#10 Report of the Week: Issue Resolution Time (Boxplot chart)

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This week, we focus on the report of Issue Resolution Time visualized as a Boxplot Chart. This report shows the distribution of issue resolution times, offering a clear view of how quickly (or slowly) tasks are being addressed. Let’s break down the key components of the report, explore how it works, and explain how it can be used to optimize their issue resolution processes.

At its core, the boxplot chart is a statistical tool that visualizes the distribution of data, showing how spread out resolution times are and highlighting any outliers. This report helps to understand the typical range of time it takes to resolve issues, identify trends, and spot unusual patterns that may need attention.

The boxplot offers a comprehensive look at issue resolution times, making it easy to see:

• The central tendency: What the average or median resolution time is.

• The spread of the data: How far apart the resolution times are, giving insight into variability.

• Outliers: Which issues took significantly longer or shorter to resolve than the rest.

Key Data Points: What the Boxplot Shows

The boxplot chart in this report visualizes 5 key data points that describe the distribution of issue resolution times:

1. Minimum: The shortest time it took to resolve an issue.

2. First Quartile (Q1): The point at which 25% of issues are resolved. It indicates the lower range of resolution times.

3. Median (Q2 or Average): The middle value, showing the typical resolution time.

4. Third Quartile (Q3): The point at which 75% of issues are resolved, highlighting the upper range of typical resolution times.

5. Maximum: The longest time it took to resolve an issue.

This setup offers a complete view of how issue resolution times are distributed, giving teams insight into their resolution processes' central tendency and variability.

Visualization: How the Data Is Displayed

The report is visualized using a horizontal bar chart with a boxplot series type, which is ideal for displaying distributions. Each box represents the interquartile range (the middle 50% of data points), while the whiskers extend to the minimum and maximum resolution times.

Drilling Down into Specific Data Segments

One of the most powerful features of the Issue Resolution Time Boxplot Report is its flexibility. The report can be filtered by several dimensions, including:

• Project: Focus on specific projects to see how resolution times differ across teams or initiatives.

• Issue Type: Analyze resolution times based on the type of issue (e.g., bugs, tasks, stories, or sub-tasks), which can reveal differences in how various tasks are handled.

• Assignee: Drill down into individual team members’ performance, seeing how quickly they resolve issues compared to others.

Conclusion

The Issue Resolution Time Boxplot Report is a powerful tool for teams and project managers looking to optimize their workflow. By visualizing the distribution of resolution times, it offers deep insights into how quickly issues are being resolved and where there may be room for improvement.

Whether you’re tracking trends over time, comparing performance across projects or team members, or identifying outliers in your process, this report provides the data you need to make informed decisions and enhance efficiency.

Try out this report on your data! Export the report definition and paste it into your account to analyze your data with a couple of clicks.