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Efficiency evaluation for 13,000 employees nominated to join the Federal Government through electronic Employee Efficiency Project

Sunday July 21, 2019

The Federal Authority for Government Human Resources (FAHR) announced that 13,000 Federal Government employees were subject to efficiency evaluation using Employee Efficiency Project operated through the Federal Government's HR Management Information System (BAYANATI), since the project’s launch in April 2018 until the end of June.

Shaimaa Al Awadhi, Director of Human Resources Information System at the Authority said that the Employee Efficiency Project is one of the strategic initiatives of the Authority implemented through BAYANATI. She noted that the project had contributed significantly to the development of recruitment policy in the Federal Government by matching candidates’ qualifications with job  requirements according to job description card, as well as automating the evaluation of candidates against vacancies available in the Federal Government, thus enabling federal entities operating BAYANATI System to recruit the best talent and follow up employment indicators timely according to approved plans.

She said: “Employee Efficiency feature is currently operational in all  federal bodies adopting BAYANATI System, and that it will not have any operational burdens or additional tasks for employees in the ministries and federal bodies. I addition, the idea of the project is to ensure suitability of candidates for vacant positions in the Federal Government jobs, as it identifies a set of criteria and requirements that must be met by applicants for different types of jobs, including: academic qualification, previous experience, responsibilities, etc, with a weight for each of these criteria.

“The project’s mechanism of work requires human resources departments in the ministries and federal bodies to enter data of candidates and requirements for the job electronically in the electronic system of the project through "BAYANATI" System, along with the certificates and documents of the candidate, for the system to match the inputs with the requirements and criteria of the specific job and job description, and then determine the most appropriate candidates for each from among those who get 80% or more according to the criteria.”

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