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

The plugin's own settings page lists the facets configured for the shop and links to attribute taxonomies, which is the right surface for setup and the wrong surface for understanding catalog readiness. Merchandisers want to know how many products are missing brand, color or size attributes before the next collection launch and which categories have the lowest filter coverage.

SleekView Charts reads wp_posts (product post type), wp_term_relationships and the wp_woocommerce_attribute_taxonomies table and renders catalog readiness as a dashboard. A Number card counts products with all critical attributes filled. A Pie shows attribute coverage per facet. A Bar ranks categories by missing coverage. An Area trends product updates per week so the merchandising team measures progress against the gap.

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. Default WooCommerce admin shows attributes per product, which works for editing one product and breaks down when merchandising needs to know the size of the gap across the catalog. SleekView Charts reads the product and taxonomy tables the filter relies on and renders catalog readiness as a dashboard.

A filterable-products KPI, an attribute-coverage Bar, a category distribution Pie and a weekly update Area turn pre-launch audits from a spreadsheet into a live view. Same product rows, same term relationships, completely different merchandising posture before the next launch.