Feedback

To access feedback data, navigate to the "Feedbacks" section within the Instinct AI dashboard. You can download the data in a CSV format for further analysis.

Key Metrics and Visualizations:

The dashboard offers several key metrics to help you understand feedback trends:

• Confidence Level: The AI's confidence in providing accurate and relevant answers.

• Unconfidence Level: The AI has a moderate level of confidence in its response

• Helpful: User perception of the answer's usefulness.

• Not Helpful: User perception of the answer's being not useful

Understanding Data Columns

The feedback data includes the following columns:

• Question: The user's original query.

• Answer: The AI's response to the query.

• Citation: The source of information used by the AI (if applicable).

• Confidence: The AI's confidence level in the response.

• Answer Type: The type of response generated by the AI (e.g., informative, conversational, transactional).

• Agent Name: The AI model or agent responsible for the response.

• Helpful: Indicates whether the user found the response helpful.

• Not Helpful: Indicates whether the user found the response not helpful.

• Action: Any actions taken on the feedback (e.g., resolved, escalated).

  

The Benefits of a Feedback-Driven AI Approach

By actively incorporating feedback into our AI development process, we achieve several key benefits:

• Continuously Improving Accuracy: Our AI is constantly learning and evolving, leading to more accurate and informative responses over time.

• Enhanced User Experience: By addressing user feedback and pain points, we create a more intuitive and satisfying AI experience for everyone.