AI-Resilient Graduate Recruitment: Faster, Fairer, Smarter
From large scale corporate and whole-of-government programs to small, one-off campaigns
Outsourced or do it yourself
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GradSift Science100% Alignment with Employer Final Hiring DecisionsGradSift’s algorithm is grounded in behavioural science, the same evidence that underpins structured interviews. To predict early career success, the strongest available evidence is not abstract ability alone but demonstrated behaviour to date. • achievement relative to opportunity • initiative taken without formal authority • commitment to chosen career fields • teamwork • indicators of motivation for the role and organisation
The model has been validated against real hiring decisions across multiple employers. GradSift's assessments have a 100% success rate in matching employer final selection decisions.
Dig deeper into the science?GradSift is based on high-quality, empirically keyed biodata. "Biodata (short for biographical data) refers to structured information about a candidate’s past experiences, behaviours, and accomplishments, collected in a standardized way and used to predict future job performance. What biodata looks like in selection research: Biodata is not a resume. Instead, it’s typically a questionnaire with multiple-choice or scaled items such as:
Answers are weighted based on statistical relationships with performance outcomes. For example, certain response options are given more points because high performers historically chose them. This is why empirically keyed biodata shows higher validity.
Compared to psychometric tests: Biodata captures what people have actually done, not just traits or preferences"
Predictive performance: Empirically keyed biodata has a corrected performance validity of .35, placing it in the same ballpark as: Source: Revisiting Meta-Analytic Estimates of Validity in Personnel Selection: Addressing Systematic Overcorrection for Restriction of Range Paul R. Sackett1, Charlene Zhang1, Christopher M. Berry2, and Filip Lievens3 1 Department of Psychology, University of Minnesota 2 Department of Management and Entrepreneurship, Kelley School of Business, Indiana University 3 Lee Kong Chian School of Business, Singapore Management University Where GradSift works best:Assess graduate resumes 10X faster than manual reviews
AI-resilient assessment for graduate hiring
ATS built for high-volume early careers recruitment - 4X faster
Manage graduates across whole-of-government in one platform
Let managers review, filter and shortlist graduates independently
Screen 1,000+ graduate resumes 10X faster than manual reviewsStop wasting time on manual resume screening - whether it's 200 or 10,000 resumes.
GradSift's plaform instantly assesses a candidate's background across academics, various work experiences and extra-curricular achievements. That's based on a structured data profile each candidate creates - not from their resume. The results are evaluated in line with the different selection requirements you set for each role. Just as you would in a manual resume review. Only 10X faster. In fact, instantly. Combine that with candidate role preferences, gender, diversity, prior employer filters, video and much more. The time savings and productivity benefits are huge. Plus, GradSift is AI-resilient. That means the candidate data you assess is authentic - not inflated by AI.
A government agency recruited for graduate and internship roles, manually reviewing each resume. This was time consuming and carried the risk of unintended bias and short-cut selection decisions. Switching to GradSift saved a huge amount of time, with all candidates assessed consistently and objectively. Shortlisted candidates were quickly presented to hiring managers for interviews.
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