Manage Chat Conversations
Learn how to monitor, manage, and optimize your chat assistant conversations in real-time.
Overview
Effective chat management ensures your AI assistants provide excellent customer service while allowing human oversight and intervention when needed.
Accessing Chat Dashboard
1. Navigate to Conversations
Go to Chats → Conversations to view all active and past chats.
2. View Conversation List
See all conversations with:
- User Information: Name, email, or ID
- Status: Active, waiting, resolved, or escalated
- Channel: Web, mobile, messaging app
- Last Message: Preview of recent activity
- Duration: How long the conversation has been active
Monitoring Active Conversations
Real-Time View
Monitor ongoing chats:
- See messages as they're sent
- Watch AI responses in real-time
- Track user satisfaction indicators
- Identify conversations needing attention
Conversation Filters
Filter chats by:
- Status: Active, waiting for user, resolved
- Channel: Web, WhatsApp, Facebook, etc.
- Sentiment: Positive, neutral, negative
- Agent Type: AI only, human-assisted, escalated
- Time Range: Today, this week, custom date
Taking Over Conversations
When to Intervene
Take over from AI when:
- User requests human agent
- AI is uncertain or struggling
- Complex issue requires expertise
- Sensitive topic needs human touch
How to Take Over
- Click on the conversation
- Select "Take Over"
- Send a message to introduce yourself
- Continue the conversation manually
Seamless Handoff
Ensure smooth transitions:
AI: "I'm connecting you with a specialist who
can better assist with this request."
Human: "Hi [Name], I'm [Agent Name]. I see you're
asking about [topic]. Let me help you with that."
Managing Conversation Flow
Assign to Team Members
Route conversations to the right people:
- Select conversation
- Click "Assign"
- Choose team member or department
- Add notes for context
Set Priority Levels
Mark urgent conversations:
- High: Immediate attention needed
- Medium: Address soon
- Low: Normal queue
Add Internal Notes
Communicate with your team:
- Add notes visible only to agents
- Tag team members
- Document important details
- Track action items
Conversation Actions
Common Actions
- Reply: Send a message
- Resolve: Mark conversation as complete
- Escalate: Transfer to supervisor
- Follow Up: Schedule future contact
- Block: Block spam or abusive users
Bulk Actions
Manage multiple conversations:
- Select multiple chats
- Apply actions to all selected
- Export conversation data
- Archive old conversations
Quality Monitoring
Review AI Performance
Evaluate how well the AI handled conversations:
- Resolution Rate: Percentage solved without human help
- User Satisfaction: Ratings and feedback
- Response Accuracy: Correct vs. incorrect answers
- Response Time: Speed of AI replies
Feedback Collection
Gather insights:
- End-of-chat surveys
- Star ratings
- Free-form feedback
- Follow-up emails
Conversation Analytics
Track key metrics:
- Volume: Number of conversations per day/week
- Average Duration: How long chats typically last
- Peak Times: When traffic is highest
- Channel Breakdown: Which channels are most used
- Resolution Rates: AI vs. human resolution
Best Practices
- Monitor conversations regularly
- Respond to escalations promptly
- Use internal notes for team coordination
- Review AI performance weekly
- Update AI based on common issues
- Train team on when to intervene
- Set clear availability hours
Troubleshooting
AI Not Responding
Check:
- Assistant is active and deployed
- API connections are working
- No service outages
Poor Response Quality
Improve by:
- Reviewing and updating prompts
- Adding more training data
- Expanding knowledge base
- Fine-tuning response settings
High Escalation Rate
Reduce escalations:
- Improve AI training
- Add more FAQs
- Clarify assistant capabilities
- Update conversation flows