Hiring practices in tech are changing faster than many organizations expected. New tools, shorter product cycles, and persistent skills shortages mean recruiters are under pressure to find people who can contribute on day one. That shift is the backdrop for a short, pragmatic study published in May 2026 that compares skill‑based and degree‑based hiring in the IT sector and offers a useful reality check for HR teams.
The research, published as "Redefining Recruitment in the it Sector: A Comparative Study of Skill-Based and Degree-Based Hiring Practices" (May 25, 2026), asked a simple question: which approach better identifies job‑ready candidates and supports better on‑the‑job performance? The authors collected primary data with a structured questionnaire from 100 respondents — a mix of IT professionals, students, job seekers, and HR practitioners — and supplemented that with secondary sources. They used percentage analysis, chi‑square tests and correlation analysis to read the patterns in the responses. The article is openly available at https://doi.org/10.55041/ijsmt.v2i5.429 and the full PDF is hosted by the journal.
The headline results are straightforward and relevant for talent teams. Sixty percent of respondents reported that their organisations predominantly use skill‑based hiring, while only 18% said degree‑based hiring still dominates; 22% described a hybrid approach. Half the respondents ranked skill‑based hiring as the most effective way to identify job‑ready candidates, and roughly 70% believed skill‑based hires show superior workplace performance. The authors also report a correlation coefficient of 0.764 between skill‑based recruitment and employee performance — a strong positive relationship in social‑science terms.
Those numbers help explain why many organisations supplement CV screening with structured assessments — coding tests, project evaluations, case analyses and simulations were all cited as common practices. For hiring managers, the attraction is obvious: validated, work‑like tests reduce uncertainty about practical ability and often shorten the ramp‑up time for new engineers and analysts.
At the same time, the study has limits you should keep in mind before overhauling your process. The sample size is modest (100 respondents) and the evidence is cross‑sectional and survey‑based, which means it captures perceptions and associations rather than proving cause and effect. Self‑selection and local hiring norms can shape responses, and the study does not track long‑term retention, promotion or quality outcomes tied to specific hires. In short, a strong correlation and widespread practitioner support suggest skill‑based hiring is valuable, but they do not prove it will always outperform degree‑based selection in every context.
So what should HR leaders and recruitment teams take away? First, skill assessments deserve a permanent place in the toolkit. Well‑designed tests and project tasks give a fairer and more predictive signal of job readiness than résumé keywords alone. Second, a hybrid model remains practical: academic credentials can indicate foundational knowledge while skills validations show applied ability. Third, investing in structured evaluation — clear rubrics, standardized tests, and work sample tasks — reduces bias and makes hiring decisions easier to justify to hiring managers.
Practically, start small and measure. Define the core technical and collaboration skills for the role, introduce a short work sample or take‑home task, and track hires against performance and retention over six to twelve months. Partnering with learning providers, sponsoring industry‑aligned projects, and recognising microcredentials can also widen the pipeline without sacrificing standards.
The 2026 study doesn't declare degrees obsolete, but it underlines a trend many organisations are already acting on: skills matter, and companies that assess them deliberately will likely move faster and get better outcomes. For recruiters and HR leaders, the immediate step is not to choose degrees or skills dogmatically, but to design hiring systems that combine sensible credential checks with reliable demonstrations of real work ability.