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* [Manage roles](user-guide/manage-user-and-roles/manage-roles.md)
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* [Manage Settings](user-guide/manage-settings/README.md)
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* [Email](user-guide/manage-settings/email.md)
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* [Chatbot Fallback](user-guide/manage-settings/chatbot-fallback.md)
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* [Chatbot Global Fallback](user-guide/manage-settings/chatbot-global-fallback.md)
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* [NLP Provider](user-guide/manage-settings/nlp-provider.md)
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* [Web Channel](user-guide/manage-settings/web-channel.md)
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* [Live chat widget](user-guide/manage-settings/live-chat-widget.md)
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# Chatbot Fallback
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{% hint style="info" %}
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This section is currently under development (WIP)
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{% endhint %}
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# Chatbot Global Fallback
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Hexabot's Global Fallback settings allow you to define a default response that your chatbot will use when it cannot understand or respond to a user's query. This ensures a more consistent and user-friendly experience, even in situations where the chatbot might struggle to interpret the user's input.
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**1. Access Global Fallback Settings:**
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* Navigate to the "Settings" section.
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* Select the "Chatbot" view.
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**2. Configure the Global Fallback Message:**
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* **Enter Fallback Message:** Type the message you want your chatbot to send when it encounters a fallback situation. This message should be polite, informative, and helpful.
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* **Example:**
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* "I'm not sure if I understand your request. Could you please rephrase it?"
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* "Sorry but i didn't understand your request. Maybe you can check the menu"
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**3. (Optional) Configure Fallback Triggers:**
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* Some Hexabot blocks configurations might allow you to define specific conditions that trigger the global fallback message.
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* This could include:
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* **Number of Consecutive Fallbacks:** Only trigger the fallback after a certain number of failed attempts to understand the user's query.
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* **Specific Keywords:** Trigger the fallback if the user's message contains certain keywords that indicate a misunderstanding.
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**4. Enable Global Fallback**
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* Click on the switch button to enable/disable your global fallback settings.
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{% hint style="info" %}
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**Tips:**
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* Always aim for a positive tone in your fallback message.
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* Let the user know why the chatbot is unable to understand their query (e.g., "I'm still learning" or "I need more information").
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* Offer users alternative ways to get help, such as contacting a human agent or searching for information on a website.
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* Limit the number of times the global fallback message is triggered to prevent a frustrating user experience. If a user repeatedly sends confusing input, you might consider automatically redirecting them to a human agent.
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{% endhint %}
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