Low adoption gets treated as a training problem almost by default. Recruiters are not logging activity the way they should, reports are unreliable because half the team enters data differently, and the response is usually the same: schedule another training session, send another reminder, hope the numbers move. When they do not move, the instinct is to schedule more training, not to question whether training was ever the right fix.
In a meaningful share of cases, the real cause sits somewhere training cannot reach. Workflows that no longer match how the team actually works, data entry that creates friction instead of reducing it, and manual steps that exist because an automation was never built all produce the exact same symptom as a skills gap, without being one. Three specific signs make the difference visible before you spend another budget cycle on the wrong fix.
Why Adoption Gaps Get Misdiagnosed as Training Problems
Training gets reached for first because it feels like the direct fix. Adoption is low, so the assumption is that the team needs to learn the system better, and a training session is something you can schedule, budget, and point to as action taken. It looks like progress even when it is not solving anything.
The trouble is that training fails more often than most leaders assume, even when it is delivered well. Across organizations, an estimated 45 percent of workplace training is never applied back on the job.1
When the cause of low adoption sits in the system itself rather than in what the team knows how to do, that failure rate is not a sign the training was poorly designed. It is the expected outcome of training being aimed at the wrong problem.
Three Signs the Root Cause Is Configuration, Not Training
Each of these signs points to a specific kind of failure. None of them show up as a skills gap once you look closely, and none of them get fixed by scheduling more sessions.
Adoption Didn’t Improve After Previous Training
If your team has already been through a round of Bullhorn training and usage numbers barely moved, that is information, not a reason to try again. A well-delivered training session that does not change behavior usually means the behavior was never the problem.
Recruiters who sat through the same session and still default to spreadsheets or side trackers are not ignoring what they learned. They are working around a system that does not support how they actually operate day to day.
Usage Clusters Around a Subset of Available Functionality
When most of your team touches the same handful of screens and ignores everything else Bullhorn offers, that pattern is worth investigating before it gets written off as a preference.
Consistent, team-wide avoidance of specific features usually means those features were never configured to fit the actual workflow. Recruiters do not skip functionality at random. They skip the parts that create extra steps instead of removing them.
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Recruiter Workarounds Predate the Current Team
If the spreadsheet, the shared tracker, or the manual process someone shows you was already in place when they joined, it did not originate with them. Workarounds that outlast multiple hires are not a training gap passed down informally. They are a signal that the system itself pushed the team toward a workaround early on, and no one has gone back to close that gap since.
What Comes Next Once the Pattern Is Confirmed
Recognizing these signs is not the same as fixing them, and it does not have to lead to an overhaul. It changes what gets funded first.
A Configuration and Data Health Review Comes Before Training Investment
Once one or more of these signs shows up, the next step is not more training. It is a structured look at the configuration and data underneath the workflows recruiters are already avoiding. That review identifies exactly where the system stopped matching the business, so any training that follows is aimed at something that will actually hold.
Training on Top of a Configuration Problem Adds Cost Without Adding Adoption
Skipping the diagnosis and going straight to training does not just fail to fix the problem. It spends budget, pulls recruiters off the desk for sessions that will not change their behavior, and adds a round of change fatigue on top of a system that already was not working for them.
The second time adoption does not improve, the team stops trusting that leadership understands what is actually wrong, which makes the next fix, whatever it turns out to be, harder to land.
Request a Navigator Scope Audit
Another round of training will not fix a system that was never configured to support the way your team actually works. A Navigator Scope Coverage Audit gives you a clear answer on whether your adoption gap is rooted in configuration, data health, or training, so the next investment you make is aimed at the problem that is actually there. Newbury Partners walks through your environment function by function and shows you exactly where the gap started.
Request a Navigator Scope Coverage Audit!
Reference
1. Gartner, Inc. “Gartner Says Artificial Intelligence Projects in Infrastructure and Operations Stall Ahead of Meaningful ROI Returns.” Gartner, 7 Apr. 2026, www.gartner.com/en/newsroom/press-releases/2026-04-07-gartner-says-artificial-intelligence-projects-in-infrastructure-and-operations-stall-ahead-of-meaningful-roi-returns.
