WP CSV Importer is built around one screen: upload a CSV, map columns to fields, click run, watch the progress bar. Behind the scenes it writes a row to wp_csv_importer_runs for each upload with filename, total rows, created count, updated count, error count, and the user who triggered it. The default admin lists those runs as a single chronological log without filters or column sorting.

SleekView reads wp_csv_importer_runs as a flat workspace. Columns expose filename, row totals, created/updated/error counts, and the triggering user. Sorting by error count descending surfaces problem uploads first. Filtering by file extension separates legitimate CSV imports from accidental Excel uploads that fail validation.

A second view joins wp_csv_importer_post_map (the importer's per-row post-ID lookup) back to wp_posts, so any imported post carries the run ID and source filename that produced it. Investigating which upload introduced bad data becomes a single filter.

CSV uploads tend to be quick, manual, and high-impact. A single mismapped column can introduce hundreds of bad rows before anyone notices. The default admin treats each upload as a one-time event: progress bar, success, log entry, on to the next.

That model breaks down on sites where multiple editors upload CSVs daily across products, members, events, or directory entries. The runs table already has everything needed to audit, it just is not exposed as a queryable surface. Reading wp_csv_importer_runs directly turns the question "which uploads had errors this week" into a one-filter view.

Joining the post map turns "which upload created this row" into a one-click answer. That visibility is what shifts CSV importing from a manual, blind operation to a real data pipeline with provenance and error budgets. Editors keep their familiar upload screen, ops gets the audit layer the plugin's UI never built.