AI Call Analytics: Which Voice-Agent Metrics Should You Track?
A voice agent can complete thousands of calls and still fail to create business value. Metrics help separate activity from outcomes.
Start with the call funnel
Track the journey from call attempt to useful result:
- Calls attempted.
- Calls connected.
- Calls answered by the agent.
- Conversations completed.
- Calls transferred or escalated.
- Bookings, qualified leads, resolved questions, or other target outcomes.
This reveals where callers drop out.
Measure conversation quality
Useful quality metrics include:
- Repeated prompts.
- Caller interruptions.
- Unclear or low-confidence turns.
- Transfer rate.
- Abandonment rate.
- Time to resolution.
- Human review score.
A high completion rate is not enough if callers are completing the wrong flow.
Track technical performance
Monitor speech-to-text errors, language-model failures, text-to-speech failures, tool errors, provider availability, and p50/p95 response latency. Group the data by campaign and provider so a problem can be investigated rather than hidden inside one average.
Connect metrics to cost
Measure provider usage and telephony cost against a useful outcome: cost per booking, cost per qualified lead, or cost per resolved call. Cost per minute can be helpful, but it is not the full business picture.
Use metrics for iteration
Review metrics with transcripts. If transfer rate rises, ask why. If bookings fall, inspect availability or confirmation. If latency rises, inspect provider and tool timing. Numbers tell you where to look; conversations tell you what to change.
Voxif brings live monitoring, call logs, transcripts, and latency information together so operators and admins can evaluate both the technical and business sides of a voice workflow.