A Fortune 500 global technology consulting company improves the speed and accuracy of candidate assessments with impress.ai
41%
Reduction in candidate drop-off
396
Hours of recruiter productivity saved
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Technology Consulting
Industry
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700K+
Employees
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SE Asia
Location
The Challenge
The Fortune 500 company relied on manual candidate assessments and generic evaluation criteria for hiring tech talent, which led to a slow and challenging hiring process. Additionally, the company encountered issues with unconscious bias during candidate selection.
The Results
By automating 80% of the candidate shortlisting process, impress.ai helped the client achieve 88.3% accurate responses for candidate queries, saved 396 recruiter hours, and reduced candidate drop-off by 41%.
The Business Benefits
The client shortened the time-to-hire, improved the candidate drop-off rate, mitigated unconscious bias, and ensured an enhanced candidate experience.
The Background
As a Fortune 500 tech consulting company, the client focused on hiring quality tech candidates to fulfill its commitment to offering top-notch technology consulting services and solutions to enterprises. With the existing manually driven hiring process, they were experiencing multiple problems like:
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- The inability to personalize assessments based on candidate persona
- Poor candidate engagement, leading to an increased drop-off
- The occurrence of conscious or unconscious bias
- A slow and inefficient hiring process
- Failure in assessing candidates accurately
- Non-availability of recruiters around the clock to answer candidate queries.
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The Solution
impress.ai’s recruitment automation platform automated the entire candidate assessment process to ensure the client hires the best tech talent in the market. The AI-powered platform personalized the assessments based on the candidate’s persona and technical skill set.
It shortened the length of -reviews, potentially reducing the candidate’s frustration and drop-off. The platform offered technical skills evaluation and coding simulations leveraging machine learning and gamification to make assessments more accurate and efficient. impress.ai’s platform seamlessly integrated with a third-party coding assessment provider and combined its own assessment scores with that of the third-party provider to offer cumulative scores. Intelligent virtual assistants were available 24/7, keeping interested candidates engaged. It also helped reduce the manual effort involved in addressing candidate queries and offered flexibility in applying outside working hours. Comprehensive candidate analytics and real-time insights also enabled recruiters to make quality hires seamlessly.
The Results
impress.ai’s recruitment automation platform automated the entire candidate assessment process resulting in
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- Reduced candidate drop-off by 41%
- Saved 396 hours of recruiter productivity during the assessment and evaluation process
- Achieved an accuracy of 88% while responding to candidate queries
- Received a 90% candidate satisfaction rating
- Ensured 24/7 candidate assistance (close to 49% were interacting outside working hours )
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