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Glossary

Average Handle Time

Average handle time (AHT) is the average total time a support agent spends actively working on a ticket — including reading, composing replies, and any follow-up — from when they first touch it to when it is closed.

What it means

Key insight

AHT measures agent efficiency, but optimizing it blindly backfires. The goal is not the lowest AHT — it's the lowest AHT consistent with high resolution quality and CSAT.

AHT = total active handle time across all tickets ÷ number of tickets handled. Active handle time includes time spent reading the conversation, composing responses, and any wrap-up tasks (tagging, categorizing, noting outcomes). It excludes time the ticket sits in queue waiting for assignment. In ecommerce support, AHT varies sharply by ticket type. Order-status inquiries handled by a human take 2–4 minutes. Return and refund disputes can take 8–15 minutes. Complex fraud or damaged-goods cases may take 20+ minutes across multiple interactions. Mixing all ticket types into a single AHT figure obscures where agent time is actually going. AI assistance directly compresses AHT for human-handled tickets. When an AI drafts the first reply, surfaces the relevant order data, and pre-fills tags, agents spend less time on each interaction without sacrificing quality. The net effect is more tickets handled per agent per hour without adding staff. AHT should always be evaluated alongside CSAT and FCR. An agent with low AHT who frequently sends incomplete answers that trigger follow-up tickets is creating more work, not less.

Why it matters

AHT is a core capacity-planning input. Knowing average handle time lets you calculate how many agents you need at a given ticket volume, where AI can compress handle time most, and what the cost impact of routing changes would be. It's also a useful coaching tool — outlier agents with very high AHT may need additional training or tools.

How Bookbag helps

AI-drafted replies cut handle time

Bookbag surfaces a suggested reply for every human-handled ticket, pulling in order data and policy details so agents can review and send rather than compose from scratch.

AHT reporting by ticket type

Bookbag breaks down handle time by category so you can identify which ticket types are consuming the most agent time and where automation would have the most impact.

Context on first view

Agents see the customer's full order history and prior conversations immediately on ticket open, eliminating lookup time that inflates AHT.

Frequently Asked Questions

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