Typos and grammatical mistakes can undermine the user’s confidence in the bot’s ability to provide accurate information. These errors can also confuse, making it difficult for the user to understand the bot’s responses, leading to a poor user experience. Don’t stick to a single workflow, else you won’t be able to make improvements. Conduct an A/B testing by tweaking the original flow to create another flow. Determine what the audiences love and use it to prepare your chatbot design.
The rules-based chatbot design process looked like a decision tree where each action by the user prompts the chatbot’s responses. You can foun additiona information about ai customer service and artificial intelligence and NLP. The approach created a spaghetti-like approach to chatbot building. Traditionally, chatbot design was largely a process of scripting a detailed decision tree.
