No. SleekView Feedback reads directly from whatever table or post type you log Better Search Replace runs to, including option rows 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 cleanly.

Yes. SleekView ships with anonymous voting backed by cookies, so public visitors can upvote runs without an account. You can also require login if you want the board restricted to staff devs or paying clients, 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 dev boards honest without forcing a signup wall in front of contractors.

Yes. SleekView accepts a WHERE clause when you wire up the data source, so you can scope the board to one environment, one table list, one client ID, or any combination of fields you log. Different boards on different pages can use different filters without duplicate data.

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

They write back to the source column, which means your run log and any custom queries can sort future runs, retries, and recipe lists by that score. Several agencies use the score to gate which speed asks get patched first, making the board operational and not vanity reporting.

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 environment or client keeps both the query and the audience focused, so the page feels snappy at scale.