| name | data-product-ux |
| description | Design and implement high-quality data-heavy product experiences. Use for dashboards, tables, filters, charts, search, saved views, bulk actions, drill-down, imports, exports, task progress, permissions, stale data, or large result sets. |
Data Product UX
A data surface must help users understand, decide, and act; displaying more metrics is not sufficient.
- Define the decision, primary metric, comparison baseline, freshness, and next action.
- Design query state: search, filters, sort, pagination, URL state, saved views, and reset.
- Design result state: loading, partial, empty, stale, error, permission, and retry.
- Keep column ownership, units, precision, time zone, null semantics, and export fields consistent.
- Let charts support comparison and drill-down, with labels, accessible summaries, and a detail path.
- For long tasks, show stage, progress source, last update, cancellation or retry, and history.
- Choose pagination, virtualization, aggregation, and lazy loading from measured volume.
Completion requires realistic dense data, zero data, failure, keyboard, and narrow-viewport browser checks.
