Chatling for WordPress stores every support conversation as a row in wp_chatling_conversations, with related records living in wp_chatling_messages and event level history in wp_chatling_feedback. Each row already carries a status value, a category or tag column, a created at timestamp, and an author identifier. The default WordPress admin list shows these rows in a flat table that is fine for a single moderator, but Chatling subscribers quickly need to know which items the community cares about most. A flat table cannot answer that question because every row looks equally important and there is no signal of attention.

SleekView Feedback reads the same rows out of wp_chatling_conversations and groups them into a card grid sorted by a vote column, with status badges driven by the existing status field and category pills driven by the existing taxonomy or tag column. The most upvoted items rise to the top, planned and shipped items keep their colored badges, and the rest of the queue stays visible underneath. Operators can filter by status, by category, or by author, and the view persists those filters per user so different team members see their own slice of the board.

Clicking the Upvote button writes the new count directly back into the Chatling row, so the support conversations and per message ratings.

A flat WordPress list of Chatling for WordPress support conversations answers one question well, which items exist, but it cannot answer the question Chatling subscribers actually need to make decisions, which items the community cares about most. Without a vote signal, prioritisation falls back to whoever shouts loudest in email or on social, which is a poor proxy for real demand. A feedback board surfaces aggregate attention at a glance, so the team can pick the next thing to ship without a meeting.

Status badges close the loop. Customers who upvoted an item get a visible signal the moment it moves into planning, into build, and into shipped, which kills the support thread asking for an update. Public boards also reduce inbound noise, because customers see that an idea is already on the list before they file a new ticket.