Mass Recruitment Optimization

Discover how Proceset reduced labor costs for candidate application
work by 16,000 hours per year.

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In search for hidden potential

Proceset's Task Mining technology has enabled the digitization of the candidate CV handling process on job search websites – a part of the mass recruitment process, that was unexplored. By enriching event logs with data from Proceset's Task Mining Client, the company gained deeper insights into the process.

Goals

Identify the most frequent and labor-intensive operations of the process
Gain a comprehensive perspective of the candidate selection process, from initial search to employment
Determine the actual number of candidate views on job search websites
Find the ways to optimize the process

Stages

Data collection

Installing Proceset Task Mining Clients to track employee activity
Gathering data from HR underlying systems

Analytics

Digitized candidate search performed by HR specialists
Analyzed the candidate search in detail
Detected operations with a considerable potential for automation and RPA
Discovered the ways for process optimization

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out the project outcomes

Customer stories

Analysis of Personal Loan Origination Process

Acceleration of Customer Onboarding

Optimization of Operations with Individuals

Overall optimization potential

12,673 hours

Automation of job applications transfer from job search websites to HR systems

1,859 hours

Elimination of manual job application transfer

1,741 hours

Cutting down on repetitive tasks on job search websites

16,273 hours per year

Full Economic Impact of Optimization

All objectives were successfully met. Enriching the Process Mining logs with data from Proceset Task Mining Clients offered priceless insights into the mass recruitment process.

— Stepan Sharipov
Head of the Process Discovery department at MTS