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Using the ASA Feedback Button for Improved AI Interaction

This article explains how to use the AISA Feedback Button to review AI responses, provide ratings and detailed feedback, and apply suggested improvements to refine prompts and enhance overall AI performance.

1. Introduction to the AISA Feedback Button

  • The AISA feedback button is designed for users to:
    • Provide feedback on ASA's responses.
    • Receive suggestions for improving prompts.

2. Understanding AISA's Responses
  • Locate the feedback icon next to any message from AISA (text or email).
  • View the reasoning behind AISA's response.
  • Access additional information.
3. Rating ASA's Responses

  • Rate the response using:
    • Thumbs up for satisfactory responses.
    • Thumbs down for unsatisfactory responses.
4. Providing Detailed Feedback

  • If you select thumbs down, you can:
    • Elaborate on why the response was incorrect.
5. Analyzing Feedback and Receiving Suggestions



  • After submitting feedback, you can:
    • Analyze the information to check your prompts.
    • Receive suggestions for improvement.
6. Implementing Suggested Changes

  • If you agree with the suggestions:
    • Copy the recommended script into your backend AISA Settings.
    • Replace your current response script to enhance your experience.
    • Important-remove your entire prompt and replace it with the suggested response. You want to make sure you don’t re-add the same information.
7. Additional Context for Improved Responses

  • You can also:
    • Update the additional context field in your AI settings with the suggested wording.
8. Variability in Feedback Responses
  • Different messages may yield different suggestions:
    • Enhancements could include response scripts, business rules, or other items.
9. Encouragement to Use the Feedback Tool
  • Users are encouraged to:
    • Utilize the feedback tool frequently.
    • Provide consistent feedback to improve the AI experience.
10. Importance of User Feedback
  • The feedback collected will help:
    • Enhance the overall AI experience.
    • Reduce the number of mistakes in responses.


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