Standard Metrics
Every call automatically gets analyzed for 9 standard metrics. Audio-based metrics require a recording_url; transcript-based metrics only need a transcript.
Metric reference
latency_ms — Response Latency
Time between the user stopping speaking and the AI starting to respond, per turn.
Requires: Audio recording
user_interruptions — User Interruptions
Times the user spoke over the AI.
Requires: Audio recording
ai_interruptions — AI Interruptions
Times the AI spoke over the user.
Requires: Audio recording
silence_detection — Silence Detection
Silent periods per channel (AI and user separately).
Requires: Audio recording
stop_time_after_interruption — Stop Time After Interruption
How quickly the AI stops talking after the user interrupts.
Requires: Audio recording
transcription_accuracy — Transcription Accuracy
Word Error Rate (WER) comparing the provided transcript against the generated one.
Requires: Both a provided transcript and audio (for generated transcript comparison)
voice_change_detection — Voice Change Detection
Detects significant changes in the AI agent’s voice characteristics during the call.
Requires: Audio recording
voice_tone_clarity — Voice Tone & Clarity
Scores the clarity and naturalness of the AI’s voice on a 1–5 scale.
Requires: Audio recording
word_per_minute — Word Per Minute (WPM)
AI agent’s speech speed.
Requires: Audio recording