Value stream management: Total Time Chart simplifies top-down optimization flow
Blog post from GitLab
Understanding the time spent during the development lifecycle is essential for software leaders to optimize value delivery to customers, and the new Value Stream Analytics Total Time Chart in GitLab provides a visualization to aid this process. This tool allows managers to track the entire development process from idea to production, revealing the time spent in each workflow stage. Integrated into GitLab, Value Stream Analytics uses a unified data model to aggregate stage-level data, breaking it down into container objects, event pairs, and stage events. The Total Time Chart utilizes a stacked area chart to illustrate each stage's contribution to the overall development time, providing insights into how these contributions change over time. The chart's interactive features, such as tooltips and stage breakdowns, enhance understanding by sorting stages in order and offering detailed views of stream performance metrics. It also supports a top-down optimization flow, allowing users to drill down into project performance or view organization-level metrics. While the chart is limited to completed items within a selected date range, it provides valuable insights into workstream progress and potential areas for improvement by highlighting gaps with a dashed line and flat stage lines when no data is available.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.