How can I design effective fallbacks for my chatbot?
To design effective fallbacks, start by identifying common user intents that may not be covered by your main flows.
What should I do when the chatbot doesn't understand a user's request?
You can implement a fallback response that acknowledges the confusion and offers to help in a different way, like asking for clarification.
Can you give me an example of a fallback response?
Sure! A fallback response could be: 'I'm sorry, I didn't quite catch that. Could you please rephrase your question?'.
How do I measure the effectiveness of my fallbacks?
You can track user interactions and feedback on fallback responses to see if they lead to successful resolutions or further confusion.
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