Candidates assessed
Hires matching required competencies and culture
Average candidate experience rating
Working Talent needed to quickly and objectively select candidates who would be a good fit for their traineeship program. Rather than relying solely on hard criteria (resumes and technical skills), they wanted deeper insight into the competencies, drivers, and cultural preferences that make a trainee successful. Additionally, both candidate satisfaction and recruiter satisfaction were key priorities.
• Targeted Selection: 76 candidates were assessed using The Selection Lab’s solution, resulting in 28 hires who better match the required competencies and company culture. • Higher Recruiter Satisfaction: Thanks to objective data and structured reporting, recruiters can more easily identify the right talent. • Improved Candidate Satisfaction: Candidates rated the assessment process 4 out of 5 stars, citing its professionalism and the valuable insights it provided. By integrating a data-driven assessment, Working Talent successfully selected the right trainees, increased satisfaction among both recruiters and candidates, and laid a solid foundation for successful onboarding. This approach significantly boosted the likelihood of a strong match, leading to higher productivity and lower turnover.

Friesland Campina needed forty trainees worldwide. Within three weeks, 23,000 applications came in from 18 countries. Selection Lab built a fair, fully automated selection flow, fully compliant with the EU AI Act, that processed every candidate objectively and hired 40 trainees in under a month.
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Carrefour Belgium combined chat with scientifically validated assessments in one seamless flow connected to their ATS. The result: recruiters now spend 80% of their time on candidates who truly fit, with zero minutes wasted on admin and follow-up calls.
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Aethon partnered with Selection Lab and Byner to redesign their hiring flow with chat, a Situational Judgement Test, and integrated interview scheduling. The result: fewer drop-offs, fewer post-start surprises, and less early turnove, live within four weeks.
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