Every team member rebuilding the same filter each morning is duplicated effort nobody counts. In Pimberly, advanced filters are built against any attribute, column layouts are chosen separately, and the result is saved as a view: one for reviewing laptop pricing, another for products awaiting a grade review. Views can be published to the whole team rather than kept private, so the query is built once.
With Pimberly’s filters and views, you can:
- Build a filter on any product attribute, with conditions grouped and comparators matched to the attribute type
- Choose your columns separately from the filter, resizing the layout to suit the work being done
- Save a filter and layout as a view — one for reviewing laptop pricing, another for products awaiting a grade review
- Turn any attribute into a facet, alongside structural filters like schema, lifecycle stage and category tree
- Publish a view to the whole team rather than keeping it private, building a shared library so nobody rebuilds the same query
See how it works in the video below:
