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How to Reduce Call Center AHT with Speech Analytics

AHT (Average Handling Time) is the most important efficiency metric for a call center. Every second of reduction multiplies its impact by total call volume. But reducing AHT without sacrificing quality requires knowing exactly where time is being lost โ€” and that's only possible with transcript analysis.

Why high AHT is a symptom, not the problem

Many call centers try to reduce AHT by putting time pressure on agents. The usual result is a temporary AHT reduction at the cost of increased repeat calls (customers calling back because the issue wasn't resolved) and deteriorating customer satisfaction. This is a local optimization that worsens global KPIs.

High AHT is a symptom. The real causes are: excessive time searching for information in systems, unnecessary transfers due to knowledge gaps, inefficient verification processes, or incomplete resolution generating repeat calls. Only transcript analysis can identify which of these causes predominates in your operation.

How speech analytics identifies the causes of high AHT

Transcript analysis with CallsIQ identifies:

Silences and hold times

Silence moments during calls where the agent is searching for information are detectable in the transcript by phrases like "one moment, let me check...", "I'll verify..." and response timing patterns. These search moments represent 20-35% of total AHT in many call centers.

Redundant explanations

Agents who explain the same process two or three times without verifying client comprehension on the first explanation unnecessarily extend calls. Transcript analysis detects these repetition patterns and converts them into specific training material.

Avoidable transfers

Transfers add 3-8 minutes to total AHT and generate client frustration. Analysis of transfer reasons in transcripts identifies what inquiry types are most frequently transferred and whether those transfers are necessary or avoidable with additional training.

25%
of AHT attributable to information lookup in systems
35%
of transfers are avoidable with adequate training
20 sec
average AHT reduction per process optimization identified

Action plan to reduce AHT

The process: analyze 200 transcripts from highest-AHT queues โ†’ identify the top 3 time-waste patterns โ†’ prioritize the highest-impact intervention (training, process, or system) โ†’ measure AHT impact at 4 weeks โ†’ repeat with the next pattern.

Important warning: Don't compress AHT without measuring impact on FCR (First Call Resolution) and NPS. An AHT reduction accompanied by an increase in repeat calls is not an operational improvement โ€” it transfers the cost to the customer and subsequent calls.

Identify what's driving your AHT with real data

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