Data Bites | Digestible Research for Driver Recruiting

Discover Essential Insights from Drivers

Explore the forefront of industry trends and data-driven insights that will elevate your driver recruiting tactics. Our thorough analysis delivers the understanding you require to excel in a challenging market.

Data Bites: Driver Retention 1
Data Bites: Drivers & Retention

This edition focuses on retention, offering a straightforward look at what drivers say keeps them loyal–or pushes them away. 

Data Bites: Drivers Job Search
Data Bites: Drivers’ Job Search

In this edition we uncover drivers’ job search behaviors, preferences, and frustrations, giving you a clear look at the trends shaping their decisions. 

Data Bites: Driver Onboarding

How does your onboarding process stack up? This edition of Data Bites reveals insights from drivers about the onboarding experiences that matter most. 

Data Bites: Drivers & Technology

From privacy concerns to the role of cutting-edge tools, Data Bites: Drivers & Technology uncovers how drivers are responding to the technology in their trucks.

Data Bites: Driver Home Time and PTO
Data Bites: Driver Home Time & PTO

When choosing a fleet, drivers are clear: PTO and home time aren’t optional–they’re essential. But what exactly do they expect, and how do these priorities influence their decisions?

Data Bites: Driver Media Usage

This edition of Data Bites highlights trends influencing drivers’ perceptions of the trucking industry, focusing on challenges like industry image, carrier relationships, and talent competition.

Data Bites: Driver Benefits
Data Bites: Driver Benefits

What benefits truly make a difference to drivers? This Data Bites installment explores what drivers look for when choosing an employer and how well current offerings match their expectations.

Data Bites: Driver Pay
Data Bites: Driver Pay

Compensation is at the center of every decision drivers make–from where they work to how long they stay. In Data Bites: Driver Pay, we dive into the numbers that matter most

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