UX Design for Chatbots

If you look at the market and business trends, Chatbots are available on almost every list. All the big businesses and brands are leveraging chatbots. On the other hand, small brands are planning to have one for their business.

Experts say that chatbots are going to cover about 85% of customer service related interactions in the coming years. However, the popularity has also increased the demand for a quality experience. Hence, businesses can’t compromise the UX design of their bots in any manner.

Sure the functionality of the bots matters a lot, but it is the user experience of the design that brings customers again and again.

Here, in this article, you will find the most valuable UX guidelines to create an impressive chatbot for your business.

1. Make it easy to understand

The initial impression matters the most in your chatbot design. The users should be able to understand the functions and the processes of the chatbot very easily. Only then, you can expect them to come back for further interactions.

So, make sure you include exciting and helpful elements in the onboarding process of the chatbot. This will make the design more impressive for the users.

2. Add elements to maintain the conversational flow

Many times, the users don’t realize that they are interacting with a chatbot. So, if the bot does not maintain a conversational flow, the users might leave and never come back.

To avoid this, it is important to add elements that can help you maintain a conversational flow. A chatbot can ask pre-defined questions or present suggestions to the user. These elements in the design help out the user throughout the conversation. Some of the advanced chat platforms such as Facebook Messenger and Kik leverage such elements in their chat methods. These platforms offer regular response suggestions during an ongoing conversation, which helps the users.

3. Give it a consistent personality

The personality of the chatbot is probably the most important UX design component. The goals should be to attain consistency. Plus, the bot should sound friendly during the conversation.

To achieve that, you need to focus on providing clear diction capacity and simple language to the chatbot. Use a vocabulary that is generally used in the common language. This will make the conversations more smooth and friendly.

4. Prepare chatbot for anticipated issues

A conversation between a human and a chatbot presents some difficulties. Sometimes, a user might ask an invalid question or a query, which won’t allow the Chabot to answer. However, that should not stop the conversation. Your design should get the user on the right track for the conversations to flow. For that, you can include polite reminders of the purpose of the bot. The bot can provide suggestions and tips to help the user ask the right questions and queries. This way, the conversation won’t end in the middle.

So, in this way a good UX can help you create an impressive chatbot and also create immersive user experiences for your customers.

Natural Language Processing tools for Chatbots

Language understanding tools have the capacity to make chatbots smarter. These tools are designed to enhance the communication capabilities of the chatbots. The ability to understand the sentiment, create an automatic summary and find a relationship between the topics. All these abilities can make your chatbot much more effective for the users.

Here are 5 NLP tool choices that can help your chatbot deliver high impact performance in customer servicing.

1. LUIS

Microsoft offers cognitive services to provide language intelligence and other capabilities. The LUIS or Language Understanding Intelligence Service offers high-quality models that help chatbots understand various entities and intents. The availability of the models related to times, places and others enhance the performance of chatbot. The users can get much better experience, as an active understanding of the language is used.

The tool is compatible with various platforms such as KiK, Slack, Facebook Messenger, Skype, SMS, and others. You can get both free as well as paid versions of the tool.

2. RASA NLU

When you are looking for an open source method of classifying the intent, RASA NLU is your answer. The tool offers a complete set of APIs that make entity extraction highly convenient for the chatbot.The libraries come along with the tool that enhances the capacity of any bot. The corporate sectors like health, insurance, travels, telecoms and banks get the maximum advantage of this tool.

The tool is available for free and works on platforms such as Facebook Messenger, Telegram, SMS, Skype, Line, and others. This is why the tool has gained an incredible level of popularity in multiple sectors.

3. Amazon Lex

The tool can provide high-quality language capabilities to your mobile applications. The specific properties include natural language recognition and speech recognition too. Hence, the chatbot can provide both text and voice experience to the users.

This will improve the ability of the bot to assist and help the users conducting various tasks such as placing orders, opening an account, making bookings, and others. The tool offers a simple console, which makes the processes much more convenient for the chatbot.

4. API AI

Known as one of the most trustworthy language understanding tools, API AI makes brand specific interactions easier. The businesses can leverage this tool to create bots that can provide multiple services to the users.

The conversational interface with this tool takes not much effort. Plus, the powerful features of the tool allow the bots to answer highly complex questions asked by the users. The bots get to leverage the stored knowledge along with the machine learning. Hence, the bot learns and gets better.

Some other valuable features include multilingual interactions, cross-platform support, easy integrations and others.

5. ChatScript

ChatScript allows you to create a script for the dialog conducted by the chatbot. The tool uses the scripting rules to create extensive texts. Plus, it scans documents, memorizes old interactions and manages a large volume of users.

All the mentioned tools have their own set of properties. You can add these tools and enhance the capabilities of your chatbot.