how to calculate workload in call center
However, as you get closer and approach 3-6 weeks in advance, the weekly forecast should be adjusted since it was originally based on long-term data. There are proven call center forecasting methods for this.
The AHT forecast is essentially created in the same way as the call volume forecast:
- That's led Live Reps to its best year ever, with the company on pace to make $3 million in revenue this year. These mathematical models are based on the arrival rates and usage patterns in telephone calling and there are variations of the Erlang formulae to equate with different types of telephone situations. Have you ever found yourself waiting hours for a customer service agent to answer your call? Most call centers simply use an average number for handle time across the board, which may be a dangerous assumption if theres significant variance. But service is not affected to the same degree each way, and this is a terribly important phenomenon to understand about call center staffing. Therefore, workload is calculated for each interval of the day so staffing levels can be increased or decreased throughout the day to get the just right number in place. Just download it as a PDF and read it offline, anytime, anywhere. Cost Per Call = (Total Operating Costs + Labor Expenses of the Business) / Number of Calls. Whats the point of handling thousands of calls if you cant provide quality customer service on any of them? Once both forecasts are built, multiply the call volume by the handle time to derive your workload forecast. The calculator works out number of call center agents using Erlang C formula for given call load and service level.
- If your center handles contacts from different markets, keep in mind that your callers may live in a country (or state) that has different public holidays than your native ones. If youre serious about improving the forecast quality and efficiency of your contact center, you may want to consider using professional WFM software.
Mar 8.5% Its about how quickly they complete their tasks. Easter) resulting in different dates each year. For example, if half the calls go into queue and wait an average of 60 seconds, and the other half go to an agent immediately and wait 0 seconds, the ASA would be 30 seconds. We refer to this unproductive time as staff shrinkage and define it as any time for which staff are being paid but not available to handle calls.
Try to gather data from the past 36 months to understand volume trends and seasonality patterns over time. Second, calculate the monthly averages for the AHT and compare them to the annual average AHT to determine the percentage deviation.
Short-term forecasting is the input to the scheduling process.
FTE: A staffing arrangement equivalent to one person working full time. Customer expectations have certainly risen when it comes to speed of answer expectations.