How to design a personal chatbot for your business ?

There are many tools available today that help businesses achieve their various goals more effectively. Chatbots are one of them. Used mainly to improve the customer experience and optimize internal processes, these tools are simply essential. If you don't have one yet, you can adopt one of the many models available on the market or create a tailor-made model. If the second option interests you, this short guide helps you create a personal chatbot for your company.

Define the objectives and use cases of the tool

To create a tailor-made tool, you must first of all know what exactly it should be used for. So if you're wondering how to build an english chatbot for international customers, don't rush headlong into developing your chatbot. Take the time to lay a solid foundation.

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The foundation involves setting clear goals and identifying specific use cases that your virtual assistant will address. Start by asking yourself the right questions.

• What processes or tasks do I want to automate and simplify using the chatbot?
• How can this new tool improve the customer experience, by offering them personalized and instant assistance?
• What type of information or support should the chatbot provide to your customers?

By responding to these, you define a clear roadmap for your chatbot and lay the foundations for precise measurement of its impact. In this way, you create a tool that is relevant, effective and perfectly aligned with the needs of your business.

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Choose the platform and development tools

Now that you know what you want, you need to bring your chatbot to life. To do this, you must use a platform and development tools adapted to your needs. Fortunately, the technology landscape is full of ready-to-use solutions, accessible even to programming novices. You therefore do not need to have strong skills to manipulate them and create your chatbot.

Platforms like Dialogflow or ManyChat allow you to create powerful chatbots without writing a single line of code. However, if you are looking for a tool dedicated to more experienced developers, you can very well use Rasa or IBM Watson Assistant.

Design the conversation flow and scenarios

When developing your bot, you need to design a conversation flow. A good scenario will allow you to define the path of exchanges between the chatbot and the user.

To create a seamless conversation flow, start by visualizing the entire user journey. Create a flowchart that represents the different branches of the conversation, considering questions, requests, and possible actions.

Finally, develop detailed scenarios for each possible interaction. Anticipate frequently asked questions (FAQs) and seamlessly integrate them into the conversation flow. You must also remember that clarity is essential. Use simple, direct language, avoiding technical jargon and complex sentences.

Train and test the chatbot

Just like an athlete prepares for competition, your chatbot needs rigorous training to excel in its interactions. This step involves providing your virtual assistant with data and conversation examples so it can learn how to interpret requests and generate relevant responses.

To hone your conversation skills, start by gathering conversation data sets that are representative of your use cases. The richer and more varied the data, the more precise your chatbot will be and adapted to your needs.

When you have all the data, put your chatbot to the test by simulating real conversations and analyze its responses. Test and test again, identify errors, inconsistencies and lack of fluidity and make corrections. Repeat the operation until the bot is flawless.

Deploy and monitor the chatbot

If your chatbot is finally ready for use, don’t hesitate to integrate it into your communication platform. This could include, among other things, your website, your mobile application or even your social networks.

Once deployed on your platform, you must constantly monitor your chatbot. Don’t make the mistake of leaving him to his own devices. Continuous monitoring is essential to ensure your virtual assistant remains efficient and relevant.

Carefully analyze usage data to identify trends, strengths and weaknesses. Detect areas for improvement and make regular changes to optimize the user experience. You will be able to rely on your customers' comments to know the different areas for improvement.