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Value stream management (VSM) is a business technique that focuses on how an organization’s software development lifecycle (SDLC) is delivering value to its customers. Value streams are a set of steps an organization takes in order to deliver value to its customers, from the initial request to the final delivery of business value. The objective is to view SDLC from the point of view of a customer.
Flow metrics measure how much value is being delivered to the customer through the product’s value streams. It also measures the time it takes to deliver value while identifying any bottlenecks in the end-to-end SDLC.
This dashboard shows the following six flow metrics for VSM analytics:
Throughput: The number of issues completed in a set time period
Work profile: The proportion of each issue type delivered in a set time period
Lead time: The time from issue creation to completion
Cycle time: The elapsed time from when work is started to when it is completed
Work in progress: The number of issues that have been started and remain either active or waiting
Flow efficiency: The proportion of time that issues are active against their total cycle time
You can filter the entire dashboard by projects, a specific date range, Jira issue types, and Jira issue labels.
In-Progress statuses: Select the Jira issue statuses that you categorize as in-progress statuses. The available issue statuses in the dropdown belong to the “In progress” status category for Jira issues.
Done statuses: Select the Jira issue statuses that you categorize as done statuses. The available issue statuses in the dropdown belong to the “Done” status category for Jira issues.
Active statuses when work is in progress: Select the Jira issue statuses to be considered as active statuses once the work has started. Active statuses are a subset of the statuses chosen in “In-Progress statuses” above. Flow efficiency measures the time spent actively working on an issue against the total cycle time.
You can set default values for each of these mappings by editing the settings of each control. Learn more about how to manage controls.
This dashboard contains the following charts:
Summary
Five single value charts showing the issues completed per month, issues in progress, lead time, cycle time and flow efficiency over the selected date range
Throughput
The number of issues completed over the selected date range
Work profile
The proportion of each issue type completed over the selected date range
Lead time
The time (in days) taken from when an issue was created to when it was completed.
If an issue transitions in and out of “Done” status more than once, then the date corresponding to the latest transition into the “Done” status is used. Also, only the issues with the current status as “Done” are considered.
Cycle time
The time (in days) when work was started to when it was completed.
If an issue transitions in and out of the “In progress” status more than once, then the date corresponding to the first transition into the “In progress” status is used.
If an issue transitions in and out of “Done” status more than once, then the date corresponding to the latest transition into the “Done” status is used. Also, only the issues with the current status as “Done” are considered.
Issues in progress
The average number of issues in progress over the corresponding one-month period
Flow efficiency
Flow efficiency for each issue type over the selected date range
Flow efficiency measures the time spent actively working on an issue against the total cycle time. This chart also shows the overall efficiency across all selected issue types.
Detailed table view
Shows the status transitions for Jira issues.
It shows only issues that are still open at any point during the selected date range. The row limit for the table is 10,000.
You can also filter this data by issue key using the “Dropdown” above the table.
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