A better and faster recruitment and selection process

Möbius was asked for redesigning the recruitment and selection process that meets the needs on efficiency, digitalisation and satisfaction.

Proximus, known as Belgium’s largest telecommunications company, requested a thorough improvement of its employee onboarding with a focus on both the candidate as recruiting manager. Proximus specifically requested to assess the current recruitment and selection processes with objective data (qualitative and quantitative). Process mining was quickly identified as the approach yielding a significant potential to reach the desired project objectives in a fast and qualitative way and to perform the redesigning.

Strategic moment

Proximus is responsible to fill in a considerable amount of vacancies each year. The amount of candidates applying for these vacancies has a wide variation, ranging from young graduates to digital experts to internal employees applying for other functions within Proximus. The modus operandi in the job center, responsible for the selection and recruitment of these candidates, is similarly organised. Möbius was requested to redesign the process with both the satisfaction of the candidate and the internal efficiency in mind. Turnaround time (time between the moment the opening of a vacancy and the moment it’s filled in) and the quality of the process is crucial for both parties.

The very first experience within a company happens at onboarding. This is why it’s of the utmost importance to strive towards an experience that exceeds expectations so that future employees are feeling welcomed and are able to start with great motivation. Leveraging on the analysis of Möbius and process mining, we were able to gain objective insights to improve our process.

Britt Wellens Operational excellence Lead Proximus

Approach

We opted for an integral and inclusive approach, with specific attention for the principles of Lean Six sigma optimisation. To achieve this, a taskforce was set-up with the hiring manager, HR partners, recruiting officer, the administrative support and the candidate. An interactive inspiration session on the philosophy of six sigma set the stage. Thanks to process modelling software, we visualised the full recruitment and selection process. We enriched this data with qualitative insights via interviews, Gemba walks and desk research. Together with the candidates, the customer journey was laid out.

A thorough data analysis was carried out. We gathered insights on the number of, turnaround times and workload associated with each activity. Process mining gave us a swift analysis of all cases (a case being the selection process that each candidate goes through, 22,300 in total) and gave insights in the succession of each step, turnaround times and possible exceptions cases. The excellent visualisation and possibility to orderly display information via dashboard for each type of recruitment were additional advantages.

We gained the following insights:

The average time the recruiter spends to find a right candidate
Which type of vacancies usually resulted in an assessment and where in the process this assessment took place
Which selection steps excluded the most or least amount of candidates

Together with the taskforce we identified weak points, points of ambiguity and opportunities. We highlighted non-value added steps and imagined implementing digital tools. This allowed us to design a new recruitment and selection process that meets the future needs of the organisation on efficiency, digitalisation and satisfaction.

Results

By the end of this project we were able to present the following results:

An improved process for the future
Lower workload for the stakeholders at Proximus
Excellent service for the hiring manager
An outstanding experience for the candidate
A turnaround time shortened by 37%
A lower amount of stakeholders involved in the process, with clearly defined Roles and Responsibilities
Automation of non-value added tasks wherever possible, giving the ability to employees to focus on the value added tasks
Integration of digital innovation, such as AI-matching, digital testing and Robotic Process Automation
A dashboard visualising the results from process mining in an orderly fashion