The Challenge
A well-known local hiring firm was hired to find the next MD of a large utilites company. The applicants were from a wide range of backgrounds and demographics. Across several weeks of hiring, over 15 interview panels and hunderes of applicants, the process was required to be transparent and free from any bias.
Some Context
In case youve never applied for a role in Kenya, you would be aware of the culture of ‘kujua mtu’ esopecially for large companies. Removing bias without stepping on toes or risking embrassment is hard to avoid. Here is where data analytics can come in, remving bias while providing an anyltical output devoid of influence
Our Solution
We implemented a custom reveiw process at the end of the interviews with all the panelist present. We began by going through the data, starting with the outliers i.e individuals with extreemly high or low scores, to see if the scores were vald.
The Result
Sucessfull hiring from the best poll of candidates, from a process devoid of outside influence or internal bias.
