SalesResearch1 min read
Voice Response Benchmark Report
A benchmark checklist for response-time targets, interruption handling, and perceived conversation quality.
Voxistry ResearchPublished February 2026
For Leadership, OperationsThe Latency Gap
Customers notice when AI voice systems pause, talk over them, or recover slowly after an interruption. This guide outlines the operating targets teams should watch before moving a voice worker into production.
Key Findings
- Engagement Threshold: Track end-to-end response timing, not just model latency.
- Sentiment Impact: Review interruption handling and recovery moments during QA.
- Conversion Signal: Compare appointment-setting and qualified-transfer outcomes before and after prompt or voice-runtime changes.
Technical Requirements
To achieve these benchmarks, teams must move beyond simple REST-based voice APIs to real-time AudioSocket and WebSocket streams that keep responses inside natural conversational timing.
Put the framework against a real workflow
Review the role, systems, human boundary, and success measures before moving AI into live operations.