Skip to content
feelingstream
//Speed & efficiency

Reduce dead air and call silence

On a lot of calls the customer is simply waiting. The agent is searching a slow system, hopping between screens, or unsure of the answer and stalling. Those silences don't show up in a script or a wrap-up code, but they stretch handle time and quietly erode the experience — dead air feels like being ignored.

Because silence is invisible in most reporting, the cost is hidden. Teams see long average handle times and assume the calls are complex, when a share of that time is agents fighting their tools or hunting for information they should have at their fingertips.

How Feelingstream helps

Feelingstream transcribes calls with time-aligned speech-to-text, so periods of silence are detected and measured rather than guessed at. Dead air becomes a number you can track.

That silence can be broken down by topic and by agent. When a particular topic carries consistently high silence, it usually points to a slow system or a knowledge gap; when it clusters with certain agents, it points to enablement. Either way the cause is specific, not a vague "calls are long".

Fix the tooling or close the knowledge gap, and you can watch silence fall on that topic and handle time come down with it — without pushing agents to rush.

What you can measure

  • Silence percentage per topic and per agent
  • Average handle time, and its relationship to silence
  • Topics where dead air points to a system or process problem
  • Handle-time improvement after a tooling or knowledge fix

Where to go next

Ready to turn dead air into a metric you can act on? Book a demo.

Frequently asked questions

Why does silence on calls matter?
Long pauses usually mean an agent is searching a system, waiting on a slow screen or unsure of the answer. That dead air lengthens handle time and leaves the customer feeling neglected, so it is a reliable signal of a fixable problem.
How does Feelingstream measure silence?
Calls are transcribed with time-aligned audio, so periods of silence are detected and measured. Silence can then be broken down by topic and by agent to show where it clusters.
What causes the silence you find?
Common causes are slow or hard-to-navigate tools, missing knowledge, and complex processes. Grouping silence by topic points to the systems or knowledge gaps behind it.
Isn't some silence normal?
Yes — brief pauses are natural. The aim is not to eliminate silence but to find the excessive, avoidable dead air tied to specific topics or tools and address the cause.

← All use cases