Voice AI Agents Dashboard
The Voice AI Agents Dashboard gives you powerful analytics to understand how your AI phone agent is performing. Track call volume, monitor parent sentiment, and see which automations are triggering—all in one place. Use these insights to improve how your AI agent handles tour requests, waitlist inquiries, and parent questions.
Where to Find the Voice AI Agents Dashboard
Access the dashboard at two levels depending on what you need to see:
Client Account Level: Navigate to Voice AI Agents → Dashboards & Logs to see data across all your agents.
Individual Agent: Go to Voice AI Agents → Select Your Agent → Dashboards & Logs for agent-specific performance.
[SCREENSHOT: Voice AI Agents navigation menu showing the path to Dashboards & Logs from both the main Voice AI Agents page and from within a specific agent]Key Metrics in the Dashboard
Your dashboard breaks down Voice AI performance into four main areas that matter most for childcare centers.
Call Analytics
See exactly how your AI agent is handling incoming calls from parents:
- Total Calls Completed – How many calls your AI agent successfully handled
- Call Trends Over Time – A visual chart showing call volume patterns across days or weeks
- Total Call Duration – Combined time your AI agent spent on all calls
- Average Call Duration – Typical length of each parent conversation
Pro tip: If you notice call volume spikes at certain times, adjust your AI agent's availability or staff coverage accordingly.
Actions Triggered
Track what happens after your AI agent talks to parents:
- Total Actions Triggered – How many automations your AI agent activated (like booking tours or adding families to waitlists)
- Action Breakdown – See which specific actions happened most often
- Updated Family Fields – Which parent or child information was recently updated during calls
This helps you understand which automations are working and which might need adjustment.
Parent Sentiment Analysis
Your AI agent analyzes how parents feel during conversations:
- Sentiment Overview – Classification of calls as positive, neutral, or negative based on parent tone and responses
Use sentiment data to identify parents who might need a personal follow-up call from your team.
Comparative Statistics
Every metric shows a percentage change compared to your selected time period. These trend indicators help you spot improvements or issues quickly.
For example, if your positive sentiment increased 15% this week versus last week, you know your AI agent's responses are resonating better with parents.
Available Filters
Narrow down your analytics to find exactly what you need:
- Time Duration – View data from specific date ranges (last 7 days, last month, custom range)
- Agent – Filter by individual Voice AI agent if you have multiple configured
Frequently Asked Questions
Q: How do I access the Voice AI Agents Dashboard?
Navigate to Voice AI Agents → Dashboards & Logs for account-level insights, or Voice AI Agents → Select Agent → Dashboards & Logs for agent-specific data.
Q: Can I filter data for specific time periods?
Yes. Use the time duration filter at the top of the dashboard to select any date range you need.
Q: What is the purpose of sentiment analysis?
Sentiment analysis shows how parents feel during calls with your AI agent. Use this to identify frustrated parents who need immediate follow-up, or to validate that your AI agent's tone and responses are working well.
Q: What does the percentage delta indicate?
The percentage shows how current metrics compare to your previous time period. A positive delta means improvement; negative means a decline from the comparison period.
Q: Can I see which automations triggered most frequently?
Yes. The Actions Triggered section breaks down each automation type and shows exactly how many times each one fired.
Next Steps
- Review your dashboard weekly to spot trends in parent inquiries and AI performance
- Use sentiment data to identify parents who need personal outreach from your enrollment team
- Adjust your AI agent's responses based on which automations are triggering most often
- Compare call volume patterns to staffing levels—schedule more coverage during peak inquiry times