YITH WooCommerce Questions and Answers persists every question as a yith_question post in wp_posts, with answers attached as yith_answer posts whose post_parent points at the parent question. Vote counts live on wp_postmeta under _votes_up and _votes_down, and the answered state lives under _answered. The default admin lists questions chronologically and exposes a per-product filter, but it never aggregates the data into the metrics merchandising and support actually need.

SleekView Charts reads the same wp_posts and wp_postmeta rows the plugin already writes. A Number card counts open questions across the catalog, a Donut splits answered versus unanswered, a Bar ranks the products with the most questions, and an Area trends new questions per day. Each card is a saved query against live YITH data, not a CSV snapshot.

The dashboard does not replace moderation. Moderators still approve answers from the question screen and respond inline. SleekView Charts adds the reading layer the plugin omits: which products generate the most pre-sale questions, how long answers take on average, and whether a content push or campaign correlated with a spike in catalog questions. Stores with hundreds of products and thousands of questions read it as a single dashboard instead of paging through a chronological list.

Product Q&A is one of the few unfiltered customer signals a WooCommerce store collects before a sale, and most stores ignore it. YITH writes every question and answer cleanly into wp_posts under dedicated post types, but the default admin treats the data as a moderation queue rather than a metric. Merchandising teams never see which products generate the most pre-sale questions.

Support teams measure response by feel because no chart shows the unanswered backlog over time. Copywriters miss the chance to rewrite product descriptions using the exact phrasing customers asked about. SleekView Charts reads the YITH custom post types and the related postmeta keys and renders the four cards that actually matter.

Catalog backlog as a Number, answered mix as a Donut, top-asked products as a Bar, and a daily Area trend that ties question spikes back to campaigns. The plugin already collects the data. The dashboard just makes it readable.