Follow Up Questions

Follow-up questions are AI-generated conversation continuations that appear after your assistant responds to a user query. They help maintain engagement by suggesting relevant next topics and guide visitors toward valuable information.

Note: Follow-up questions are a PRO feature that requires an active license.

🎯 How Follow-Up Questions Work

Automatic Generation

When your assistant responds to a user, the AI automatically:

1. Analyzes the conversation context and response content
2. Generates 3 relevant follow-up questions based on the topic
3. Displays them as clickable buttons below the assistant’s response
4. Adapts to your business using your System Instructions and knowledge

Smart Contextual Awareness

Follow-up questions are contextually intelligent:

• Topic-specific: Related to the current conversation subject
• Business-relevant: Aligned with your services and expertise
• Progressive: Lead to deeper, more valuable discussions
• Natural: Feel like logical next questions a human would ask

💡 Benefits for Your Business

Increased Engagement

• Longer conversations: Users explore more topics instead of leaving
• Reduced bounce rate: Visitors stay engaged with your content
• Better discovery: Users find information they didn’t know they needed

Improved User Experience

• Guidance: Help users think of relevant questions to ask
• Exploration: Encourage discovery of your full range of services
• Convenience: No need to think of what to ask next

Business Intelligence

• Conversation insights: See what topics users are most interested in
• Content gaps: Identify areas where users need more information
• Lead qualification: Guide potential customers through discovery process

🔧 How to Optimize Follow-Up Questions

Enhance Your System Instructions

Since follow-up questions are generated from your assistant’s knowledge, improve them by:

Be Comprehensive: Include detailed information about your services, processes, and common customer journeys

Use Clear Structure: Organize your prompt with clear sections for different topics

Include Examples: Provide examples of how you help customers and what questions they typically have

Example System Instructions Enhancement:

Our customers typically want to know about:
- Pricing and packages (3 tiers: Basic $99, Pro $299, Enterprise custom)
- Implementation timeline (typically 2-4 weeks depending on complexity)
- Support options (24/7 chat, phone support, dedicated account manager)
- Integration capabilities (connects with 50+ popular business tools)
- Success metrics (average 40% efficiency improvement within 90 days)

Common customer journey:
1. Initial interest and discovery
2. Technical requirements discussion
3. Pricing and package selection
4. Implementation planning
5. Training and onboarding
6. Ongoing support and optimization

⚡ Best Practices

Do’s

✅ Rich System Instructions: Provide comprehensive business information ✅ Clear Value Propositions: Explain benefits and outcomes clearly
✅ Address Common Concerns: Include FAQ-style information ✅ Multiple Pathways: Describe different customer types and their needs ✅ Specific Examples: Use real scenarios and case studies

Don’ts

❌ Vague Descriptions: Avoid generic business descriptions ❌ Limited Scope: Don’t restrict your assistant’s knowledge artificially ❌ Technical Jargon: Use language your customers understand ❌ Incomplete Information: Provide full context for better question generation

🎨 Examples by Business Type

E-commerce Store

User: “What’s your return policy?” Assistant: [Explains 30-day return policy] Follow-ups:

• “What’s the process for exchanges?”
• “Do you cover return shipping costs?”
• “How long do refunds take to process?”

Professional Services

User: “What services do you offer?” Assistant: [Lists consulting services] Follow-ups:

• “How do you customize solutions for different industries?”
• “What’s your typical project timeline?”
• “Can you share some client success stories?”

Restaurant

User: “What are your hours?” Assistant: [Provides hours and location] Follow-ups:

• “Do you take reservations?”
• “What’s on your menu today?”
• “Do you offer catering services?”

📊 Monitoring Performance

Key Metrics to Track

Click Rate: Percentage of users who click follow-up questions vs. typing new ones

Conversation Length: Average number of exchanges when follow-ups are used

Topic Coverage: Breadth of subjects covered in conversations

Conversion Rate: How often follow-up driven conversations lead to desired actions

Analytics Available

Through your AAIA dashboard, monitor:

• Daily conversation summaries showing popular follow-up topics
• Usage patterns indicating which types of questions work best
• User engagement metrics comparing sessions with and without follow-ups

⚙️ Configuration

Enabling Follow-Up Questions

1. Navigate to Assistant → Tools & Features
2. Toggle “Enable Follow-up Questions” to ON
3. Save settings
4. Test by having a conversation with your assistant

No Additional Setup Required

Follow-up questions work automatically once enabled:

• No question writing needed: AI generates them dynamically
• No maintenance required: Questions adapt as conversations evolve
• No technical configuration: Works with your existing System Instructions

🔗 Related Features

Works With Starter Questions

• Starter questions begin conversations
• Follow-up questions continue and deepen them
• Together they create a seamless conversation flow

Enhances System Instructions

• Better prompts = better follow-up questions
• Your business knowledge directly improves question relevance
• Comprehensive instructions enable more sophisticated conversations

🔗 Next Steps

1. Enable the feature: Turn on follow-up questions
2. Optimize your prompts: Enhance System Instructions for better questions
3. Monitor conversations: Track engagement and optimize
4. Review analytics: Measure impact on user engagement

Follow-up questions transform one-off interactions into meaningful conversations. The better your assistant knows your business, the more relevant and valuable these questions become.