In text, a 300ms delay is invisible.
In voice, it's a broken conversation.
Voice agents are a different beast to test. A single bad second of audio can erode user trust entirely: a glitch, an awkward pause, a voice that suddenly sounds like a different person.
And most test suites only cover the happy path. Real users don't:
→ They interrupt mid-sentence → They mumble "mm-hmm" without taking a turn → They call from noisy cars, kitchens, and crowded rooms → They speak with accents your ASR has never heard
The hard part isn't measuring overall accuracy. It's finding which failures cluster around which conditions, because that's where your real-world gaps live.
Full breakdown of the 4 hardest parts here 👇 https://lnkd.in/e7WtY_yq