The original title is about perceived latency in voice AI experiences. Let me rewrite this for a mobile feed.

Short summary

This article argues that perceived latency — the silence users experience after speaking to a voice assistant — is an untracked KPI that silently kills adoption. Beyond 700-800ms of unmanaged silence, users perceive the experience as broken, regardless of answer quality. The author distinguishes technical latency from perceived latency and advocates for engineering processing signals (audio/visual cues, interstitial content) to mask wait times, citing examples from Scenaro and Urbansider.

• •Unmanaged silence beyond 800ms causes users to abandon voice assistants, yet no standard analytics tool tracks this gap
• •Perceived latency can be engineered independently from technical latency using processing signals and interstitial content
• •Latency optimization should be treated as a per-scenario trade-off, not a single number to minimize

Generated with AI, which can make mistakes.