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1 October 2025

What’s the most effective method of driver training?

Author photo of Johan Forseke alongside a stock image of a man using a smartphone, illustrating a blog post about driver behavior, technology, and mobility insights.

When companies ask, “What’s the best method of driver training?”, they’re often seeking an off-the-shelf solution, whether it’s an app training, in-vehicle coaching, or a video series, that promises to boost driver performance and reduce risk across the board.

But the real answer doesn’t lie solely in the type of training. It hinges on how training is assigned, how often it’s delivered, and what it contains.

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Not all drivers need training

It may be tempting to implement a blanket training program for every driver in your organization, to tick the compliance box. But this approach is rarely efficient or effective. In fact, it can waste time and resources and potentially send the wrong message to your safest drivers.

Some drivers are consistently low risk: their habits are reliable, they adapt well to varying conditions, and they rarely exhibit behaviors that increase crash probability. Assigning standard training to these drivers is unlikely to improve outcomes. Worse, it may lead to disengagement and waste valuable resources.

Unlocking insights: who needs training the most?

Effective training begins before the training itself; with identifying who needs support. AI simplifies this process by assigning a crash probability score to each driver and uncovering the specific behaviors contributing to their individual risk level.

What sets this approach apart is its ability to detect behaviors across the entire risk spectrum, not just those triggered by rule violations or predefined events. Subtle, risk-related behaviors are highlighted early, allowing for proactive intervention. At the same time, safe behaviors are also recognized. Let’s discuss why that matters.

Positive reinforcement makes a difference

Recognizing and reinforcing good driving habits is just as important as correcting risky behavior. Positive reinforcement enhances engagement, promotes a strong safety culture, and reduces training fatigue. It also saves time and money.

By acknowledging low-risk driving, you not only motivate your safest drivers but also establish internal benchmarks for what “good” looks like, encouraging others to follow suit.

A smarter approach to driver training

So, what is the most effective training method? From e-learning modules and in-person coaching to mobile apps, there are many methods to choose from, and your organization may already have a preferred method or combination of solutions in place.

But in practice, effectiveness stems from targeted, contextualized training guided by behavioral insights. With personalized risk profiles across your fleet, it becomes easy to identify who needs training, and why.

Planning an effective training schedule

AI doesn’t just assign crash probability scores, it also segments drivers into risk categories. This makes it straightforward to identify the top 5% of high-risk drivers, who are typically responsible for up to 20% of major claims.

With this information, you can prioritize training for those who need it most. And since you know why a driver is considered high risk, you can swiftly address the specific issues behind that categorization.

AI insights allow you to deliver training routinely, weekly for instance, with the confidence that you’re focusing your efforts where they’ll have the greatest impact.

Maintaining a safe driving culture

Ultimately, the most effective driver training strategy isn’t about picking the “right” tool, it’s about applying the relevant insights. The key lies in knowing:

  • Blanket training doesn’t guarantee results
  • Personalized risk profiles help you prioritize effectively
  • Recognizing good performance strengthens your safety culture

Summary

The most effective driver training isn’t a one-size-fits-all solution. It’s a data-driven, personalized approach that focuses on delivering the right training to the right people at the right time. By leveraging AI to identify risk levels and reinforce safe behaviors, organizations can streamline their efforts, reduce unnecessary training, and enhance driver engagement.

This intelligent, behavior-based strategy not only minimizes risk but also fosters a proactive and sustainable safety culture across the fleet.

Book a demo of our solutions to discover how AI can optimize your driving training program.