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| -rw-r--r-- | doc/user/analytics/productivity_analytics.md | 2 | ||||
| -rw-r--r-- | doc/user/analytics/value_stream_analytics.md | 22 |
6 files changed, 12 insertions, 12 deletions
diff --git a/doc/user/analytics/img/mr_throughput_chart_v13_3.png b/doc/user/analytics/img/mr_throughput_chart_v13_3.png Binary files differindex 04fa54f323c..100c9a8557c 100644 --- a/doc/user/analytics/img/mr_throughput_chart_v13_3.png +++ b/doc/user/analytics/img/mr_throughput_chart_v13_3.png diff --git a/doc/user/analytics/img/mr_throughput_table_v13_3.png b/doc/user/analytics/img/mr_throughput_table_v13_3.png Binary files differindex 63ffb9389f4..bb63770dc3f 100644 --- a/doc/user/analytics/img/mr_throughput_table_v13_3.png +++ b/doc/user/analytics/img/mr_throughput_table_v13_3.png diff --git a/doc/user/analytics/img/new_value_stream_v13_3.png b/doc/user/analytics/img/new_value_stream_v13_3.png Binary files differindex 4284b8ab194..bc8502e85a6 100644 --- a/doc/user/analytics/img/new_value_stream_v13_3.png +++ b/doc/user/analytics/img/new_value_stream_v13_3.png diff --git a/doc/user/analytics/img/vsa_filter_bar_v13.3.png b/doc/user/analytics/img/vsa_filter_bar_v13.3.png Binary files differindex 71e59892434..506765f63cb 100644 --- a/doc/user/analytics/img/vsa_filter_bar_v13.3.png +++ b/doc/user/analytics/img/vsa_filter_bar_v13.3.png diff --git a/doc/user/analytics/productivity_analytics.md b/doc/user/analytics/productivity_analytics.md index 653836de8be..290aae6395f 100644 --- a/doc/user/analytics/productivity_analytics.md +++ b/doc/user/analytics/productivity_analytics.md @@ -13,7 +13,7 @@ Track development velocity with Productivity Analytics. For many companies, the development cycle is a black box and getting an estimate of how long, on average, it takes to deliver features is an enormous endeavor. -While [Value Stream Analytics](../project/cycle_analytics.md) focuses on the entire +While [Value Stream Analytics](../analytics/value_stream_analytics.md) focuses on the entire Software Development Life Cycle (SDLC) process, Productivity Analytics provides a way for Engineering Management to drill down in a systematic way to uncover patterns and causes for success or failure at an individual, project, or group level. Productivity can slow down for many reasons ranging from degrading code base to quickly growing teams. In order to investigate, department or team leaders can start by visualizing the time it takes for merge requests to be merged. diff --git a/doc/user/analytics/value_stream_analytics.md b/doc/user/analytics/value_stream_analytics.md index 14012d4a28d..49157823d9f 100644 --- a/doc/user/analytics/value_stream_analytics.md +++ b/doc/user/analytics/value_stream_analytics.md @@ -12,26 +12,26 @@ info: To determine the technical writer assigned to the Stage/Group associated w Value Stream Analytics measures the time spent to go from an [idea to production](https://about.gitlab.com/blog/2016/08/05/continuous-integration-delivery-and-deployment-with-gitlab/#from-idea-to-production-with-gitlab) -(also known as cycle time) for each of your projects. Value Stream Analytics displays the median time +(also known as cycle time) for each of your projects or groups. Value Stream Analytics displays the median time spent in each stage defined in the process. -For information on how to contribute to the development of Value Stream Analytics, see our [contributor documentation](../../development/value_stream_analytics.md). - Value Stream Analytics is useful in order to quickly determine the velocity of a given project. It points to bottlenecks in the development process, enabling management to uncover, triage, and identify the root cause of slowdowns in the software development life cycle. -Value Stream Analytics is tightly coupled with the [GitLab flow](../../topics/gitlab_flow.md) and -calculates a separate median for each stage. +For information on how to contribute to the development of Value Stream Analytics, see our [contributor documentation](../../development/value_stream_analytics.md). + +## Project Level Value Stream Analytics **CORE** + +Project Level Value Stream Analytics is available via **Project > Analytics > Value Stream**. -## Overview +## Group Level Value Stream Analytics **PREMIUM** -Value Stream Analytics is available: +From GitLab 12.9, group level Value Stream Analytics is available via **Group > Analytics > Value Stream**. -- From GitLab 12.9, at the group level via **Group > Analytics > Value Stream**. **(PREMIUM)** -- At the project level via **Project > Analytics > Value Stream**. +## Default stages -There are seven stages that are tracked as part of the Value Stream Analytics calculations. +The stages tracked by Value Stream Analytics by default represent the [GitLab flow](../../topics/gitlab_flow.md). These stages can be customized in Group Level Value Stream Analytics. - **Issue** (Tracker) - Time to schedule an issue (by milestone or by adding it to an issue board) @@ -123,7 +123,7 @@ How this works, behind the scenes: we need for the stages, like issue creation date, merge request merge time, etc. -To sum up, anything that doesn't follow [GitLab flow](../../workflow/gitlab_flow.md) will not be tracked and the +To sum up, anything that doesn't follow [GitLab flow](../../topics/gitlab_flow.md) will not be tracked and the Value Stream Analytics dashboard will not present any data for: - Merge requests that do not close an issue. |
