Employer Dashboard Analytics

Checkr knows how important it is to stay informed and up-to-date throughout the entire background check process. So, we created powerful analytical tools built right into your dashboard. Checkr Analytics allows you to diagnose background check slowdowns and get ahead of new ones. It provides you with a better understanding of your hiring process so you can improve and avoid hurtles whenever possible. All while maintaining a consistent process that mitigates risk to you and your candidate.

Expand Video Transcript

So this is something that our product team has worked on over the past year, they’ve put tremendous development effort into it. And what we wanted to do is really design the reporting and analytics to serve as a…Think of it as a customer success director sitting with you 24/7. How can we come in as an end-user, as a customer, and monitor the health of our screening program, and then present that to the executive level team, right? HR compliance, legal, recruiting those metrics are all accessible in the dashboard. And so up here on the tabs we have an overview, this is going to be basic information like turnaround times. How many reports have been sent out? Can we segment that out by the nodes that we talked about earlier? And then really just dive into the specifics of the searches. 

So we can look at minimums, media, and all the statistical analyses being associated with your specific account information. And then as you go to the right, we can drill down further into those specific components of the background screening process, or the packages that you as a customer are running. And so here, we have total screenings are created for those that are pending, the percent of the total that are pending, you can look at things like exceptions, right? Is there any time in the United States, is there a specific location that has a higher propensity to fire an exception or missing information email to collect additional data from a candidate? It could be for a verification, it could be mismatched data on the SSN and date of birth. And then your teams, when you look at that can actually then go specifically to that location, which could just be a training exercise, right? It could be edification for that team. It could be a way to proactively communicate with the candidate alerting them that they may need additional data because we’ve seen a higher level right or higher rate of exceptions in that particular area. And so again, you have the ability to drive down into that granularity within the account.

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