Best Chatbot Flow Example, Learn How To Build Your Bot In The Right Way

A chatbot is a software that can have conversations with humans and is either pre-programmed or guided by AI. These conversations are frequently text-based, but they can also be vocalized across conversational interfaces. When you build a chatbot one of the most important things to do is to create a chatbot flow that engages the user and leads him to perform the actions you have set. This is why we created this article on the chatbot flow example.

The conversation could be as simple as directing them towards your product page. Or it could be as smart as helping them find the right product, record their preferences, or change their reservations. 

Chatbots have gained popularity in recent years due to their potential to relieve the stress of time-consuming business activities. There are more advantages than ever before adding a bot to your Facebook page to respond appropriately to customers faster and provide them with high-quality service.

The effortless succession of thoughts and answers in a conversation is referred to as conversation flow. A natural exchange of invitation and inspiration to converse takes place, resulting in a seamless and relaxed experience.

Unless, of course, you’re a chatbot. Or you’re socially inept. Then your communication skills could need some TLC.

Writing a flowing script is a vital aspect of the design process when making a chatbot. People are used to the advanced speech styles of digital assistants like Siri and Alexa, and customer polls indicate that people expect bots to have human-level conversational skills – from intellect to humor.

If you need a customer support AI chatbot for eCommerce using an NLP tutorial, Xenioo has a ready-to-use solution for you! With Xenioo, businesses get a ready-to-use tech solution for consumer engagement, complete with an intuitive UI and chatbot flow examples.

Machine Learning Chatbots and NLP

Machine learning chatbots are chatbots that use machine learning and natural language processing (NLP) to provide a better chatbot experience for the user. They are widely used in healthcare support chatbots developed by medical institutions to inform users about their different health issues. Machine learning chatbots are typically designed for companies with more complicated use cases.

They improve over time as they learn new information and store it in their database. Machine learning chatbots can be programmed to understand specific keywords and then lead users to the support they need using NLP. Machine learning chatbots are more challenging to develop and manage. It necessitates significant business investment, but they are extremely beneficial in the long run because they automatically improve their algorithm and improve with use.

Businesses interested in implementing chatbot technology may want to know the best practices and tactics for creating a bot that fits their needs.

Here are the top chatbot best practices for chatbot conversation flow example creating and effectively deploying them.

1. Define Your Chatbots’ Role

One of the best practices for developing a chatbot is to clearly define your objectives before you begin. Using the chatbot, you can better consider the requests or concerns that your customers might have.

What would the target demographic do with it? Fast activities like monitoring the progress of a shipment or long-term targets like health tracking?

What is the primary goal of creating a chatbot? Is it for lead generation, marketing, or customer service?

Who is your target demographic? Are they the new visitors, existing visitors, or returning visitors?

Chatbots are capable of completing complex tasks with ease. Bots may gather valuable information from users and deliver a relevant, practical service to consumers thanks to the conversational design flow.

2. Focus on UI/UX for a Pleasant Experience

To add significant value, it is critical to building the bot flow with the customer in mind. The key goal is to minimize customer time and have a better experience by using simple messaging. Your chatbot should be able to engage guests with simple responses and solutions throughout the conversation.

You must ensure that any potential user request is protected by a part of your chatbot’s logic and that the user is not stacked at every point when creating a dialog tree. With the support of different actions, you can turn the scenarios into small steps known as nodes and create the bot flow. You need to do the following steps:

  • Greeting with a warm welcome
  • Collecting visitor information
  • Providing different options as per the user request

Pro-tips to make your chatbot flow conversational:

  • Make the flow more immersive by using graphics such as animations, emojis, and gifs.
  • Conversational bots can help you reduce friction. They have more transparent conversations, a better understanding of the customers’ interests, and more useful data collection.
  • Give your consumers a way to communicate with a human operator. To stop a dead-end, leave the opportunity to contact a human agent if you think you may have missed something.

3. Tailor Your Chatbots’ Personality

A chatbot is an additional method of interaction between your potential consumer and your brand. As a result, this experience must be compatible with the rest of your brand’s aesthetic.

Since the bot would use dialogue in addition to the visual interface, personality and tone of voice are extremely critical when creating a chatbot. In this case, the tone of voice you use should be consistent with the brand’s communication style as well as your target audience’s preferences.

Chatbot personality helps users visualize the end goal and how the bot can interact by using different languages, tones, and styles. Adding personality to your chatbot makes it more real and important to your customers.

Xenioo provides users with an example of chatbot dialog flow models. Simply choose the best option fitting your needs and clone it into a new chatbot that you can configure as needed. You can use our ready-to-use chatbot examples to assist your company in increasing orders, acquiring leads, collecting reviews, and providing real-time customer service.

How to build a chatbot with dialogue flow? For the answer, you can visit https://www.xenioo.com/chatbot-examples/ and see for yourself each chatbot flow example that Xenioo provides you to start to build your own. Xenioo flow editor is the easiest on the market.

4. Provide Customers with an Escape Route

Make sure the chatbot is an additional feature, with consumers still having the option to speak with a live representative. ‘Hey, I’m a chatbot who’s still learning,’ for example. ‘To turn to a live agent at any moment, simply say ‘Agent please.’’

If the bot is unable to provide a high-confidence response, this would say something like, ‘I’m not 100 percent sure about the answer here; should I move you to a live agent?’

Your customers won’t be disappointed with your channel, take that belief away. Additionally, make sure that when a handover occurs, the bot gives the background and previous chat details to the actual live representative, so the customer isn’t expected to justify it all over again.

5. Don’t Build a Chatbot with Technology in Mind

Choosing which workflows to automate should be a mechanism that is independent of technology and provider. At the risk of sounding like a broken record, your primary emphasis should be on providing value to the consumer. The solution would then emerge as a result of this.

It’s time to start reviewing suppliers and tech applications until you have a consistent course of action. However, regardless of past decisions or existing software selection, the first move should not be skipped for good chatbot conversation flow.

6. Set Aside Time to Develop High-Quality Chatbot Content

Once you’ve started creating chatbots, the technology should allow you to edit and generate content for the bot as well as develop dialogues using a simple WYSIWYG editor. 

As a data source, the chatbot can ideally be integrated with your current knowledge base. This eliminates the need to construct unique metadata for the bot and the need to keep track of data across different systems. If dialogue generation necessitates the use of developers, the project’s launch could take an eternity.

Chatbot flow example: let’s start with Xenioo

If you want to make the best customer support chatbot, check out Xenioo, our chatbot builder app with chatbot conversation flow templates that helps large and medium-sized companies reduce customer service costs, increase agent performance, and improve customer engagement. 

Join the chatbot flow editor experience under your organization with Xenioo. Allow us to guide you through and give your organization the best customer service it can provide. Connect with us at https://www.xenioo.com.