What Is Average Handle Time?
Average Handle Time (AHT) measures how long agents spend on each contact — a core efficiency metric that must be balanced against quality.
Key Takeaways
- AHT includes active handling time and any post-contact wrap-up work.
- Lower AHT is not always better — rushing contacts degrades quality and increases repeat contacts.
- AHT varies significantly by issue type and should be segmented before comparison.
- Reducing AHT sustainably requires better tooling and knowledge, not just pressure on agents.
What average handle time includes
Average Handle Time (AHT) is the average duration of a customer interaction, including all active handling time (the time spent talking, typing, or working on a ticket while the customer is engaged) plus any after-contact work (ACW) — the administrative tasks completed after the interaction ends, such as updating records, logging notes, or sending follow-up emails. For phone contacts: AHT = average talk time + average hold time + average after-call work time. For written channels (email, chat), AHT is typically the time from opening the ticket to marking it resolved, minus any periods the ticket was waiting on the customer.
Why AHT matters and its limits
AHT directly determines how many contacts an agent can handle per shift, which drives staffing requirements and cost per ticket. Reducing AHT by 10% effectively increases capacity by ~11% without adding headcount. However, AHT is a dangerous metric to optimise aggressively in isolation. Agents under pressure to reduce handle time cut corners: they provide incomplete answers, skip verification steps, and rush customers. This generates repeat contacts, low CSAT, and lower FCR — all of which increase total cost even as individual AHT falls.
Reducing AHT sustainably
The most effective AHT reduction levers are: improving the quality and searchability of the internal knowledge base (agents spend significant time searching for answers); providing better canned response libraries for common scenarios; improving CRM and helpdesk integration so agents do not need to switch between multiple systems; streamlining after-call work through automation (auto-logging, templated notes); and better intake forms that capture the information agents need before the interaction begins, eliminating the need to ask clarifying questions.
Segmenting AHT by issue type
Blended AHT averages are hard to act on. A complex integration bug should take longer to handle than a password reset — comparing them as if they are the same type of contact obscures real patterns. Segment AHT by issue category, channel, and agent tier. Within each segment, identify the fastest-resolving agents and analyse what they do differently — their approach, their tools, their response patterns. Use this to develop training and knowledge resources that bring the rest of the team closer to the top-performer baseline.