A supervisor escalation, sometimes referred to as a call escalation or call center escalation, is when a caller requests to speak to a supervisor for resolution.
Supervisor escalation is measured through supervisor escalation rate, which is the percentage of total calls that are transferred to a supervisor. The industry benchmark for supervisor escalation rate is <10%.
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Supervisor escalations can be caused by a number of things, some of them outside of an agent’s control. Causes of call escalations include:
The truth is, in most cases, a supervisor ends up with the same resolution for the customer’s query that the agent would’ve provided. In fact, it’s estimated that 85% of escalations could have been resolved with the initial phone rep. So managing and reducing supervisor escalations is key to contact center efficiently and can result in a big impact if ignored.
Reducing supervisor escalations is important because they:
Whenever supervisors are brought on to speak with a customer due to an escalation, they’re diverted from strategic tasks, including agent coaching, process improvement, and call analysis. That means less time is left to develop targeted training programs and identify organization-wide inefficiencies.
Whether or not it’s in an agent’s control, supervisor escalations negatively affect overall CX and CSAT. Important contact center KPIs like First Call Resolution (FCR) and Average Handle Time (AHT) are directly related to supervisor escalations, and if those KPIs dip, supervisor escalations will most likely rise, and with it, customer dissatisfaction.
Supervisor escalation rate strongly influences agent effectiveness, CX, and CSAT, but there are a number of steps organizations can take to reduce them.
At the beginning of this blog post, we outlined all the general causes of a supervisor escalation. Many of those causes can be resolved, or at least reduced, by understanding the underlying issue at hand. And that’s where Voice AI comes into play - allowing teams to monitor 100% of calls, identify supervisor escalations, and uncover the cause.
Take operational efficiencies. Voice AI can identify what inefficiency or gap is causing a supervisor escalation, and reduce them across the organization.
For example, if agents are unable to process a certain type of request to resolve an issue, and always require supervisor approval, escalations are naturally going to be higher. By identifying what those types of requests are and alleviating the agent restriction, supervisor escalations will come down. But it's crucial to analyze call escalation drivers across 100% of calls, not just a small sample.
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A dynamic Internal Knowledge Base (IKB) is a crucial self-service resource for agents in contact centers. The IKB must be easy to access and search, and seamlessly deliver useful information to resolve cases. Just as important as the agent UX is the consistent and intelligent maintenance of the IKB by supervisors and managers so content is kept up-to-date.
The key to reducing supervisor escalations is using insights from 100% of voice calls, determining what new, targeted content to include in the IKB. Even better, include snippets of calls and moments so agents can hear two different approaches to handling the same escalation.
For a deeper dive into KPIs, check out our Voice AI Use Cases Reference Guide, pairing use cases with call center KPIs and interactions.
First call resolution (FCR) goes hand in hand with supervisor escalations. By enabling agents to improve through tailored, data-driven training, they’ll be more equipped to resolve customer queries on the first call. In turn, this will bring down supervisor escalations. Important contact center KPIs that influence FCR and supervisor escalations include:
There are a number of strategies for reducing call escalations, but creating high-impact training programs are key.
When it comes to customer experience, focusing on training agents on methods for reducing escalations is key. Conversationally, this includes agents laying out multiple options, empathy, and critical listening. From an operational standpoint, this could be providing tools and permissions for de escalation. This might include giving the agent the flexibility to offer coupons, promo codes, or to make exceptions in certain cases.
On the horizon for contact center technology is real time support and agent augmentation. That means providing agents with live assistance from managers who are alerted when an escalation is taking place. Or, enabling an AI service to suggest a next next course of action that the agent can take to resolve the escalation swiftly.
These opportunities will significantly reduce the volume of escalations and time spent handling them by quickly getting agents the help they need to resolve customer queries. It will also improve consistency, which is important when trying to maintain a strong brand.
End-to-end quality management is the key to bringing it down. Check out our guide on using AI to Reinvent Quality Management in the Call Center. In it we provide actionable insights and best practices from industry leaders, including approaches that will help you improve call center KPIs, including supervisor escalations.
And if you're dealing with a massive surge in call center queries, download our Playbook to Handling Call Center Surges Like a Pro, which includes tactics on creating an Incident Response Plan for better preparing agents to handle high call volumes.
Joe Hanson leads content marketing at Observe.AI. Want to guest blog? Or maybe you have some expertise you want to share? Connect with him on LinkedIn.
