Cycle time scatterplot for Jira
Monitor your cycle times. Forecast issue completion times. Observe your cycle time trend.
Monitor your cycle times. Forecast issue completion times. Observe your cycle time trend.
In the Cycle Time Scatterplot for Jira, each data point corresponds to an individual completed issue on your board in Jira. This diagram shows you when issues have been finished and the time they took to be resolved. The dots’ height represents their cycle times - the higher the dot, the longer it took for that issue to be completed.
Observing and analyzing your cycle times is key to determining the rate at which you deliver value to your customers. The goal is to reduce the delivery times to an optimal level for your team’s capability.
By clicking on each dot, you will be able to see each issue in more detail - this includes information like the type of the issue and a direct link to it on your Jira instance. You can also use the Cycle Time Scatterplot for Jira to perform an analysis of the time that the issue has spent in each process state.
You will find that issues with the same cycle time and delivery date are grouped together. Click on the dot to expand the issues and assess them individually.
The Cycle Time Scatterplot for Jira uses the cycle times of all issues completed within a specific time frame as a basis to produce a probabilistic delivery forecast. The dotted horizontal lines that you can spot across the graph are called percentile lines. Percentiles can be used to establish service level agreements and the probability of different commitment points being met. Higher percentile points to a higher certainty that an assignment will be finished on time.
You can filter your data by either issue type or class of service. That way, you can provide different SLAs that are tailored to the different types of issues you’re committing to.
With the “Process Metrics” data table on the Cycle Time Scatterplot for Jira, you can assess both your cycle times and the probabilities that come with each issue. This view is a representation of your team’s performance.
You can evaluate the cycle times that come with each percentile per process state to see which step in your workflow has the most significant impact on your performance.
The dotted green line that is stretching across the graph is your cycle time trendline. It uses polynomial regression to plot the movement of your cycle time trend over the selected time period.
If the trendline goes up, this is a red flag indicating that your team is struggling to deliver results at a consistent rate. To avoid issues being forgotten or left idle, consider putting explicit policies in place, to swarm any issues that pass certain percentile lines.
By using the ‘Percentiles’ widget on the Cycle Time Scatterplot for Jira, you can monitor any changes in your cycle times and their probabilities over time. Ideally, you should find that the percentile lines slightly drop, while staying close to each other. This trend denotes that your workflow is operating efficiently and your team is delivering value at a consistent pace.
If you find that the lines rise, check out your work in progress. Applying WIP limits to your workflow states and make sure everyone sticks to them!
The Cycle Time Scatterplot for Jira enables you to quickly spot and analyze single issues that break the mould. These are often forgotten or neglected issues in your process. Issues that have significantly longer cycle times make good cases for examination, in order to identify any process impediments.
To identify patterns in your data. Gaps, high variability, clusters of dots or a progressively growing triangle shape - these are warning signs that bottlenecks are lurking in your workflow.