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First Conversation with Your Data

Having Your First Conversation with Your Data This guide will help you get started with your first data conversation …

Last updated: April 13, 2025 Category: Getting Started

Having Your First Conversation with Your Data

This guide will help you get started with your first data conversation in QueryRush after you've connected your data sources.

Getting Started

Now that you've set up your Anthropic API key and connected your BigQuery data, you're ready to start talking to your data!

Starting a New Chat

  1. Navigate to the Chats Page

    Click on "Chats" in the main navigation menu.

  2. Create a New Chat

    Click the "New Chat" button to start a fresh conversation.

  3. Select Your Data Source

    Choose the BigQuery table you want to analyze from the dropdown menu. You can change this later if needed.

Asking Your First Questions

Here are some examples of questions you can ask about your GA4 data:

  • "What were the top 5 most visited pages on my website last month?"
  • "Show me the daily trend of users over the past 30 days"
  • "What's the average session duration by country?"
  • "Compare conversion rates between mobile and desktop users"

Understanding the Results

When you ask a question, QueryRush will:

  1. Analyze your question to understand your intent
  2. Generate the appropriate SQL query for your BigQuery data
  3. Execute the query and retrieve the results
  4. Display the results in both tabular and visual formats (when applicable)
  5. Provide an explanation of the findings in plain English

Refining Your Questions

If you don't get exactly what you're looking for, you can refine your question. For example:

  • Be more specific about time periods: "Show me data from January 1-15, 2023"
  • Specify metrics: "What was the bounce rate, average session duration, and pages per session?"
  • Add filtering criteria: "Only include users from the United States"

Saving and Sharing Insights

Once you've found useful insights:

  • Save the query for future reference by clicking "Save"
  • Export the results as CSV or PDF using the export options
  • Share the insights with colleagues via the share button

Next Steps

As you become more familiar with QueryRush, explore these advanced features:

  • Creating custom visualizations
  • Setting up scheduled queries
  • Building dashboards with your most important queries
  • Analyzing multiple data sources together

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