Free tool

AHT calculator

Calculate average handle time from active handle time, after-call work, and tickets, see the capacity gain from a 10% lower AHT, then route the next workflow change.

AHT formula, example, and staffing impact in one calculator

Use the standard formula: active handle time plus ACW divided by resolved tickets. Then split where time is spent: conversation, hold, writing, documentation, or handoff. That keeps AHT from becoming a speed target without quality control.

Start with the full AHT formula

Use active handle time plus after-call work divided by resolved tickets. This keeps documentation, wrap-up, and follow-up work inside the calculation.

  • Split conversation time, hold time, and ACW when possible.
  • Compare the same channels and case types.
  • Use the same time window as your staffing data.

Use the example calculation as a sanity check

With 5,400 active minutes, 900 ACW minutes, and 700 resolved tickets, the output is 9.0 minutes AHT. If your result looks extreme, check scope before changing targets.

  • Make sure ACW is not counted twice.
  • Keep escalated tickets separate.
  • Label peak weeks before comparing them with normal weeks.

Read benchmarks by channel, not as one hard rule

A lower AHT is only healthy when first contact resolution, reopen rate, and CSAT stay stable. Use benchmarks as diagnostic signals, not agent pressure.

  • Order-status questions should not be compared with complaints.
  • Chat, email, and voice each need their own baseline.
  • Tie AHT decisions to quality metrics.

Avoid the classic AHT math mistake

Do not average separate AHT averages across agents or queues. Add all handle time and ACW first, then divide by the total resolved tickets. Otherwise a small queue gets the same weight as your largest support flow.

  • Use weighted totals when you combine queues.
  • Keep admin tasks separate if they are not customer interactions.
  • Label escalations so they do not distort normal AHT.

Turn AHT into capacity impact

The calculator shows how many hours a 10% lower AHT would free in the ticket set you entered. Use that to choose between AI draft replies, better routing, or staffing changes.

  • High ACW: improve draft replies and documentation.
  • High active time: improve knowledge, context, and macros.
  • Low buffer: check staffing and occupancy.

Enter KPI context

Calculation method

  • 1) AHT = (active handle time + ACW) / resolved tickets
  • 2) Tickets per agent/day = productive minutes / AHT
  • 3) ACW share = ACW / (active handle time + ACW)
  • Example: (5,400 active min + 900 ACW min) / 700 tickets = 9.0 min AHT

How to use this calculator in your KPI routine

  1. 1. Input current operational data

    Use recent data from the same period and team scope.

  2. 2. Check output against your targets

    Compare the score with your agreed KPI thresholds.

  3. 3. Pick the immediate next action

    Map the result to a staffing, process, or communication action.

  4. 4. Repeat on a fixed cadence

    Re-run consistently to track trend and intervention impact.

Checklist for reliable KPI decisions

  • Inputs come from a recent and comparable period.
  • Team and channel scope is aligned in advance.
  • Calculation is tied to explicit thresholds.
  • Output maps to concrete next actions.
  • Trend is recalculated and reviewed regularly.

Frequently asked questions

Should chat and email be split?

Yes, ideally calculate AHT per channel and then use a weighted total.

Is lower always better?

Not always. Extremely low AHT can signal quality trade-offs.

How should ACW be used in planning?

Treat ACW as a fixed workload component in your staffing model.

What is the AHT formula?

The basic formula is: total handle time plus after-call work divided by resolved tickets.

What is a healthy AHT benchmark?

Benchmark by channel and case type. Simple ecommerce order questions often behave very differently from technical or escalation work.

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Need help with implementation?

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