WooCommerce Product Filter (the WC-vendor branded version on the official marketplace) renders Ajax facets for taxonomies and attributes on archive pages: price, color, size, brand, custom attributes. Each facet is only useful when products carry the relevant attribute, and missing coverage means the facet renders zero results on the storefront.

The default WooCommerce products screen renders a row per product with title, SKU, price and stock, but the attributes that drive filter facets don't appear as inline columns. Merchandisers click into each product to see whether brand or color is set, or export thousands of rows to a spreadsheet before a launch.

SleekView reads wp_posts (product post type) joined with wp_term_relationships and the attribute taxonomies and renders coverage as a real audit table. Product, category, brand, color, size and stock status sit on every row. Filter to products missing pa_color, sort by category to find the biggest gaps and export the missing-attribute cohort to bulk-fill. The chart dashboard aggregates the same dataset, the table view owns the row-level audit.

WooCommerce Product Filter renders exactly the facets it's configured for, but a beautiful facet sidebar is useless when half the products miss the attributes the facets filter on. The default WooCommerce products screen shows title, SKU, price and stock, hides every attribute taxonomy off-row and offers no way to triage coverage gaps in bulk. SleekView reads the same product and taxonomy tables the filter relies on and renders coverage as a queryable audit table with brand, color, size and stock inline.

Saved views split merchandising audits, SEO readiness and leadership summaries, and the chart dashboard aggregates the same rows. The filter plugin keeps owning facets and storefront UX, while merchandising gets the row-level surface the data always deserved.