Ask yourself and your team about the types of questions the bot will handle. When choosing between these language interfaces, you should establish what your must-haves are, and the types of questions that you expect students will ask. They also learn from conversations so are continually self-improving. This gives them better contextual understanding so they can handle a broader range of questions. By using Natural Language Processing (NLP), these bots can identify the intent behind student inquiries. While they can be used for straightforward questions, they may not understand complex questions or phrases.ĪI chatbots are the most sophisticated of chatbots. Keyword chatbots use a simple keyword engine to understand what the visitor is asking and respond with the most appropriate answer. They are the most easy-to-build of chatbots, requiring no technical expertise or coding – users can pick from a selection of pre-built templates or create their own with a simple to use drag-and-drop bot builder. Task bots are bots that guide customers through a series of questions and answers to resolve common FAQs and perform routine tasks like booking a meeting or signing up for an event. Chatbots can range from keyword recognition to AI chatbots, and before you build your chatbot you need to understand the strengths of each: Question 2 – What type of chatbot do I need?ĭepending on the goals that you set for a chatbot, your choice of chatbot language interface can vary greatly. This should be discussed with your agents as well, to help them understand that they’re not being replaced. All support teams face questions that need a “human touch”. AI chatbots in higher education can handle a lot of inquiries and tasks, but you shouldn’t expect bots to handle everything.
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