Measuring career readiness outcomes

What "graduate outcomes" usually means, and what this page means

Search for "graduate outcomes" and most of what comes back is first-destination survey work: where graduates landed a job, what they were paid, how long it took. NACE runs the best-known version of that survey nationally. It is legitimate, useful data, and this platform does not produce it. Nothing here tracks employment or salary after graduation.

What this platform measures is upstream of that: whether a student's career readiness competencies actually grew while they were in your program, using the same instrument at two or more points so the change is comparable. That is a different question, and for most career services and assessment offices it is the more actionable one, because you can act on a competency gap in the junior year and you cannot act on a graduate's salary after the fact.

The leading indicator: competency growth, not just placement

A first-destination number tells you what happened. A competency trend tells you why, or at least gives you a variable you can influence. Cohort analytics built from self- and supervisor-rated competency scores, collected each term on a stable instrument, produce a defensible answer to "did our program make a difference" that a placement rate alone does not, because placement is affected by the labor market in ways a curriculum is not.

The eight NACE competencies are the standard vocabulary for this in US higher education, which is also what makes term-over-term comparison possible: the instrument does not change even when the cohort does.

Building a term-over-term outcomes report

The mechanics are the same whether the audience is a dean, a career services director or an accreditor:

1. Establish a baseline: assess a cohort early (first year, or program entry).
2. Re-assess the same cohort, on the same instrument, later (senior year, or

program exit).

1. Report the delta by competency, not just an overall average. A program

that improved Communication and lost ground on Critical Thinking needs to know that; an averaged score hides it.

1. Pair the self-assessment delta with the [supervisor-rated

delta](/internship-assessment) where you have one. Self-perception moving without a matching change in observed behaviour is a real, reportable finding, not a data problem.

What to report, and to whom

A career services director wants the competency trend to justify a programmatic change. An accreditation reviewer wants the same trend data packaged as evidence mapped to a stated learning outcome. It is the same underlying data, presented differently: one audience wants "is this working," the other wants "prove this is working, against a stated goal, with a defensible instrument." Building the report for the second audience from the start makes the first version easy to produce too.

Frequently asked questions

Does this replace a first-destination or employment outcomes survey?

No. Track both if your accreditor or institution asks for both. This platform's cohort analytics measure competency growth, which is available before graduation and is something a program can act on directly; a first-destination survey measures what happened after graduation, which is also affected by factors outside the program's control.

How many terms of data do you need before this is meaningful?

Two assessment points on the same cohort, on the same instrument, is the minimum for a defensible before/after comparison. Three or more terms let you distinguish a real trend from one noisy term.

Can we track this by major or cohort, not just institution-wide?

Yes, and that is the more useful cut for most programs. An institution-wide average tends to hide the program that most needs the data.