Chatbot UI UX Design: Process, Principles & Best Practices
Summary
Chatbot UI/UX combines the bot’s visual interface (UI) with conversational flow (UX) to create a seamless interaction with users. It focuses on helping users navigate the interface and complete tasks through human-based answers.
FAQs
What is chatbot UX design?
Chatbot UX design combines human psychology, AI, user experience, and microcopy writing to create intuitive, engaging, and human-centric interfaces.
What makes a good chatbot interface?
A good chatbot interface should be minimalistic, context-aware, and easy to navigate, and contain message bubbles, quick replies, typing indicators, and input fields. It should also have well-defined fallback options (bringing human support to resolve a complex human query).
How do you design chatbot conversations?
Chatbot conversation design involves these 4 steps: user research (mapping user journey), designing the conversation flows, testing and iterating the model until it achieves the desired efficiency.
What tools are used for chatbot UX?
Chatbot UX design involves Figma/ Sketch (for wireframing and prototyping), Miro or Whimsical for conversation mapping, and Google Analytics (for optimization and iterations).
What is the difference between chatbot UX & conversational UI?
Chatbot UX focuses on ensuring that the bot understands intent, responds, and guides users to complete tasks. Conversational UI prioritizes the visual elements (chat window, voice interface, and message bubbles) to ensure a smooth conversation between users and the bot.
Is chatbot UX different from app UX?
App UX follows traditional UI rules, and mainly focuses on menus, navigation, and buttons. Chatbot UX focuses on dialogue flows and context, rather than layouts and navigation paths.
