Setting Quality Targets: Analyzing Call Centre Performance

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SUMMARY

The discussion focuses on analyzing call center performance metrics, specifically the quality target of answering calls within 30 seconds. The average answer time is 28 seconds with a standard deviation of 2 seconds, indicating a normal distribution. To determine the percentage of customers kept waiting too long, one must calculate P(Z < 30) and subtract this value from 1. Approximately 68% of calls fall within one standard deviation of the mean, providing a basis for further analysis.

PREREQUISITES
  • Understanding of normal distribution and standard deviation
  • Familiarity with Z-scores in statistics
  • Basic knowledge of call center performance metrics
  • Proficiency in statistical software or tools for calculations
NEXT STEPS
  • Learn how to calculate Z-scores for normal distributions
  • Explore statistical software options like R or Python for performance analysis
  • Study the implications of standard deviation in service level agreements
  • Research best practices for setting and measuring call center quality targets
USEFUL FOR

Call center managers, performance analysts, and anyone involved in optimizing customer service operations will benefit from this discussion.

xargon
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Hi,

This is not a physics question. However, I was hoping someone could help me.

A call centre sets a quality target of answering the telephone within 30 seconds. The results of monitoring show a normal distribution with an average answer time of 28 seconds and a standard deviation of 2 seconds.
question: what percentage of customers are still being kept waiting too long?

Thanks,

xargon
 
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1 SD to the right of the mean is 30 s. I think you need to work out P(Z < 30) and take that away from 1, though I can't remember how to do that.
 
about 68% of the area of the normal distribution lies between minus 1 sd and plus sd from the mean. So I think you can find the answer from there by yourself...
 

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