Employed Isn't the Same as Aligned

Two graduates finish the same healthcare IT credential. Both land jobs within six months. On an employment report, they look identical — two more entries in the "placed" column.
One becomes a Clinical Systems Analyst. The other, a Digital Health Project Manager.

Are those the same outcome? Maybe. But, maybe one is a direct hit and the other a near miss — or not a match at all. From the titles alone, there's no reliable way to know. And for an issuer trying to understand whether a program is working, that ambiguity sits on top of one of the most important questions they can ask: did our learners get the jobs they trained for?
This is the question that enables credential issuers to go beyond evaluating their programs' employment rates to a deeper understanding of how employment opportunities align with credential offerings. For issuers, the answer is what turns "we think our program works" into evidence showing which programs are delivering, which need to change, and where a field is heading. It's accountability, to learners, to employers, and to the broader workforce ecosystem.

But to answer it at scale, you have to start somewhere that might seem a bit unglamorous: the job title.

The problem starts with the title

Classifying a job title takes two things: knowing what kind of work the role represents, and knowing whether the skills it requires line up with the skills the credential teaches. When looking at a single title, someone familiar with the field can probably determine both of these things. 
The challenge emerges when trying to match credentials against the entire labor market. There's no standard naming convention for jobs. The same work carries different titles across employers, regions, and industries, and new titles appear faster than anyone can catalog them. Multiply that across the hundreds of thousands of titles in active use, and matching a real-world role to a specific credential becomes a genuine barrier. 

Building on O*NET, not around it

The natural place to start is O*NET, the most widely used occupational framework and a backbone of federal workforce data. Its alternate-title database is the deepest public mapping of real-world titles to occupational codes. However, it was built for  the particular job of describing broad categories of work for career guidance and workforce planning. That purpose shapes both its value and limitations. 
O*NET sorts the labor market into roughly 1,100 occupation categories meaning different roles can share a single bucket, blurring the skill differences that alignment depends on. Because its data is survey-based, O*NET updates on a slower cycle than fields like cybersecurity, data analytics, and healthcare IT actually move.
CredLens builds on top of O*NET's structural backbone and pairs it with modern workforce data from Revelio Labs, which captures the titles that haven't yet reached public taxonomies. Where the two overlap, we deduplicate. Where they diverge, each covers the other's gap. The result is a taxonomy roughly three times deeper than either source alone with an added layer built specifically to score how well a job title aligns to a credential.

Language models start the work of processing titles no one has seen before, placing unfamiliar or oddly worded roles near their closest real-world equivalents. Ambiguous or emerging titles are flagged with explicit confidence levels, and human review is aimed at the uncertain cases affecting the largest number of credential holders. All this together enables those using the CredLens insights platform to see the positions that their learners are landing in and how closely their most common placements align with the target roles of the credential. 

What alignment data unlocks

The job someone lands tells you where they started, but not where their career journey will lead them or if they are on the right path to begin with. A reliable taxonomy is what lets issuers see not just whether their learners landed the job, but if they are heading in the right direction. 

When issuers can see where graduates land and how closely those roles match what they trained for, guesswork and subjective insights can be replaced with evidence. Credential program design gets sharper, because leaders can see which programs create real alignment and which need a stronger employer connection or a curriculum adjustment. Value stories get more impactful and accountability becomes something you can measure, rather than something you assert.