5 tips to optimize average speed of answer and wait time

By Filipa Silva
0 min read

Learn how to achieve the best business results by optimizing the average speed of answer and call average wait times.
What is average speed of answer and average wait time?
Average speed of answer (ASA)– as an agent’s performance metric– shows the average time it takes for agents to answer an inbound call. This includes the time the agent’s phone rings but excludes the time the caller spent in the queue or interacting with an IVR.
Average speed of answer provides contact center managers with information about whether agents have the necessary setup and tools to reach the best performance levels. A low ASA means that customers reach agents in less time and find a solution faster.
Average wait time (AWT) measures the time a caller was waiting, including queue time. Adding queue time and ringing time to average speed of answer (ASA), you will have the AWT or the total time a caller spends waiting until being answered by an agent.
What does it mean to your contact center?
Instead of solely focusing on improving the ring time (ASA), you need to focus on improving the overall average wait time. When looking at AWT, you need to critically evaluate the impact of driving this metric up and down. Like many other contact center KPIs, AWT doesn’t live alone and needs further contextualization with other metrics, such as average abandonment rate (AAR) and first call resolution (FCR).
For example, reducing the AWT might seem like a good strategy, but it may impact FCR rates as agents rush through calls to increase the number of handled calls.
If you already have a low AWT and a high FCR but are still experiencing a high AAR, it might indicate highly demanding customers for an understaffed contact center or lack of self-service options.
Ultimately, your contact center may be positioned in different stages that you need to closely assess first. Follow the matrix below as a guide to help you make informed optimization decisions to drive higher customer satisfaction (CSAT), cost savings, and operational efficiency.
How to optimize your contact center average wait time?
AWT is a key indicator of the performance of your contact center. Follow the tips below to ensure its ideal level.
1. Optimize staffing and scheduling while reducing administrative work.
Inadequate staffing is one root source of increased AWT. Still, most contact centers rely on outdated WFM systems that require heavy administrative work and ad-hoc analysis, lacking the needed flexibility for unexpected events. For example, one factor that highly contributes to the increase of AWT is unexpected spikes of inbound calls. It could mean your contact center will not be able to respond promptly to this increased demand, as calls forecast are no longer reliable.
Next-generation of Workforce Management tools rely on AI and automation, combining powerful artificial intelligence and automation to help you optimize staffing and scheduling decisions, reducing administrative effort. Additionally, by relying on AI, these tools effectively anticipate customer demand and plan more effectively with accurate, omnichannel forecasts based on historical and real-time data, while making it easy to manually edit forecasts and intraday adjustments. Through a real-time comparison of call predictions versus actual real-time data and with an analysis of adherence by activity and agent, you can quickly identify broken processes or the reasons for targets not being met.
While providing another layer of intelligence, these tools can optimize schedules by automatically accounting for agent skills and scheduling rules, giving you the best options for each time period.
An adequately staffed contact center prepared to handle the predicted volume of incoming calls, with room for unpredictability, will be more efficient in answering calls and reducing the AWT.

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