No. SleekView Feedback reads directly from whatever table or post type Pro is using, including the Pro backup index in wp_options and any custom log table. You point it at the source, pick the columns for votes, status, category, author, and title, and the board renders.

Yes. SleekView ships with anonymous voting backed by cookies, so public visitors can upvote cloud jobs and restore asks without an account. You can also require login if you want the board restricted to client users or staff, and the same view handles both modes with a single toggle.

Each visitor gets a cookie scoped vote token per item. Logged in users are tracked by user ID. The plugin also exposes a rate limit so a single IP cannot spam the board, which is enough to keep client boards honest without forcing a signup wall in front of paying clients.

Yes. SleekView accepts a WHERE clause when you wire up the data source, so you can scope the board to one cloud destination, one client ID, one archive size, or any combination of fields Pro already stores. Different boards on different pages can use different filters.

The Conflict category is just a value on the row. You can write it into an option key Pro already understands or a dedicated column. Either way it shows up in the WordPress admin alongside the failing cloud job, so the lead dev can see the flag without leaving WordPress at all.

They write back to the source column, which means Pro and any of your own queries can sort future jobs, retries, and cloud lists by that score. Several agencies use the score to gate which speed asks get patched first, making the board operational and not just a vanity dashboard.

Both. SleekView ships as a Gutenberg block, an Elementor widget, a Bricks element, and a classic shortcode. Theme developers can also call the render function from PHP and pass a configuration array, so you can mount the board on any template without touching the page editor.

The view paginates server side and only loads the rows it needs to render the current page. Indexed columns stay fast even on long tables. For really big histories, scoping the board by client or destination keeps both the query and the audience focused, so the page feels snappy at scale.