#22 Report of the Week: Control Chart for Cycle Time Analysis

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It’s time for a Report of the Week ! This week, we’re featuring a powerful Control Chart for Cycle Time Analysis, designed to help measure workflow stability and identify variations in issue resolution times.

This Control Chart provides a detailed visualization of cycle time variations within the Progress workflow cycle. Here’s what it includes:

🔵 Blue Scatter Points represent the average Progress days, indicating how long issues typically remain in progress.

📈 Dashed Median Line – tracks the median cycle time for issues In Progress, providing a benchmark for normal performance.

🟣 Upper Control Limit & 🟦 Lower Control Limit – these lines represent control limits based on monthly standard deviation, highlighting the expected range of variation.

How to understand the Chart

Understanding control limits is crucial for identifying workflow inefficiencies:

🚨 Above the Upper Control Limit – Indicates unusually long cycle times, suggesting potential bottlenecks or delays.

⚡ Below the Lower Control Limit – Represents unusually short cycle times, which may indicate rushed or incomplete work.

✅ Between the Limits – Expected normal variation, meaning the cycle time is stable and within acceptable performance thresholds.

Filters & Customization Options

This report is currently configured to:

• Show Only Story Issue Types – Providing a focused view of standard work items, but you can choose any issue type as you need.

• Analyze Data from the Last 12 Months – Offering a long-term perspective on workflow efficiency or choose any period of interest.

• Highlight the Top 10 Longest Cycle Times – Darker-colored points emphasize the top 10 days with the longest average progress days. Conditional formatting you can point out the critical values.

• Calculate Monthly Control Limits – Using the median ± standard deviation for precise trend analysis.

Key Insights You Can Gain

This report helps teams:

✅ Monitor Workflow Stability – Understand how consistent issue resolution times are over time.

✅ Detect Process Bottlenecks – Identify unusually long cycle times that may indicate inefficiencies.

✅ Improve Forecasting & Planning – Use trend insights to better estimate future work timelines.

✅ Ensure Process Efficiency – Balance speed and quality by analyzing unusually short cycle times.

Would you like to see this report with your data?

Import this report into your and start tracking cycle time variations today!

Stay tuned for our next Report of the Week, and let us know how this one helps you optimize your work processes! 🔍📊