#4 Report of the Week: Issue Resolution Days Over Time with Trend

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In any project or team, tracking the efficiency of issue resolution is key to improving productivity and identifying bottlenecks. This week’s report offers a detailed visualization of how issue resolution performance has evolved over time, allowing teams to gain actionable insights into their workflows. Let's break down what this report reveals.

The report uses a time-based chart to display performance trends. The x-axis represents time, broken down by months over the past year. Users can adjust the timeline, making it easy to view performance over different periods depending on the scope of analysis.

On the y-axis, you'll find the average number of days taken to resolve issues each month. This key performance indicator is represented by bubbles, each corresponding to a specific month. The positioning of the bubbles along the y-axis makes it simple to gauge which months had faster or slower resolution times.

Issue Volume = Bubble Size

The size of each bubble tells an additional story: the volume of issues resolved within that month. Larger bubbles indicate months when the team handled more issues, while smaller bubbles suggest periods of lower volume. This visual cue helps teams quickly assess whether months with higher issue resolution volumes significantly impacted resolution speed.

Efficiency Trends

Color coding is used to highlight performance trends. The bubbles are conditionally formatted based on resolution speed:

• The top two months, with the quickest resolution times, are colored red to draw attention.

• The two months with the slowest resolution times are marked in gray.

• The remaining months fall in between, represented in green.

This color coding allows you to immediately see which months were particularly efficient and which ones might need further investigation.

Overall Trends in Resolution Speed

A dashed line runs across the chart, showing the linear trend in resolution days over the selected period. This trend line offers a clear picture of whether resolution efficiency is improving or declining over time. It's a helpful tool for identifying long-term trends that may not be immediately obvious from looking at the individual bubbles.

Filtering Options

The report allows users to filter data by several categories: Project, Issue Type, Priority, and Assignee. This allows users to narrow down the analysis to specific segments of the team or project, providing even deeper insights. For example, you could focus solely on high-priority issues or analyze performance for a specific assignee to see how different factors impact resolution times.

Insights

• Identify outliers: Easily spot months with unusually high or low resolution times and investigate the reasons behind those fluctuations.

• Understand the relationship between volume and speed: See if resolving more issues in a given month correlated with slower or faster resolution times.

• Track efficiency trends: Use the trend line to assess whether issue resolution is improving over time or if signs of inefficiency are creeping in.

• Compare performance across variables: By using the filtering options, teams can compare performance across different projects, issue types, priorities, or assignees to identify areas for improvement.

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.