The South African Social Security Agency (SASSA) is intensifying efforts to improve service delivery and reduce long queues at its local offices across the country.
As part of its 2025–2030 strategic plan, the agency has launched a national training programme aimed at standardising its Queue Management System and improving operational efficiency in frontline offices.
SASSA spokesperson Andile Tshona said the initiative is designed to reduce waiting times, ease congestion and improve service delivery through better use of digital tools and improved prioritisation systems.
“SASSA’s drive to invest in and strengthen innovations such as the Queue Management System represents a significant step forward in improving service delivery and client experience within its offices. To this end, SASSA is rolling out training to approximately 1,000 local office management teams to respond to operational challenges such as long waiting times, congestion, inconsistent queue handling, avoidable repeat visits, and better utilisation of available digital and management tools,” Tshona said.
He added that the system is aimed at improving the full client experience, not just managing queues.
“The Queue Management System is not simply about organising queues. It is about improving the entire customer journey from the moment clients arrive at our offices until they receive the service they need. We want beneficiaries to experience a service environment that is organised, efficient, fair and dignified,” he said.
The implementation of the system is expected to address recurring challenges such as overcrowding, long waiting times, repeat visits, and inefficient queue handling practices.
It will also introduce real-time performance monitoring through digital dashboards, allowing managers to track service bottlenecks, allocate resources more effectively, and implement corrective measures where needed.
SASSA said the revised approach places beneficiaries at the centre of service delivery by ensuring clients are assisted appropriately rather than turned away due to incomplete documentation.
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