Definition
Interruption detection is a call analysis method that identifies moments when one speaker cuts off another before they finish speaking. It flags these overlaps automatically, without requiring a human to listen to the call.
Sales teams, contact centers, and multi-location operators use it to surface agent behavior patterns that damage conversion rates. A rep who consistently interrupts prospects signals a coaching problem, not just a bad day.
Here's why that matters. Interruptions correlate with lower close rates and higher customer frustration. Catching them at scale, across hundreds or thousands of calls, is not possible through manual review. Automated detection makes the pattern visible.
The system works by analyzing audio timing data. When two voice signals overlap beyond a defined threshold, the event is logged, timestamped, and tied to the specific agent and call. Patterns emerge across calls, not just individual incidents.
Built on 25 years of proprietary call data, Convirza uses interruption detection as one signal within its Embedded Conversation Intelligence framework, pairing it with emotion detection and talk ratio analysis to give operators a complete picture of call quality.
For context on how interruption detection fits into broader call analysis, see Call Analytics.
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