Watch: Turn Survey Data into Real-Time Customer Journeys with BrazeAI™

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:

1. "sentiment": Categorized as Positive, Neutral, or Negative.
2. "customer_intent": The main reason for the message (e.g., [Insert Example 1], [Insert Example 2]).
3. "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]"