How do you handle errors during chatbot testing?

How do you handle errors during chatbot testing?

During chatbot testing, we implement error handling by logging errors, providing fallback responses, and continuously monitoring performance.

Can you give an example of a common error?

A common error is when the chatbot fails to understand user input, leading to irrelevant responses. We address this by refining the NLP model.

What tools do you use for testing?

We use tools like Botium, Postman, and custom scripts to simulate user interactions and identify issues.

How do you ensure the chatbot learns from errors?

We implement machine learning techniques that allow the chatbot to learn from past interactions and improve over time.

Is user feedback important in this process?

Absolutely! User feedback is crucial for identifying pain points and enhancing the chatbot's performance.