DataVault is an enterprise data platform used by 50,000+ analysts across Fortune 500 companies. Their existing dashboard UI was built in 2017 and was showing every one of its years — dense, inconsistent, and slow.
This was one of the most complex projects we've undertaken: 200+ screens across 8 product modules, 6 user roles with different permission levels, and real-time data that updates every 30 seconds.
We ran an extensive research phase including contextual enquiry sessions with analysts at 4 enterprise clients. The insights shaped a complete redesign that prioritises query efficiency, customisable workspaces, and data clarity above all else.
200+ screens across 8 modules with completely inconsistent design patterns — users had to relearn the interface in each module.
Real-time data visualisation that remained readable and useful even when datasets exceeded 10 million rows.
6 distinct user roles needing different views of the same underlying data without separate codebases.
Created a unified "DataVault Design Language" — one component library, one interaction model, one visual language applied consistently across all 8 modules.
Designed adaptive visualisations that progressively disclose detail: summary → drill-down → raw data. Chart types are context-aware based on data type.
Built a role-based layout system where the same dashboard template renders differently based on user permissions — zero duplicated design work.
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