The A to Z of Chatbot Design: How to Plan Your Chatbot

When planning a chatbot, the conversation designer must create and design all of the dialog paths or flows the user could take to reach the end goal. Those paths can include business goals like sales conversion, issue resolution, subscribing, or something else. Chatbots helped these businesses to help and respond to users with repetitive questions, and escalate the more complex issues to their human customer services representatives. A conversational AI bot is a more sophisticated, or “smarter” form of chatbot. It also requires deeper development resources and comes with a heavier price tag.

These chatbots are able to be proactive or reactive according to your customer support strategy. Before you can design a successful conversation for a chatbot or voice assistant, you need to figure out how your talk. In this class, you will learn about the Bot Scorecard and natural language. The Bot Scorecard is a framework that conversation designers use to evaluate and discuss their work.

Principles that can be used immediately by anyone in their design process.

When creating a design of a chatbot, the clearest way to present a complicated conversation with loads of possible decisions and turns is a diagram. It helps visualise the conversation as a map where you can easily follow any path of many. Konverse platform provides one of the most user-friendly processes for rule-based bot building.

As soon as you start working on your own chatbot projects, you will discover many subtleties of designing bots. But the core rules from this article should be more than enough to start. They will allow you to avoid the many pitfalls of chatbot design and jump to the next level very quickly. This chatbot uses emojis, animated GIFs, and it sends messages with a slight delay.

Design your bot flow

Well, perhaps it’s not that easy task, but at least a chatbot must have a pre-established setting for the cases when it doesn’t know the answer. Also, it’s essential to offer a walkaround if the conversation hits a dead-end. The ultimate goal is to provide a customer with a great conversational user experience, so go from there.

Check out this recap of Marika’s conversation design masterclass for even more expert advice. You might not even realise but such greetings make your interaction less robotic and more humanised. So, if you don’t plan on training your AI continuously for the long run, it will be hard to evaluate customers’ needs more accurately. This will lead to missing out on opportunities where you could benefit the most. As compared to humans, machines have limited learning abilities.

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