Summary of Better Reporting Calculations

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    Accurate Customer Service Reporting with Median & Percentile

    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.

    • The traditional "average" calculation can be easily skewed by extreme values.
    • GrooveHQ's new feature allows you to choose between average, median, or percentile for your reporting metrics.

    Understanding Different Customer Service Reporting Calculations

    Here's a breakdown of how each calculation works and when to use them:

    Average (Mean)

    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.

    • Use the average when you have a consistent flow of customer service conversations and want a general overview.
    • This is best for teams with consistent conversation metrics.

    Median

    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.

    • Use the median when you want to avoid skewing your customer service reporting data due to outliers.
    • Ideal for teams with varying conversation metrics, like high-volume days versus slow days.

    Percentile

    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.

    • Use the percentile when you want to understand how your customer service metrics perform for specific segments of your customer base.
    • Great for teams who want to analyze specific customer segments, like VIPs or new customers.

    Choosing the Right Calculation for Your Customer Service Team

    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.

    GrooveHQ: Empowering Better Customer Service Reporting

    By offering these options, GrooveHQ empowers customer service teams to gain a deeper understanding of their reporting data and make more informed decisions.

    • More accurate insights into customer support performance
    • Improved understanding of customer behavior and expectations
    • Data-driven decisions to enhance customer service strategies

    Where to Customize Your Customer Service Reporting Settings

    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.

    Key Takeaways for Customer Service Teams

    • Avoid skewed reporting data by understanding the differences between average, median, and percentile calculations.
    • Choose the calculation that best represents your customer service metrics and helps you make informed decisions.
    • Utilize GrooveHQ's flexible reporting settings to gain a deeper understanding of your customer interactions.

    Conclusion

    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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