Welcome to the Braze Videos

Open-text survey responses are incredibly valuable, but insights are hard to find. Instead of spending hours manually reviewing customer feedback or building endless keyword rules, watch how BrazeAI™ allows you to automate data standardization natively within your workflow. In this quick walkthrough, Kai from the Braze Learning team shows you how to use Operator to build a "Survey Standardizer" Canvas Agent. Learn how to convert free-form customer responses into structured data, dynamically generate tailored email copy, and scale your real-time personalization, completely automated. Here’s a sample prompt you can try:  Create a Canvas Agent called "[Agent Name]" to standardize open-text feedback from a [Insert Industry, e.g., retail, SaaS] customer survey. The Agent should analyze the raw response and output these structured data fields: "sentiment": Categorized as Positive, Neutral, or Negative. "customer_intent": The main reason for the message (e.g., [Insert Example 1], [Insert Example 2]). "follow_up_required": A boolean value (True/False). Also, generate two creative copy fields based on the user's input to use in a follow-up email: "email_heading": A short, personalized headline. "email_subheading": A clear line addressing their next steps. Test the output using this simulation input: "[Insert a sample customer response here]"