What is the average speed of answer (ASA)?
Average Speed of Answer (ASA) is a contact center metric that measures the average amount of time a customer waits in the queue before an agent picks up their call. It is one of the most closely watched service level indicators in the industry.
ASA = Total Wait Time of Answered Calls / Total Number of Answered Calls
For example, if 200 calls were answered in an hour with a combined wait time of 1,000 seconds, the ASA for that hour is 5 seconds. While this looks simple on the surface, ASA carries enormous weight in contact center performance management, because it reflects how well staffing levels are aligned to incoming demand in real time.
Why does the average speed of answer matter?
ASA is not just an operational number; it is a direct reflection of customer experience. When customers wait too long, frustration builds before the conversation has even started. Agents then spend the first portion of every call managing irritation rather than solving problems, which affects handle time, resolution rates, and overall satisfaction scores.
Here is what a high ASA typically signals:
- Understaffing: There are not enough agents available to handle the volume of incoming contacts during that interval.
- High call volumes: An unexpected spike in call arrival rates is overwhelming available capacity.
- Inefficient routing: Calls are not being distributed to available agents quickly enough due to poor call center management or routing logic.
- High shrinkage: Too many agents are off the floor due to breaks, training, or administrative tasks, which directly increases queue wait times and connects to call center shrinkage management.
Conversely, a very low ASA is not always a sign of success. If ASA is near zero but your service levels are being met at the cost of severe overstaffing, your cost-per-contact will be unsustainably high.
What is a good ASA benchmark?
Industry benchmarks for ASA vary by sector, channel, and customer expectations. However, the most widely cited standard across contact centers is 28 seconds or less. Many high-performing operations aim for under 20 seconds, especially in industries where urgency is high, such as healthcare, financial services, and emergency support.
It is important to note that ASA should always be read alongside other call center metrics rather than in isolation. A low ASA paired with poor First Call Resolution or low CSAT scores may indicate that calls are being answered quickly but not handled effectively.
ASA vs. service level: understanding the difference
ASA and service level are related but distinct metrics. Service level measures the percentage of calls answered within a specific time threshold, for example, 80% of calls answered within 20 seconds. ASA gives you the average wait time across all answered calls.
A contact center can have a healthy service level percentage while still having a high ASA if a significant portion of calls wait far longer than the threshold. Tracking both together through contact center reporting gives a much fuller picture of queue performance than either metric alone.
How to improve the average speed of answering
Reducing ASA without compromising quality or inflating costs requires a structured approach. The most effective levers include:
- Accurate volume forecasting: Using historical arrival rate data to predict when demand will peak and staffing accordingly through robust call center scheduling.
- Optimized routing logic: Ensuring calls reach the right agent the first time rather than bouncing between queues or skill groups.
- Reducing average handle time: When agents resolve calls faster through better training and tools, they become available sooner, which directly reduces wait times for the next caller.
- Real-time monitoring: Supervisors who monitor call center performance in real time can respond to queue buildup immediately rather than discovering the problem after the fact.
- Self-service options: Deflecting routine inquiries to IVR, chatbots, or knowledge bases reduces the volume entering agent queues without reducing the quality of service for more complex contacts.
ASA and agent performance
ASA is ultimately a team-level metric, but its root causes often live at the agent level. If a subset of agents consistently has longer handle times, their calls take longer to complete, which means they are unavailable to take the next call in the queue for longer periods. This compounds across the team and push ASA upward.
Tracking ASA alongside individual agent scorecards and handle time data helps managers pinpoint whether a high ASA is a staffing problem, a routing problem, or a skills and efficiency problem, and respond with the right solution rather than defaulting to hiring more agents.
Improve your ASA with Enthu.AI
Enthu.AI gives contact center leaders the visibility they need to understand what is driving queue wait times and where to act. From real-time performance dashboards to AI-powered quality monitoring across 100% of calls, Enthu.AI connects the dots between agent behavior, call handling efficiency, and the service levels your customers experience.
Book a free demo and start building a contact center where customers spend less time waiting and more time being helped.