What factors impact call center average handle time?

What factors impact call center average handle time?

Should handle time predictions take into consideration things like the time of year, day of week and time of day? How can we build those factors into our forecasting?

    Requires Free Membership to View

    When you register, you'll begin receiving targeted emails from my team of award-winning editorial writers on the latest customer relationship management (CRM)and call center technology issues today. Our goal is to keep you informed on the hottest issues facing this fast-changing industry.

    Hannah Smalltree, Editorial Director

    By submitting your registration information to SearchCRM.com you agree to receive email communications from TechTarget and TechTarget partners. We encourage you to read our Privacy Policy which contains important disclosures about how we collect and use your registration and other information. If you reside outside of the United States, by submitting this registration information you consent to having your personal data transferred to and processed in the United States. Your use of SearchCRM.com is governed by our Terms of Use. You may contact us at webmaster@TechTarget.com.

Some call centers do need to adjust handle times by day and time. For example, a call center that has seasonal fluctuations in its volume and therefore hires more staff at certain times of the year may have increased handle times when they bring in a large group of new trainees. Also, call centers with enrollment periods or other call types that occur only part of the year will have different handle times when those call types are in play.

Fluctuations by day of week or time of day are less likely, but may occur. For example, a skeleton crew that gets few calls evenings and weekends may spend more time on the phone with customers than the weekday shifts do when the queue is busy. The best way to assess this for your call center is to look at historical data and see how it changes. Call center forecasting should take into account historical data and patterns.

This was first published in March 2008