Calculation to Forecast Abandoned Rates (or Call Handled / Capacity)

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Written by Jonty Pearce

Calculation to Forecast Abandoned Rates (or Call Handled / Capacity)

Hi

I have a excel based formula that forecasts the capacity to handle at interval level although it seems quite different to what we see in the WFM systems.

Can anyone share one they currently use?

Question asked by Sanjay

Answer for Calculation to Forecast Abandoned Rates (or Call Handled / Capacity)

So, you are wanting to predict what your abandonment rate would be based on how your staffing compares to your forecasted volumes?

I have done something like that before.  I believe I did a regression analysis to see the inverse correlation between Occupancy and Abandons (did the same with SL’s and ASA’s and such as well).

So, you take your historical abandon % at various historical Occupancy levels.  Hopefully there is a strong inverse correlation between the two so you can predict one by knowing the other.

So, if you can predict how busy your agents will be, you are then predicting what % of your calls are abandoned.

You predict how busy your agents will be by taking the number of agent FTE you will have on the phones (taking into account shrinkage) and compare that to the estimated talk time you are predicting. Or something similar to that.

Hope that helps.

With thanks to Kory

Answer for Calculation to Forecast Abandoned Rates (or Call Handled / Capacity)

In order to do this you will need to create a call abandon curve. This article should help you to do this.

https://www.callcentrehelper.com/how-to-bring-down-your-call-abandon-rates-50805.htm

With thanks to Jonty

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."

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