Thrive Comments does not fork the comment schema. It extends wp_comments with the standard comment_post_ID, comment_author, comment_date, comment_approved, and comment_parent columns, then adds engagement signals in wp_commentmeta under keys like tcm_upvote, tcm_downvote, tcm_likes, and the social share counters that the plugin captures.

SleekView Charts reads both tables straight from WordPress. Each card picks a column or meta key to group by (post ID, author, status, date, upvote count) and aggregates with Count, Sum, Average, Maximum, or Minimum. Cards refresh against the live tables every time the dashboard loads, so a comment posted a minute ago appears on the next card refresh without any export step.

A typical setup combines a Number card for total approved comments this week, an Area card for daily comment activity, a Pie card for the approved-versus-spam ratio, and a Bar card for the most up-voted comments. Editors get a dashboard that finally answers questions the default comment screen cannot: which posts are pulling discussion, which commenters are driving votes, and whether the spam queue is growing.

Comment health is a trend question. Is weekly volume climbing or sliding compared to last quarter. Which posts are pulling discussion and which are silent.

Which commenters consistently drive up-votes and which sit at zero. Thrive Comments stores all of that in wp_comments and the tcm_* commentmeta keys, but the default WordPress comment screen shows a list table sorted by date, not a chart. Editors and community managers either scroll for hours or export rows to a spreadsheet and pivot them manually, which never happens consistently enough to drive decisions.

SleekView Charts puts a daily volume Area, an approved-versus-spam Pie, and a most-voted Bar on one dashboard, refreshed against the live tables. The team finally has a real picture of what the comment system is doing, and the engagement layer becomes something they can manage like the rest of WordPress.