutions provided by the study can be summarized by combining all three methods: manager-led, automated, and self-coaching approaches to driver education. 

The study’s findings suggest that the most effective fleet safety strategies blend the scalability of digital tools with the empathy and adaptability of human coaching.

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