Average Handle Time (AHT) is a workforce management metric that calculates the average duration of a complete customer call or chat interaction, including hold time, talk time, and any related after-contact work. While often used to measure productivity, AHT should always be balanced against quality metrics like CSAT to ensure agents aren't sacrificing depth for speed.
?
What distinct components make up Average Handle Time?
AHT = (Total Talk Time + Total Hold Time + Total After-Call Work) / Number of Resolved Tickets. In digital-first support, "After-Call Work" often includes tagging, documentation updates, and routing, which are prime targets for automation tools.
?
How can Support Ops optimize AHT without hurting quality?
Optimization comes from removing "Administrative Friction." Implementing canned responses (macros), AI-powered ticket summaries, and deep integrations that pull customer data directly into the agent's view can reduce AHT by up to 30% while actually improving the accuracy of responses.
?
Why is over-relying on AHT dangerous for Support teams?
If AHT is the primary KPI for bonuses, agents will rush calls or provide shallow "band-aid" fixes to meet targets. This leads to higher "Reopen Rates," lower First Contact Resolution, and long-term customer frustration.
?
How does AHT vary by channel in SaaS?
Phone AHT is typically 6-10 minutes. Chat AHT is highly variable but should target under 15 minutes of "Logged Time." Email "Handle Time" is harder to measure but is often calculated by active time spent on the ticket thread within the helpdesk.
Knowledge Challenge
Mastered Average Handle Time (AHT)? Now try to guess the related 5-letter word!
Type or use keyboard