---
title: Configuring and Using Question Suggestions
slug: configuring-and-using-question-suggestions
docTags: 
createdAt: 2025-01-09T09:26:57.424Z
---

### Introduction

The Question Suggestions feature enhances user interaction by providing helpful suggestions when the bot encounters a fallback scenario. This ensures that users are guided to relevant information even when a direct answer is unavailable.

By default, the suggestions are divided as follows:  

- 60% FAQ Suggestions: Based on frequently asked questions (FAQs).  
- 40% Document Suggestions: Based on content extracted from related documents.

###  How It Works  

1. **Fallback Trigger:  **
When the bot cannot provide a direct response to a user's query, the fallback mechanism triggers.  
2. **Suggestion Generation:  **
Based on the default ratio, the bot displays:  
   1. 60% FAQ Suggestions: Top FAQ-based recommendations.  
   2. 40% Document Suggestions: Relevant document-based recommendations.

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###  Example of Question Suggestions  

 Scenario: User asks an unsupported question  

User Query: "What are the services offered for male infertility"  

Bot Response: The bot doesn’t have an exact answer and displays suggestions:  

- FAQs (60%):  
- Documents (40%):  

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### Key Attributes for Suggestions  

1. **QUESTION\_SUGGESTIONS**
   1. Purpose: Activates the suggestion mechanism during fallback scenarios.  
   2. Function: Displays relevant suggestions to the user.
2. **FAQ\_RATIO  **
   1. Purpose: Determines the percentage of FAQ-based suggestions.
   2. Default Value: 60%.
3. **DYNAMIC\_QUESTIONS\_RATIO  **
   1. Purpose: Determines the percentage of document-based suggestions.  
   2. Default Value: 40%.

If you face any issues or queries please reach out to us at [support@engati.ai](mailto\:support@engati.ai).