Conversational UI
Problem
Traditional interfaces are rigid, requiring users to learn specific patterns. Users prefer natural language but struggle with AI lacking context or conversational nuance.
Solution
Create conversational interfaces that understand natural language, maintain context, and respond human-like. Design for text and voice, with appropriate brand-matching personality and tone.
Examples in the Wild
Interactive Code Example
Implementation & Considerations
Implementation Guidelines
Use natural language; avoid overly formal or robotic responses.
Maintain conversation context and reference previous interactions.
Provide clear conversation starters and example prompts.
Handle misunderstandings gracefully with clarifying questions.
Use appropriate, brand-matching personality and tone.
Support both structured commands and free-form natural language.
Provide visual cues for conversation state (typing indicators, read receipts).
Design for both synchronous and asynchronous conversation patterns.
Include conversation history and search functionality.
Handle interruptions and topic changes smoothly.
Design Considerations
Balance personality with professionalism based on use case.
Consider cultural differences in communication styles.
Plan for multilingual support and language detection.
Design appropriate fallback mechanisms when AI doesn't understand.
Consider privacy implications of conversation history storage.
Account for accessibility needs in text and voice interfaces.
Plan for conversation handoffs between AI and human agents.
Consider the cognitive load of extended conversations.
Design appropriate boundaries for AI personality and capabilities.
Test with diverse user groups to validate conversational patterns.