Graduate Career Tracking Employability Rate Scorecard
Add your degree programmes, enter cohort placement data — employment rate, industry match, salary, and time-to-job — and calculate overall market success scores. Filter by faculty or performance tier and export a structured PDF scorecard.
No login · Runs in your browser · Free PDF export
Add degree programmes to begin tracking graduate employability outcomes.
Why Graduate Employability Tracking Matters for Universities
Graduate employability is one of the most scrutinised metrics in higher education accreditation, ranking frameworks, and government funding allocation. QS World University Rankings weights graduate employment outcomes at 10% of the overall score, while national bodies such as the University Grants Commission tie programme approvals and enrolment caps to verified post-graduation placement data. Universities without systematic tracking fall back on self-reported alumni surveys — data that is inconsistent, delayed, and largely unreliable.
A robust employability scorecard captures five dimensions per programme: overall placement rate (employed graduates as a percentage of cohort), industry relevance match (percentage in field-aligned roles), median time-to-employment (months from convocation to first offer), average starting salary, and longitudinal cohort trend comparison. When these are tracked at programme level — not aggregated at institutional level — faculty deans can identify which curricula are misaligned with market demand and make targeted interventions before accreditation reviews.
Institutions using centralised graduate tracking report 40% faster identification of at-risk programmes compared to those relying on annual surveys. This tool lets you enter your own programme data and computes weighted market success scores based on placement rate, industry relevance, salary outcomes, and speed of employment.
How to Use the Graduate Career Scorecard
Follow these steps to get results in under a minute
How Graduate Career Tracking Scorecard Compares
vs spreadsheets, manual processes, and paid platforms
| Feature | UniCloud360 Graduate Career Tracking Scorecard | Manual Alumni Surveys | Google Sheets Tracker | Dedicated Alumni ERP |
|---|---|---|---|---|
| Programme-level employment rate | Per-programme scorecard | Survey only — no systematic rate | Aggregated institutional rate only | Programme-level drill-down |
| Industry placement breakdown | Industry match % per prog | No industry categorisation | Free-text only, not structured | Full sector taxonomy |
| Salary outcome tracking | Avg salary per programme | Self-reported, unverified | Optional field, rarely completed | Verified via employer records |
| Cohort size vs employed delta | Cohort vs employed count | No denominator tracking | Manual formula required | Automated cohort matching |
| Time-to-employment metric | Median months to first job | Not captured | Not captured | Event-driven tracking |
| No login required | Runs in browser | Google account required | Login required | Login required |
Who Benefits from Graduate Employment Visibility
Employability data drives accreditation outcomes, funding decisions, and curriculum relevance across the institution
Graduate employment rate is a direct QS and THE ranking input. Centralised tracking ensures the institution submits accurate, verifiable placement data at every ranking cycle.
Identify which degree programmes are losing labour market relevance before enrolment declines signal the problem. Data-driven curriculum review cycles replace reactive emergency redesigns.
Segment graduates by programme and cohort year to allocate career counselling resources where placement rates are lowest. Replace blanket services with faculty-specific placement campaigns.
Produce auditable, per-programme graduate outcome reports aligned to UGC, AACSB, and discipline-specific accreditation body evidence requirements at any point during the review cycle.
Cross-reference industry placement categories against current module offerings to identify skills gaps. Low industry-match rates signal which elective clusters need market-facing redesign.
Trusted by Career Services Offices
Trusted by lecturers and students across Sri Lankan universities
"The programme-level breakdown is what was missing from our institutional reporting. Being able to see that IT graduates place in 2.2 months versus Law graduates in 5.2 months completely changes how we prioritise career counselling resources."
"We used this to benchmark our Accounting & Finance placement rate against our own internal target. The cohort size versus employed delta view is exactly the kind of evidence our accreditation committee asks for."
"Graduate employment is 10% of our QS score and we previously relied on a one-page annual survey. This tool showed us how granular the tracking really needs to be — industry match rate is a completely different metric from simple placement rate."
"The time-to-employment metric was the most useful discovery. Our CS graduates average 2.1 months but humanities graduates average over 8 months. That's a curriculum design signal, not just a career services issue."
"We are heading into a UGC programme review cycle and this tool gave our faculty deans a clear picture of which programmes need curriculum overhaul before the committee visits. The poor-rate filter was invaluable."
"The industry distribution breakdown per programme is something our employer partners ask for at every engagement session. Showing them that 72% of our CS graduates go into technology roles versus 10% into finance changes the conversation completely."