The end of the year will be here before we know it, and with it brings the dreaded year-end reporting for driver risk professionals.

But with Qorta’s Insight tool, you can virtually eliminate the endless CSVs and late nights that haunt this annual tradition. Qorta Insight offers a variety of benefits for risk professionals looking to improve their year-end driver risk analysis reporting process, including:

  • Putting your MVR, crash and claims data behind a “single pane of glass”
  • Offering intuitive tools to find the exact answers you need
  • Making it simple to grab and share appealing, organized and insightful visuals

Keep reading to learn how you can make your year-end driver risk reporting process quicker and easier.

Getting Started with Annual Reporting

The beauty of Qorta Insight is the ability to start at the proverbial “50,000-foot view” and drill down into the details – pairing well with your annual reporting. Here’s a simple outline you can use to organize your annual driver report, taking a top-down approach.

How Much Driver Risk Do I Have?

At a glance, our sample company here is having a very bad year from a risk perspective. Driver violations are up 32% and crashes are up 210%.

Qorta Insight provide detailed information about driver violations

Here’s a silver lining: they have about 97.4% of their total population with a valid driver’s license, which is actually better than the 2021 SambaSafety benchmark of 96.7%.

See invalid licenses in Qorta Insight

However, the crash costs have run into the six digits for this hypothetical company.

See how much crashes are impacting your company
Crashes have tripled, and the claims costs are in six digits.


What Behavior is Causing Driver Risk?

The next obvious thing to ask is: what behavior has been causing risk over the past year? Using Qorta Insight, you quickly drill into the violations dashboard and look at the types of violations.

Insight shows your violation categories
Nothing too shocking here: Speeding!

Speeding is a straightforward problem. And as a leading indicator of crashes, you’ll see shortly that it’s high up on the list. But “Maneuvers” as a violation category covers a lot of sins. What specific problems does our safety director need to focus on in 2022? Let’s look more closely.

Insight provides a in-depth analysis of driver violations
More than half of the violations for Maneuvers were “following too closely”

Most troopers will tell you that getting pinched for “following too closely” is not because a driver was suddenly cut off. It usually belies tailgating and road rage. The data for this company points at a driver population that’s prone to aggressive driving. This gives our risk professional a specific safety initiative for 2022, with the hard data to back it up!

What Areas of My Organization Need Intervention?

Some parts of your organization may be performing better or worse than others. Qorta Insight lets you look at leaderboards based on the groups with the most violations, crashes or percentage of invalid licenses.

Take a look at the “Western Region.” We know the Western Region is pretty large in terms of drivers, right? But it’s not the largest. Yet it’s where we are facing the most risk, both in terms of raw numbers and the rate per driver.

Qorta Insight's Group Leaderboard

With Qorta Insight, you can dig a little deeper into the numbers to identify the problems and figure out an intervention. You can also filter by types of driver violations to help focus your intervention efforts. In the example below, we’ve filtered by speeding.

Qorta Insight speeding violations

By looking at the speeding violations, we discovered that the Western Region’s problems are on the far side of the country. Perhaps they’re a trucking company with a major distribution center there, and the drivers feel pressured to “make up time” near the end of their run. Whatever the case, it merits investigation by the safety team.

What are Leading Indicators of Crashes?

The table below showcases the results of a study recently conducted at SambaSafety analyzing decades of driver data. From this study, it’s clear that violations (and crashes) are the best way to predict future crashes. For example, if a driver receives a violation for failing to signal a lane change, it increases the likelihood of a crash within the next 12 months by almost 113%!

Which violations are most likely to lead to crashes
SambaSafety has evaluated risk on millions of drivers over the past 20+ years. Our 2021 crash prediction study correlated MVR violations with insurance claims. The results give a clear indication as to which violations increase the odds of a claim down the road.

And while our leading indicator study is a good starting place, you should also look at your company’s unique leading indicators. Maybe you don’t get many “failure to obey a sign” tickets because your vehicles have more freeway routes than urban routes. Maybe you test for drugs regularly, thus reducing your DUI incidents.

Want to know which of YOUR company’s violations were most associated with YOUR crashes? You can look that up with a simple click.

When this company looks at only those violations in the 12 months prior to crashes, we can see an outsized impact of speeding: from 55% to 66%. Maybe it’s time to look at adjusting the company’s disciplinary actions on speeding. Or better yet, to emphasize it during regular training.

Are We Getting Better or Worse?

Obviously, the Company Insights dashboard paints an unflattering picture for this company.

But when our doomed safety manager pops into the Violations Insight page, he sees a glimmer of hope: a positive downward trend in violations counts during the fourth quarter!

“Look at Q4! Sure, we’ve had our problems this year. But we’re turning a corner, and improvement is on the way!”

Don’t Confuse Bureaucratic Lag with Improvement

Here’s a critical piece of advice: don’t fall into the trap of telling your boss that you’re on a positive trend just by looking at raw counts. Last quarter’s MVR data is always in flux.

We call this “bureaucratic lag”.

It takes 1-3 months for violations to trickle in from troopers to the courts and/or DMV. Qorta Insight uses machine learning to forecast where the past three months will settle. In the example above, December has 20 reported violations, but Qorta Insight forecasts you could expect about 27 violations as bureaucratic lag catches up to reality.

Bureaucratic lag describes the delay in violations count as tickets wend their way through the legal system. For example, a driver is pulled over in December, tries to fight the ticket in February and is ruled against in March. As soon as it’s adjudicated* in March, it will hit your report. But it changes your December number.

* Monitoring nerd point: we often get the data from courts instead of the DMV to keep your costs low.

To combat bureaucratic lag, Qorta Insight uses machine learning and your past three years of data to forecast the past three months of violations.

Grab Gorgeous Graphics for Your Report or Presentation

Building up your annual report is incredibly simple. Any visualization can be downloaded in multiple ways. You can get the raw data, of course, but you can simply download a graphic — literally any graphic in Qorta Insight — to drop into a presentation or report.

Ready to Make Your Annual Driver Risk Reporting Easier?

Download this guide to learn how continuous driver monitoring can help you paint a more clear picture of your driver risk.