Fluent Forms stores conversational form submissions in the same wp_fluentform_submissions table it uses for every other form type, with a status column that holds values like unread, read, and trashed. The default entries screen shows a paginated list with filter tabs, which works for one reviewer skimming one form but stops scaling the moment a team is triaging conversational lead-capture forms alongside quote forms and feedback surveys.

SleekView reads the Fluent Forms submissions table directly and treats the status column as the natural axis for a kanban. Every submission becomes a card and every distinct status value becomes a column, so the unread queue, the read pile, the favourites, and the trash all sit side by side. You pick which fields the card front shows, typically the lead name, the form title, the answer to a key question, and the submitted date, and SleekView renders the pipeline as a board any reviewer can read or edit in place.

Dragging a card from Unread to Read writes the new status to the Fluent Forms row and fires the same hooks the entries screen does, so notifications and integrations tied to a status change still trigger. Favourite gets its own column instead of a sidebar checkbox, trash is reversible, and an undo toast on every drag means a wrong move is never destructive.

Conversational forms exist because a chat-style flow gets richer answers than a static form, which means every submission is denser and more worth reading. The default entries screen does not match that value: it shows a flat list with tabs, and the status of each entry is buried inside the row. A kanban view changes the centre of gravity.

The state of every submission is visible at the top of the screen, the team can see at a glance how much unread work is sitting in the queue, and moving an entry through the pipeline is a single drag instead of a click into a detail screen and a save. The writeback path keeps the board and the Fluent Forms database in lockstep, the role checks keep the writes safe, and the per-form filters keep one team's noise out of another team's queue. The result is a triage workflow that fits the value of the data conversational forms collect.