Introduction to Data Explorer

Drill into the links below for step-by-step instructions

Create a Message Query: Recognize common patterns in incoming user messages and adapt visualization techniques accordingly
Create a User Query: Analyze how different users interact, including the types of questions asked, preferred times of interaction, and fallback %
Create a Sessions Query: Measure the duration and depth of sessions to assess engagement levels
Create a Query with Standard Prompts in Data Explorer: Query various dimensions such as categories, topics, reasons, etc from data slicer in a data explorer card
Creating a New Saved Card from an Existing Card: Create a new saved card from an existing one in your database, allowing you to efficiently generate new cards based on current data and adapt to evolving reporting needs.