Cycle Time Scatterplot for ZenHub
Evaluate your performance. Predict issue completion times. Identify bottlenecks easily.
Evaluate your performance. Predict issue completion times. Identify bottlenecks easily.
In the Cycle Time Scatterplot for ZenHub, each data point represents a completed issue from your ZenHub board. This diagram displays the date that an issue was completed, and how long it took to finish. The height of the dots represents their cycle times - the higher the dot, the longer the delivery time.
The Cycle Time Scatterplot for ZenHub enables you to actively evaluate how quickly you are delivering value to your customers. Aspire to reduce your team’s delivery times to an optimal level.
By clicking on the dots, you will be able to see a detailed summary of each issue. This includes the type of the issue and a direct link to it on ZenHub. You can also perform an analysis of the time that the issue has spent in each process state.
Issues with the same cycle time and delivery date will be plotted together. Click on the dot and expand the list of details to undertake an individual analysis.
The Cycle Time Scatterplot for ZenHub uses the cycle times of all issues completed within a specific time frame to produce a probabilistic forecast based on your past performance data. The dotted horizontal lines stretching across the graph are called percentile lines. Percentiles are used to establish service level agreements and define the probability of different commitment points being met. A higher percentile shows that there's a greater chance of completing an assignment on time.
You can filter your data by issue type or class of service. That way, you can provide different SLAs for the different types of issues you’re committing to.
By using the “Process Metrics” data table on the Cycle Time Scatterplot for ZenHub, you will be able to assess your cycle times and the probabilities that come with each of them. This overview provides a strong indicator of your team’s performance.
You can evaluate the cycle times of each percentile for each process state, which will enable you to discover which step in your workflow is holding back your performance.
The dotted green line stretching across the graph is your cycle time trendline. It uses polynomial regression to indicate how your cycle time trend has been developing over the selected time period.
If the trendline goes up, this should be a warning that your team is struggling to deliver their work. To avoid issues falling by the wayside, consider implementing explicit policies to swarm work items, should they pass certain percentile lines.
The ‘Percentiles’ widget on the Cycle Time Scatterplot for ZenHub can help you observe how your cycle times and their probabilities fluctuate over time. Ideally, the percentile lines should stay close to each other, while slightly dropping over time. If you see this pattern, this means that your workflow is efficient and your team delivers value at a consistent pace.
If the lines start to go up, the first thing you should be looking at is your work in progress. Apply WIP limits to your workflow and make sure everyone adheres to them!
The Cycle Time Scatterplot for ZenHub enables you to quickly identify and analyze single issues with much longer cycle times. These are often forgotten or neglected issues in the process. Issues that strike out on their own are well worth a closer examination, as they significantly help to identify process impediments.
Look for patterns in your data! Should you find any gaps, high variability, clusters of dots or a progressively growing triangle shape, these are signs of a bottleneck that’s holding up your flow of work.