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  • Writer's picturePhilip Smith

Unveiling the Pervasive Challenge of Long Queue Times in Customer Service

In the ever-evolving landscape of customer service, where every interaction shapes the overall customer journey, queue times have emerged as a critical factor influencing customer experiences. The frustration associated with prolonged wait times is a common woe voiced by customers across various industries. Let's delve into the insights derived from a recent study commissioned by ContactBabel, shedding light on the prevalence of this issue and its implications on customer satisfaction and business performance.


The Waiting Game: An All-Too-Common Struggle

Unsurprisingly, one of the most frequently reported customer concerns revolves around queue times and the speed at which their calls are answered. A notable finding is that older customers, particularly those aged over 55, tend to experience longer queue times more frequently. This pattern highlights a challenge that transcends generational boundaries.

However, what's truly noteworthy is that customer perceptions are not unfounded. Industry statistics align with their experiences, affirming the reality of prolonged wait times. The graph showcasing data on customer-reported queue times by age groups reveals a trend that is too substantial to be ignored.




Amidst these revelations, an intriguing question surfaces: Can companies realistically encounter consistently high call volumes day in and day out? Surely, this level of abnormality in call traffic cannot be a perpetual norm. In which case one should ask, why do most services announce this when we call them for support?


Connecting Speed to Answer with the Bigger Picture

The time it takes to answer a call – the speed to answer – plays a pivotal role in enhancing or detracting from the customer experience. It also directly affects other performance metrics, such as call abandonment rate. Naturally, the longer customers wait in a queue, the more likely they are to abandon the call, frustrated by the delay. Some companies still use vanity metrics to hide this issue, concluding that they must have solved the issue because it never reached an agent.


Examining historical data on average speed to answer and call abandonment rates over the years, we notice a gradual increase in the time taken to answer calls since 2009. Interestingly, 2020 and 2021 witnessed significant spikes, attributed to pandemic-induced changes in working practices and heightened demand. This trend persisted even in 2022, despite a semblance of normality returning to many industries.


This empirical evidence underscores a critical point: Customers aren't exaggerating when they complain about prolonged queue times. Some sectors, notably utilities, public services, and housing, are grappling with exceptionally lengthy queues, necessitating immediate attention.


A Call to Action

The undeniable reality of extended queue times calls for proactive strategies to address this issue. As businesses strive to deliver exceptional customer experiences, a focus on improving queue times emerges as a crucial area of enhancement. Integrating advanced technologies, optimising workforce allocation, and streamlining call center operations are steps that can lead to more efficient and satisfactory interactions.


In conclusion, the struggle of prolonged queue times is a collective challenge faced by both customers and businesses. Recognising the impact of extended wait times on customer satisfaction and overall performance is the first step towards forging a path of improvement.


By acknowledging the significance of this issue and taking concerted actions, businesses can transform this challenge into an opportunity to create memorable, efficient, and customer-centric interactions. This does not mean hiring more people, it means taking a holistic look at the data, removing the vanity metrics and introducing the right technologies to the right services.


There is a huge opportunity here for Generative AI, however it isn't the silver bullet many are touting it to be - organisations will actually have to do the work to simplify backend process, remove technical debt and coach their people before any real ground is gained. Not doing so will only succeed in adding another layer of complexity to an already creaking system.

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