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How to measure the performance of an AI voice agent

InfiVoice ยท 2026-11-14

Going live is the start, not the finish. A few simple measures show whether your voice agent is doing the job you gave it.

Step 1. Define the job first

Decide what a good call looks like for you: a booked appointment, a qualified lead, a resolved question or a clean handoff. Every metric should tie back to that goal.

Step 2. Track outcomes, not just volume

Count how many calls ended in the result you wanted. Total calls tell you about demand, but outcomes tell you about quality.

Step 3. Watch handoffs

Note how often calls are passed to a person and why. Frequent handoffs on the same topic usually point to a gap in your knowledge base.

Step 4. Read real transcripts

Numbers hide the details. Set aside time each week to read a sample of calls and mark where callers got confused or repeated themselves.

Step 5. Check call length

Very short calls can mean callers hung up early. Very long ones can mean the agent is looping. Both are worth a look.

Step 6. Collect caller feedback

Ask your team what callers say when they follow up. Their comments often reveal issues that metrics miss.

Step 7. Change one thing at a time

Update the greeting, a knowledge base entry or a flow step, then compare the next batch of calls. Small, single changes make it clear what worked.

What it costs

InfiVoice bills in credits, and one credit equals 60 seconds of call time. The Free plan includes 100 credits. Pro costs $79 per month with 250 credits.

Frequently asked questions

Which metric matters most?

The one tied to your goal, such as bookings made or leads qualified. Start there and add others as needed.

How often should I review calls?

A weekly review of a sample of transcripts is a practical routine, more often right after launch.

What if the agent keeps missing the same question?

Add that answer to the knowledge base, then listen to new calls to confirm it helped.

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