Introduction to AI in UX:
Chatbots for customer support

Chatbots powered by artificial intelligence (AI) have emerged as game-changers in the realm of customer support and are transforming the way businesses engage with their customers.

Although chatbots are nothing new, due to the rise of AI, they more frequently emerged in conversations between businesses and their UX team. With their ability to automate interactions, provide instant responses to questions, and deliver personalised assistance, chatbots are reshaping the digital product landscape. These intelligent virtual assistants offer the opportunity to provide round-the-clock support, enhance response times, and ensure consistent and accurate interactions, one conversation at a time. Don’t be fooled in thinking this is the answer to all customer support problems, in fact 90% of people prefer to get customer service from a human rather than a chatbot (Source : SurveyMonkey 25 stats about AI in customer experience that show how consumers really feel) but that doesn’t mean that chatbots cant be more relevant and accepted in the future, if they become more human-like.


– The benefits of using chatbots for customer support
– How AI technologies enable chatbots to understand and respond to user queries
– Examples of successful implementations of chatbots
– Best practices for designing and implementing chatbots

Through natural language processing (NLP) and machine learning, chatbots understand and respond effectively to user queries and can quickly provide personalised support. Successful implementations in various industries, such as banking, e-commerce, and travel, demonstrate the power of chatbots. Banking has had a huge uplift in implementing chatbots over the past few years, and some are on their way to becoming very helpful indeed. More and more customers would prefer to solve their support issues within their banking app itself, as opposed to picking up the phone.

Again, it’s important to mention that AI will not solve all problems. There still needs to be a team behind the strategy and design to ensure the chatbots remain valued, adhere to the brand, and don’t end up annoying users. To implement chatbots effectively, businesses should define clear objectives, design conversational user interfaces, provide seamless escalation to human agents, regularly update and improve the chatbots, and maintain a human touch in customer interactions.

The benefits of using chatbots for customer support

Implementing chatbots for customer support offers several benefits for businesses and customers alike. Here a a few things to look out for.


24/7 availability

Chatbots offer the advantage of providing 24/7 support, ensuring that customers can receive assistance at any time, even outside of business hours. This round-the-clock availability enhances customer satisfaction by providing timely and convenient support whenever it is needed, usually at the click of a button.


Improved response time

Chatbots have the ability to handle multiple customer inquiries simultaneously. This allows for faster response times and reduces customer wait times, improving overall customer satisfaction.


Cost efficiency

By having the ability to handle a large volume of inquiries simultaneously, reduces the need for dedicated customer support agents which helps businesses lower their operational costs. For businesses that are in the startup phase chatbots can be a valued tool when you are juggling many things at once. Saving budget for developing more product features, or working on a marketing plan may be a better use of the budget.



Offering consistent and accurate responses to ensure that customers receive reliable assistance regardless of the time or channel they use to contact the business. By leveraging chatbots, businesses can maintain a high level of customer service and create positive experiences for their customers, especially if the chatbot stays on brand and feels like an extension of the team.



Chatbots offer excellent scalability as they can handle a large number of user interactions without the need for additional manpower. This scalability is particularly advantageous for startups and rapidly expanding businesses.

How AI technologies enable chatbots to understand and respond to user queries

So how does it actually work? Put simply, technologies such as natural language processing (NLP) and machine learning, enable chatbots to understand and respond to user queries effectively.

Natural language processing (NLP)

NLP allows chatbots to understand and interpret human language. It enables chatbots to analyse the context, intent, and sentiment of user queries, providing more accurate and relevant responses. As NLP advances, we will see a more human element in response. Although slang and context may be a difficult thing for AI to overcome, from what we can see things will only get more accurate due to machine learning.

Machine learning

Chatbots can be trained using machine learning algorithms to improve their understanding and response capabilities over time. By analysing a vast amount of data, including past customer interactions and feedback, chatbots can learn and adapt to provide more personalised and context-aware responses.

Examples of successful implementations of chatbots

By leveraging the power of artificial intelligence and natural language processing organisations have been able to revolutionise their customer service operations. As a result, businesses have not only witnessed an increase in customer loyalty and retention but have also been able to streamline their support processes and allocate resources more efficiently. The successful implementation of chatbots has proven to be a game-changer for businesses.


One example of a bank that has successfully leveraged chatbots for customer support is CommBank. CommBank has implemented chatbots to provide instant support for account inquiries, transaction history, and general banking information. Customers can quickly get answers to their questions without waiting for assistance from a human agent. This implementation has improved response times and enhanced customer satisfaction.


By introducing an AI Sales Chatbot, e-commerce platforms like Shopify recommend products, answers questions, and guides shoppers to their goals, ultimately increasing conversions across the board.

Travel & hospitality

Airbnb has utilised chatbots to assist customers with inquiries related to bookings, travel information, and local recommendations. These chatbots provide real-time assistance, making travel planning more convenient for Airbnb users. The fast response time and constant availability boost customer satisfaction and significantly improve ratings.

Best practices for designing and implementing chatbots into UX

Set clear objectives

To effectively implement chatbots in UX, it is important to clearly define the goals and objectives of their implementation. This involves determining how chatbots can enhance the user experience and effectively meet the needs of users. By setting specific and measurable goals, such as improving response times, increasing customer satisfaction, or providing 24/7 support, businesses can ensure that the implementation of chatbots aligns with their overall UX strategy.

Design conversational user interfaces

To design effective chatbots, it is important to create conversational user interfaces that are user-friendly and intuitive. Chatbots should be designed in a way that feels like a natural conversation, making users feel heard and understood. By incorporating these elements into the design of chatbots, businesses can provide efficient and effective customer support while maintaining a human-like touch.


Provide seamless escalation to human agents

To ensure a smooth user experience, it is important to incorporate a seamless escalation process in the chatbot design. This process allows for the transfer of users to human agents when necessary, especially for handling complex or sensitive user queries. This approach not only enhances customer satisfaction but also instills confidence in the user that their concerns are being addressed by a knowledgeable and empathetic human representative.


Regularly update and improve chatbots

To continuously improve and update chatbots, it is important to gather user feedback and keep up with evolving user needs. Regularly testing and optimising chatbots based on this feedback will help to enhance their performance and deliver better customer experiences.


Maintain a human touch in interactions

While chatbots provide automated support, it is important to maintain a human touch in interactions. Incorporate personalisation and empathy in chatbot responses to create a more engaging and human-like experience. By adding a personal touch to chatbot interactions, businesses can create a sense of connection with customers, making them feel understood and valued. This can be achieved through using conversational language, providing relevant and helpful responses, and even injecting a bit of humor when appropriate.

Remember, the goal is not to replace human interaction, but to enhance it with the efficiency and availability of chatbots. So, strike a balance between automation and the human touch to create a truly engaging and satisfying customer support experience.

By following these best practices, businesses can effectively leverage chatbots in UX design to provide enhanced user support and improve overall user satisfaction.

read more

✨ Introduction to AI in UX

🙍‍♀️ AI-Powered Personalisation

💬 Chatbots for Customer Support

🤖 Machine Learning for User Behavior Analysis

⚡ Future Trends and Advancements in AI


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