QuickSight Q: Natural Language Queries
Discover how to let users ask questions in natural language and get instant visualizations.
What is QuickSight Q?
QuickSight Q is a machine learning-powered feature that allows business users to ask questions about their data using natural language. Instead of building visualizations manually, users can simply type questions like "What were our sales last quarter?" and get instant answers.
🧠 How Q Works
Natural Language Processing
Q uses NLP to understand the intent behind your question.
Semantic Mapping
Maps business terms to your actual data fields and tables.
Auto-Visualization
Automatically selects the best chart type for your answer.
Example Questions
Setting Up Topics
Topics are the foundation of QuickSight Q. They define the data and business context that Q uses to answer questions.
Add Datasets
Connect the datasets that contain your business data. Q will analyze the schema automatically.
Define Synonyms
Add business-friendly synonyms for technical field names (e.g., "revenue" for "total_sales_amount").
Train & Validate
Review Q's understanding and provide feedback to improve accuracy over time.
🚀 Best Practices
- ✓Use descriptive field names that match business terminology
- ✓Add comprehensive synonyms for common terms
- ✓Regularly review and validate Q's answers
- ✓Create separate topics for different business domains