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The AHT Glide Path (Learning Curve) Calculation

AHT Glidepath Concept with clock and calculator
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Written by Jonty Pearce

Planning for a gradual reduction in Average Handle Time (AHT) over a specific period is a great way to track how long it takes for a new member of staff to reach proficiency. 

But what is the AHT Glide Path (Learning Curve) Calculation?

So when Luis asked our Community of industry professionals about this, we wanted to share their answers with you:

What would be the the best way to calculate the AHT Glide Path?

Is there any template or standard formula I could use?

The AHT Glide Path Explained

I presume that by “AHT Glide Path” you mean the time that it takes for a new member of staff to bring their AHT down to the level of proficient staff.

The standard calculation for AHT can be found in our article: How to Measure Average Handling Time (AHT)

Watch this video which explains the AHT Glidepath, and you can also download a free copy of the spreadsheet.

Contributed by: Jonty

Four Steps to Calculate an AHT Glide Path

Calculating the AHT Glide Path involves setting a target reduction in Average Handle Time (AHT) over a defined period and mapping out incremental milestones to reach that target.

There isn’t a one-size-fits-all formula, but a standard approach can be customized to fit your contact centre’s specific goals and operational realities.

Following these steps can help you put something together that works for you:

Step 1 – Determine the Current AHT

Take a look at your current average handling time and use this formula to calculate it

Average Handling Time (AHT) = (Total Talk Time + Total Hold Time + Total Wrap Time) ÷ Number of Calls Handled

Step 2 – Decide on a Target AHT

Decide on the Average Handling Time you want to achieve by the end of the glide path period.

Step 3 – Establish the Timeframe to Achieve the Target AHT

Decide the period over which the target AHT should be reached (e.g. 12 weeks, 6 months , 12 months etc.)

Step 4 – Create the Glide Path

Break down the total AHT reduction into smaller, incremental reductions for each time interval (e.g., monthly or quarterly).

For this you could either use a linear glide path, where the AHT is reduced evenly over the period, or a non-linear glide path if you anticipate faster reductions at the beginning or end of the period.

Contributed by: Chris

Use Existing Staff as a Baseline

I would use existing staff to see how long it takes for new starters to get up to speed. We used to track AHT weekly for our new starters so that we could use the data in our forward planning.

It usually ended up that they took around double the normal time to handle a call to start with, which then dropped off to “normal” AHT by the end of week 7 or 8.

Contributed by: Laura

Two Possible Approaches for an AHT Glide Path

I think there could be 2 approaches here.

Approach One

You can track the average AHT for the whole new hire (NH) group and you measure how fast that average gets to the target/level of tenured advisors.

For planning purposes I’d use this one because you need the average anywhere.

Approach Two

Each week you can track the % of NHs that started achieving the target. The lengths of the learning curve in this case will be until the moment everyone is this group achieve the goal and you’ll get a 100%. That will be longer than if you calculate the average of the group.

To understanding how the group progresses this one is best.

Contributed by: Polina

This article was made possible due to the great community of experts we have at Call Centre Helper, to get involved just join our LinkedIn Community and and if you aren’t already make sure you are following us on LinkedIn to see our latest content.

You may also find these other articles on AHT helpful to read next:

Author
Jonty Pearce

Jonty Pearce walked into his first call centre in 1989 and has been hooked ever since. He founded Call Centre Helper in 1989.

He is an Engineering Graduate with a background in marketing and publishing. In 2020 he won the AOP Digital Publishing Award for The Best Use of Data.

He writes and speaks on a wide variety of subjects - particularly around forecasting and scheduling. His in depth knowledge of forecasting algorithms has earned him the nickname "Mr Erlang."

Connect with Jonty on LinkedIn

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Reviewed by: Robyn Coppell