Getting hired and getting the job someone trained for are different outcomes
For years, workforce programs have been evaluated using a deceptively simple metric: Did participants get a job?
It’s an understandable measure. Employment is visible, relatively easy to track, and in many cases, getting someone attached to the labor market is an important outcome in itself.
But employment is also an incomplete measure of success. As Workforce Pell expands access to short-term credential programs, states will increasingly face a harder question: Did the training provided lead to the occupation it was designed to prepare someone for?
Most states can’t answer that question today.
Consider a student who completes a Workforce Pell-funded cybersecurity certificate. Six months later, that person is employed by a technology company. On paper, that looks like a success story. But what if they were hired into an administrative support role rather than a cybersecurity position?
Those are different outcomes. One suggests the training program delivered on its promise. The other suggests the individual found employment but tells us very little about whether the training itself was effective.
The blind spot in traditional wage records
Traditional unemployment insurance (UI) wage records tell states how much someone earned and where they worked. They don’t tell states what occupation that person had.
Most wage records rely on NAICS codes, which identify only the industry or type of business in which someone works. They’re not the same as Standard Occupational Classification (SOC) codes, which identify the type of work someone performs. A welder and an accountant working for the same manufacturer share the same industry code, yet their occupations, training requirements, wages, and career trajectories are entirely different.
When states only collect industry data, they can measure employment. They cannot reliably measure alignment, which they’re going to have to demonstrate to meet Workforce Pell requirements.
Why this matters beyond compliance
The conversation around enhanced wage records is often framed as a reporting requirement or a data modernization effort, but that framing undersells what’s at stake.
The labor market no longer behaves like the career ladder many workforce systems were originally designed to support.
Workers change industries, move laterally, and pivot when family circumstances, economic conditions, health concerns, or layoffs disrupt carefully constructed plans. Research from Harvard’s Project on Workforce suggests that nearly half of job transitions are driven by reactive decisions rather than deliberate career advancement.
People need technical training, and they also need guidance. And effective guidance depends on understanding where and in what roles previous participants found employment. Without occupation-level outcome data, workforce systems are often forced to rely on assumptions. With it, they can identify which credentials consistently lead to upward mobility, which pathways stall out, and which programs need to be redesigned. States need those insights for Workforce Pell accountability.
When states have clean, occupation-level data on where training paths actually lead, tools can give residents personalized, evidence-based guidance rather than a list of open jobs.
The states that move first will have an advantage
Enhanced wage records that include SOC codes and hours worked aren’t a simple lift to implement, but their value extends well beyond federal reporting requirements.
States that collect occupation-level outcome data gain a clearer picture of training effectiveness, stronger evidence for funding decisions, and the ability to answer questions that policymakers are increasingly asking:
- Did the training lead to the intended occupation?
- Did it improve long-term mobility?
- Did it deliver on the promise made to participants, employers, and taxpayers?
Those are fundamentally different questions than whether someone received a paycheck. Enhanced wage records provide the foundation that makes more sophisticated career navigation tools possible.
We built Indiana’s Pivot workforce recommendation engine on that foundation. Job seekers who used the tool and landed their top recommended job saw an average wage increase of nearly $4 an hour.
Getting someone employed matters. But employment alone can’t tell us whether the system is working. Enhanced wage records provide one of the clearest paths toward an answer.
How prepared is your state for Workforce Pell requirements?
About the author
Michael Schmierer
Sr. Director, Public Sector Consulting @ Resultant
Resultant’s Workforce and Economic Development Practice helps clients leverage data and technology to improve citize...
