Are you tired of one or two outliers skewing your customer service reporting data? GrooveHQ understands the frustration, and they've introduced a new way to calculate reporting metrics that provides more accurate insights.
Here's a breakdown of how each calculation works and when to use them:
The average, or mean, is calculated by adding up all the numbers in a dataset and dividing by the total count. This works well for datasets with similar values. However, if there are outliers (extremely high or low values), they can significantly distort the average.
The median solves the outlier problem by sorting the numbers in a dataset and taking the middle value. This ensures that extreme values don't influence the overall result. The median provides a better representation of the "typical" value in your dataset.
The percentile allows you to analyze data at different points within the dataset. For example, you can see the value that represents the 80th percentile, which tells you the metric for 80% of your customers.
GrooveHQ recommends using the median calculation by default for new accounts, as it provides the most accurate representation of customer service data. For existing accounts, the default is still average, but you can easily switch to median or percentile in your settings.
By offering these options, GrooveHQ empowers customer service teams to gain a deeper understanding of their reporting data and make more informed decisions.
To adjust your reporting settings, navigate to Settings > Reports > Preferences.
Gain control over your customer service reporting data, choose the calculation that best suits your needs, and unlock valuable insights into customer interactions.
GrooveHQ's new reporting settings empower customer service teams to analyze their data more effectively and make data-driven decisions. By embracing median and percentile calculations alongside the traditional average, you can achieve a more accurate representation of your customer service performance and drive improvements across your team.
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