150 hours
saved by eliminating manual CV sifting
98%
completion rate on the behavioral questionnaire
1 month's salary
in cost saved through online assessment
in graduate applicants for the Commercial stream, with no scalable process in place
Merger driving volume, without a scalable process
A merger-driven surge in graduate applicants, and no way to screen them fairly.
BNP Paribas Real Estate anticipated a significant increase in graduate applicants for its Commercial stream following a merger, and needed an assessment process that kept candidate experience strong, worked efficiently at scale, and eliminated manual CV screening, while remaining fair, objective and cost-efficient
Manual screening couldn't scale with rising volume. Without a structured, evidence-based approach, the organization risked slower decisions and a harder-to-defend, less consistent process for candidates.
One evidence-based process, from aptitude to job fit
Aptitude testing, a behavioral questionnaire, and a smart Role Fit algorithm, in one flow.
Saville ran focus groups with current graduates and stakeholders to identify the behaviors that actually predict success in BNP Paribas Real Estate's Commercial stream, then built a screening process around them.
Candidates completed a Swift aptitude assessment, then a Work Strengths behavioral questionnaire, giving BNP Paribas Real Estate a consistent, evidence-based view of every candidate at volume.
A Role Fit app used a smart algorithm to calculate each candidate's job fit score, replacing manual CV sifting with a fast, consistent, fair filter, and every candidate received a meaningful feedback report regardless of outcome.
Identify what good looks like
Focus groups with current graduates and stakeholders pinpoint the behaviors that predict success in the Commercial stream
Screen consistently, at volume
An aptitude assessment and a behavioral questionnaire replace manual CV sifting with a consistent, evidence-based process
Score fit automatically
A Role Fit app calculates a job fit score for every candidate, and every candidate receives a feedback report
saved by eliminating manual CV sifting, about a month of work
Faster, fairer screening, without losing candidate quality
BNP Paribas Real Estate now screens its Commercial stream graduates at volume, without the manual workload or the fairness risk.
The aptitude test achieved a 92% completion rate and the behavioral questionnaire 98%, and every candidate received a meaningful feedback report. More robust, predictive screening lifted candidate quality at the video interview stage.
The process showed no adverse impact on gender or ethnicity, with a higher proportion of women progressing to the Assessment Center than in the previous cohort. Eliminating manual CV sifting saved around 150 hours, about a month of work, with cost savings equivalent to a month's salary.
Graduate screening, before and after
How screening time, fairness and candidate experience changed once every applicant was assessed the same way.
Ready to screen graduates fairly, at volume?
We can help you build a consistent, evidence-based way to screen graduate applicants at scale, protecting candidate experience and diversity outcomes while cutting manual screening time
