### Overview With gitlab~10046106 [vision](https://about.gitlab.com/direction/manage/value_stream_management/#vision) to be the tool of choice for DevOps Data-driven decision-making, product quality is key to our success. In %"15.0" the team has delivered the final fix for the [VSA date rage bug](https://gitlab.com/groups/gitlab-org/-/epics/6046) and rebuild the VSA backend. Additionally, we plan to release the [last DORA chart](https://gitlab.com/gitlab-org/gitlab/-/issues/357072) in [%15.2](https://gitlab.com/gitlab-org/manage/general-discussion/-/issues/17511) and to finish the coverage for all [4 DORA metrics](https://gitlab.com/groups/gitlab-org/-/epics/4358). Sales and customers are also pressuring us to speed-up our maturity efforts, and VSA/DORA will be included in sales "Top 10 ARR drivers". ### Problem In May, gitlab~10046106 [MAU began to decline](https://app.periscopedata.com/app/gitlab/779829/Manage:Optimize-Feature-Usage?widget=12886139&udv=0). Users might have tried VSA, but didn't found it valuable or [lost their confidence](https://gitlab.com/gitlab-com/account-management/commercial/sweetwater/-/issues/4) in the feature. ### Proposal Increase the tests coverage for VSA and DORA, focusing on data integrity testing to ensure that the features data is accurate and functions correctly. Here is a list of suggested data verification tasks: 1. Data aggregation rules 2. Filtering 3. Data formats and types 4. Data summary fields, 6. Charts 7. Drill up / downs display accurate data. ### Additional Details - [VSA and DORA speed-run ](https://www.youtube.com/watch?v=wQU-mWvNSiI) - https://gitlab.com/gitlab-org/gitlab/-/issues/249803+