There's no work history to screen against at entry level, so most companies default to GPA and pedigree, which employers themselves increasingly say don't predict performance.
Nearly 90% of employers rate problem-solving as essential for graduates, ~80% prioritise teamwork and 70%+ value written communication, ranked well ahead of GPA. 70% now run skills-based hiring for entry-level roles, up from 65% the year before. The industry has already concluded resume-based signals don’t work here. The open question is what replaces them.
Zen Assess’s case-based, psychometric and aptitude tests are weighted more heavily for early-career roles because they’re the closest available proxy for how someone will perform, absent a work history.
Zen Copilot reveals how a candidate reasons through a problem and uses tools, AI included. That surfaces learning agility: arguably the single most predictive trait for someone you’re planning to train.
A startup hiring 20 experienced engineers at an ₹18L average commits ₹3.6 Cr to payroll. Run the same plan as 10 experienced hires plus 10 graduates with structured training, and the blended cost drops sharply while an internal leadership pipeline starts forming. It’s the same logic behind every major graduate program, Unilever’s Future Leaders included.
One graduate leaving within 12 months compounds through onboarding, training and manager time, not just recruitment cost.
The metric that actually validates whether the assessment picked the right people.
The clearest long-term proof that early hiring built a leadership pipeline, not just filled seats.
Assess reasoning and learning agility, the signals that actually predict early-career success.