Question 1

What is voice agent testing?

Accepted Answer

Voice agent testing validates AI agents that talk to people, from audio chatbots to inbound and outbound phone agents. It evaluates audio conversations against quality metrics like hallucination, context awareness, and conversation flow, and scores telephony calls on latency, intent recognition, speech-to-text accuracy, and more, before the agent ever reaches a customer. For the full methodology, read the voice agent testing guide.

Question 2

What types of voice agents can I test?

Accepted Answer

Three channels are supported. The Voice Agent tests audio chatbot conversations using generated WAV audio. The Inbound Phone Agent tests voice agents that receive calls. The Outbound Phone Agent tests voice agents that make calls, with dedicated number pooling and passive monitoring. See the broader voice AI testing overview for how these channels fit together.

Question 3

What are the 9 quality metrics for voice agents?

Accepted Answer

Audio conversations are scored on the same nine metrics as chat: bias detection, hallucination detection, completeness, context awareness, response quality, conversation flow, user satisfaction (CSAT), file handling quality, and file generation accuracy. Each is customizable with 0-100% pass/fail thresholds. The same approach powers TestMu AI's agent testing across every modality.

Question 4

How does TestMu AI test phone (telephony) voice agents?

Accepted Answer

Through two paradigms. Pre-evaluation places live test calls that simulate real inbound and outbound customer traffic, with passive monitoring and an outbound reservation pool. Post-evaluation batch-analyzes historical MP3/WAV recordings alongside transcripts, with automated speaker-identified playback and DTMF detection. Both score each call across 30+ metrics.

Question 5

What audio and speech-to-text metrics are tracked?

Accepted Answer

Audio analytics include an average pitch tracker (normal range 85-300 Hz), a Voice Quality Index (0-5 composite scale, where below 2.5 is poor), and signal-to-noise ratio. Speech-to-text accuracy is mapped with precise mismatch example logging. Conversation dynamics such as average latency, words per minute, and talk/interruption ratios are tracked alongside accuracy metrics like FCR, intent recognition, and task completion. For a deeper look at pronunciation, naturalness, and voice coverage on the output side, see text to speech testing.

Question 6

What issues does automated detection flag?

Accepted Answer

Every call is scanned for issues and tagged automatically, including patchy audio, latency issues, hallucination in call flow, transcript issues, running in a loop, incorrect STT, interruption handling, number issues, background noise, no response, and blank or empty STT.

Question 7

Can I configure voices, accents, and real call conditions?

Accepted Answer

Yes. Choose from 200+ voice profiles covering 50+ accents and dialects, with animated waveform previews, apply 15 background-noise presets such as cafe, factory, rain, and radio interference to test acoustic resilience, and use masked phone numbers across 20+ country codes. Scenarios are generated in the language you select, and phone-call languages follow the voice profiles your provider offers. Call-flow controls cover max duration (60-1800s), response timing (0.5-5.0s wait windows), and first-speaker designation.

Question 8

Does it work with Vapi, Retell, and ElevenLabs voice agents?

Accepted Answer

Any agent that answers a phone number can be tested with no code change, and voice agents can also be reached over REST, WebSocket, or an OpenAI Realtime endpoint. Connecting an ElevenLabs, Retell, or Vapi agent through the Integrations tab imports its live prompt and tool catalog, and every test call then reports whether each expected tool was actually called. See Vapi testing, Retell AI testing, and ElevenLabs testing for platform-specific setups.

Question 9

Can I load test a voice agent with concurrent calls?

Accepted Answer

Yes. Performance testing places real phone calls to your agent and holds a target number of concurrent calls for 1 to 120 minutes, replacing each call as it ends. It reports load delivery, connection and conversation reliability, and agent response latency at P50, P90, P95, and P99, broken down by concurrency level so you can find the breaking point, where the success rate drops below 80% or P95 latency passes twice its lowest-load value.

Question 10

How does the Go-Live assessment work?

Accepted Answer

Each run produces a verdict: Green (score 80 or above) is ready for production, Yellow (65-79) is ready with caveats, and Red (below 65) is not ready. The score combines four equally weighted dimensions, namely functional completeness, quality standards, risk profile, and operational readiness, and is paired with a confidence level scaled to evaluation volume. AI-powered failure-pattern analysis provides prioritized action items, which you can track over time with test intelligence.

Question 11

How do I get started with voice agent testing on TestMu AI?

Accepted Answer

Create a free account, connect your voice agent, and pick a channel: voice, inbound, or outbound. From there you can ingest docs, generate scenarios, run live or recorded calls, and review scored results. Explore agent testing and KaneAI to author and evolve your tests in natural language.

Test AI Voice Agents and Get a Go-Live Verdict

Voice Agent Testing for Audio Chatbots and Phone Agents

Voice Agent Metrics and a Go-Live Assessment

Pre- and Post-Evaluation, End to End

Total Quality Coverage for Voice Agents

UX and Business Ops Metrics

Go-Live Assessment by Confidence

Score, Simulate, Configure, and Debug Voice Agent Calls

Score Every Voice Conversation on 9 Quality Metrics

Test Live Calls Before Launch, Production Calls After

Configure Voices, Accents, and Real Call Conditions

Catch Audio, Transcription, and Flow Failures Automatically

Set Up, Run, and Schedule Voice Agent Tests

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Voice Platform, IVR, and Contact Center Testing Pages

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TestMu AI recognized in The Forrester Wave™: Autonomous Testing Platforms, Q4 2025

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Integrations

Frequently asked questions