Your question is Ship Critique Workflow in Databricks. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Databricks wants to improve how designers and cross-functional partners review work for the Lakeview dashboards and Databricks SQL experience. Today, design critique happens across scattered Figma comments, Slack threads, and ad hoc meetings, which slows decisions and causes repeated rework before launch.
You are the UX/UI Designer leading a small execution effort to introduce a more structured critique workflow for a redesign of the dashboard creation and sharing experience. The project team includes 1 product designer (you), 1 design manager, 1 PM, 4 engineers, 1 UX writer, and 1 user researcher. Leadership wants the redesigned experience ready for a private preview in 10 weeks because two enterprise customers have escalated usability issues.
The PM wants fast decisions and minimal scope so engineering can start on time. The design manager wants critique quality to improve across the org, not just for this feature. Engineering wants fewer late-stage design changes. The research lead wants critique feedback grounded in user evidence rather than opinion.