[VSD][UX] revisit proposed design and update SSOT

Problem

When looking at Value Stream Dashboard (&9317) the design proposal is now ~10 month old. It is unclear what the north star vision is, what parts of the designs have been validated and, whether the design is leveraging the most up-to-date UI patterns.

Q: Solution validation questions to answer:

• We have a vision mock up of dashboard viewer/builder - should we turn that into a prototype and test the full XP?
• OR, should we double down on the most valuable views/charts, validate those, and then build up from there?

A: Since we already have a framework in place for creating and displaying panels on the dashboard, we should focus on refining and validating what collection of metrics are the most valuable to each persona.

Proposal

• Revisit proposed designs and make sure the latest Figma project it linked
• Define the categories of metrics, who the consumers are, and what the flow would be for before/after (See metric categories on direction page)
• Create workflowsolution validation issues for finalized designs, Start with DORA metrics since we know that this is a definite category, and create different visualization options to test and validate (ISSUE)

Design considerations around filters

• Build this as a generic custom dashboard solution.
• Make sure this is responsive and supports narrow width panels.
• Have a forward looking vision for displaying other types of panel-level filters (for example date range).

Designs

• ❖ Figma project →
• 💻 Figma prototype →

Resources

• https://www.domo.com/learn/article/top-10-dashboard-design-mistakes-and-what-to-do-about-them
• https://www.clicdata.com/blog/6-mistakes-to-avoid-when-building-dashboards-for-entire-company/
• https://www.tableau.com/blog/dos-and-donts-building-dashboard
• https://www.sisense.com/blog/4-design-principles-creating-better-dashboards/
• https://think.design/blog/dos-and-donts-for-dashboard-design/
• https://mode.com/blog/dont-choose-dashboards/
• https://www.datarevelations.com/avoid-making-so-what-dashboards/

Questions a dashboard should be answering:

• Are we ahead or behind our goals?
• By how much are we ahead or behind?
• Did that just happen, or has it been going on for a while?
• Which areas of the organization are doing well?
• Which are doing poorly?
• How are we doing this period vs. last period?
• How about this same time last year?
• How is our organization doing compared with other organizations?