Don’t Blame the Chatbots for Poor Customer Service

Chris Angus at 8×8 explains why you can’t blame chatbots for poor customer service.

The latest Institute of Customer Service research shows that customer satisfaction is down across nearly every main industry in the UK, with chatbots shouldering some of the blame—and that’s unfair.

The Institute of Customer Service’s UK Customer Satisfaction Index analysed customer satisfaction metrics across 281 companies in the UK. It’s disappointing to hear that consumer satisfaction has plunged to an eight-year low.

However, it’s important to not pin this on the introduction of chatbots and new technologies and instead see that contact centres are on a journey.

UK Customer Satisfaction Scores Broken Down by Sector

Jo Causon, the Institute’s CEO, says: “These latest figures are a clear signal that organisations need to view service as a strategic imperative.

Customers are demanding better service—sometimes that means tech that works and enables rapid self-service for transactional matters and other times this necessitates talking to a well-trained and empowered human.”

Poor Use and Understanding of the Technology

In some ways it’s not a surprise to see a step backwards. The catalyst here is the sub-optimal utilisation of contact centre technology, not just the emerging tech like artificial intelligence and bots.

Anything that has high degrees of complexity can have a negative impact if it isn’t implemented correctly.

The key to AI success, like with any sort of major software adoption, is ensuring that contact centres start at the right level.

Rather than leap ahead, they should take a step back and implement appropriate and relevant customer service use cases.

This will give the AI technology a platform to learn from, and from there, businesses can start developing it.

Chatbots Keep Your Company at the Forefront of Customer Satisfaction

AI plays a fundamental role in improving customer satisfaction—but it needs to be done right. Our research recently found that 41% of IT leaders believe companies will fall behind if they don’t adopt conversational AI capabilities.

AI chatbots allow contact centres to serve more customers with the headcount they have in place. They also make typically repetitive job roles more interesting.

AI can fulfill mundane duties and allow employees to take on the more challenging tasks and roles, which will in turn help to attract and retain talent, while servicing more customers more consistently.

What Should Companies Look for in a Chatbot?

As with any implementation of technology, the first thing anyone should know is what their end goal looks like. It’s not enough to say ‘we want a chatbot’; you need to know exactly:

• what that chatbot will be doing
• how many enquiries it may be dealing with
• what data it will have access to
• how good your existing systems are for integration
• how long you have for testing
• and so on.

Good chatbot implementation starts with a lot of questions.

Once you have an idea of what you want the chatbot to do and how it’s going to engage, it’s then all about training it.

For the best models these days, it’s probably going to involve conversational AI and a Large Language Model (LLM).

With these, you have to start small and build up. Start with your five most common questions and train it from there. Don’t try to do everything at once.

A Chatbot is Not There to Replace a Human

People also need to remember that a chatbot isn’t there to replace humans. It’s there to make for better customer experiences and improved employee experience.

It can provide fast answers to routine questions, allowing human agents to deal with the more challenging issues.

This is a win for everyone because the chatbot quickly deals with the general questions (and the customer gets quick answers) while the human agents deal with more complex matters—and hopefully resolve them to the caller’s satisfaction.

That can be painful for some people to hear, as many IT directors and CFOs think chatbots will let them reduce costs in the contact centre.

The truth is that the last thing the customer wants is to have no human being to talk to when they experience self-service friction.

Around 89% of consumers say they appreciate customer service chatbots for quick answers, but 55% say that being able to get to a human agent, particularly one that’s aware of what they’d communicated to the chatbot, is one of the most important aspects for them in a customer support experience.

At 8×8 last year, we spoke with a global vice president of support whose organisation saved more than one million dollars a year while improving customer satisfaction by 20%.

He said: “You can’t go at AI and automation projects with making cutting costs and cutting jobs your number one goal. If you do, you’re going to cut customer satisfaction, too.

But if you approach AI and automation with a holistic view and look at what the customer needs and how it can complement people and processes, you can very likely have it all.”

In summary, it comes down to:

• Listen to what the customer needs. With the recent fervour around AI, contact centre and IT leaders need to remember to focus on the customer first, and then the technology. Ask “what do my customers actually need?” not just “what can this technology do?”
• Define how AI can complement both people and processes. Think about how conversational AI and Generative AI can add to current successful processes, versus replacing them or people.
• Understand what insights are needed to be effective and to improve. Methods and metrics matter. Take time to truly understand the customer and pain points in their journey and what kinds of insights and measurements you’ll need to help your organisation be effective and to understand what’s working or not working.

This blog post has been re-published by kind permission of 8x8 – View the Original Article

For more information about 8x8 - visit the 8x8 Website

Call Centre Helper is not responsible for the content of these guest blog posts. The opinions expressed in this article are those of the author, and do not necessarily reflect those of Call Centre Helper.