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Operations Article | Key Operational Challenges in the BPO-ITES Industry

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Key Operational Challenges in the BPO-ITES Industry

- by Ankur Pawa & Nishant Choudhary *

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Page - 27

Measuring Call Center Performance
There are many standard traffic measurements that can be performed on a call centre to determine its performance levels. However, the most important performance measures are:

  • The average delay a caller may experience whilst waiting in a queue
  • The mean conversation time, otherwise referred to as Average Talk Time (ATT)
  • The mean dealing time, otherwise referred to as Average Handling Time (equal to ATT plus wrap up time)
  • The percentage calls answered within a determined time frame (referred to as a Service Level or SL%)

    Enhancing Operational Efficiency
    There are many refinements to the generic call centre model. Each refinement helps increase the efficiency of the call centre thereby allowing management to make better decisions involving economy and service.

    The following list contains some examples of call centre refinements: -

  • Predictive Dialling - Computer software attempts to predict the time taken for an agent to help a caller. The software begins dialling another caller before the agent has finished the previous call. This, because not every call will be connected (think of busy or not answered calls) and also because of the time it takes to set up the call (usually around 20 seconds before someone answers). Frequently, predictive dialers will dial more callers than there are agents, counting on the fact that not every line will be answered. When the line is answered and no agent is available, it is held in a retention queue for a short while. When still no agent has become available, the call is hung up and classified as a nuiscance call. The next time the client is called an agent will be reserved for the caller.

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    * Contributed by -
    Ankur Pawa & Nishant Choudhary,
    Indian Institute of Management,
    Lucknow.


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