By making all the data and goals from across the DevOps pipeline big and visible, value stream management bridges the gap between developers and the c-suite. When everyone across the organization has access to the same information and understands the “why” behind work initiatives, culture becomes more purpose-driven and priorities become easier to align.
Developers are armed with the real-time data and insight needed to support requests for more time and resources instead of negotiating on guesswork.
The who, what, and where of work items becomes transparent so developers can get the support they need and be recognized for the work they do.
When work statuses are tracked and stand ups are automated, the number of meetings gets reduced and the need for status checks is eliminated so developers can get back to focusing on work uninterrupted.
Communication is easier when everyone has access to the same, up-to-date data across the value stream. Managers can more effectively motivate their teams when they can show real results that occurred because of work completed or processes changed. Managers can more effectively address bottlenecks, identify skillset gaps, advocate for their teams, and set expectations with executives when they have the data to back up decisions.
VSM allows managers to see the entire value stream in a single view and track the effects of any process, staffing, or tooling change. This makes it easy to strategically align development activities to support business objectives by giving visibility to the people executing strategy.
By seeing the who, what, when, and where of all development activity for their teams, managers can make informed decisions about assigning work and resources to make sure they are focusing on the right work with the right priorities.
Instead of manually gathering and normalizing data from different tools and different teams into one report, managers can save time with automated reports that have up-to-date metrics.
With aggregated metrics that roll up to the portfolio, you can get accurate metrics across teams and a clear picture of overall portfolio performance so you can compare team performance and surface best practices.
By connecting all your disjointed tools across the DevOps pipeline, you can see exactly what impact each change in process, resources, and workload yields.
Data is a universal language, and measuring development success in terms of business metrics becomes easier when data can be normalized across teams and departments. Communicating this data frequently builds trust and dependability.
Metrics are universal, and value stream management allows you to use different tools but have a common standard.
With equity of information, all team members can see what was released, what was held back, what was found in testing, and more data points to inform and improve future work.
Transparent work status views show who is working on which item in real time and align work items to business values to help prioritize testing and correlate work between teams.
Automated data aggregation and reporting ensure that testers have the most up-to-date information on what is planned to be released and what needs to be tested so no time is wasted on out-of-date features. This also informs the team on where to best apply automated and manual testing.
Automated gates set rules on release readiness so quality teams can know ahead of time if something is at risk or if a scheduled release will move forward.
Automated data aggregation from each team and tool provides fast, easy release and risk reporting that doesn’t rely on individual input and augments the capabilities of the analyst to give them a more complete risk profile.
Managers can feel more secure in their releases with full visibility into how many commits, defects, testing results, etc are in each build.
Reduce costs and remove the need for homegrown solutions and stopgaps with automated governance, release gates, and quality reports.
Data from multiple product teams across a technology line of business and their applications is aggregated and normalized in one place for easy access to up-to-date reports, making it easy to correlate events, spot patterns, and surface best practices.
Up-to-date dashboards and reports remove the need for status meetings with multiple stakeholders and free up time spent collecting data from different teams.
Data is aggregated and normalized across tools, teams, and methodologies so progress towards goals can be accurately measured, groups can be compared evenly, and resources and be rebalanced and reprioritized.
With standardized units of measurement and transparency of data, cross-departmental communication improves.
Visibility into the who/what/when/where of work items helps stakeholders manage expectations and reduces tedious reporting tasks.
Aggregated, visual data helps provide the “so what” behind resource decisions and fixes breakdowns in communication on strategy.
Detailed reporting gives executives the opportunity to drill down to individual team performance and spot deviations from strategy before they become costly and problematic.
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