EDD Recommendations watches every order in wp_edd_orders and writes the resulting bought-together signals into wp_postmeta under the _edd_recommendations key. That signal answers the question of what to show, but it has no idea whether customers actually liked the suggestions, found them helpful, or rolled their eyes at the same three pairings on every product page.

SleekView Feedback points at the same product posts plus any recommendation feedback post type you already collect through a thumbs up widget or a survey, and renders each row as a card. The card shows the title of the report, an upvote count, the customer first name from EDD, a category pill like Bad pairing, Missing pairing, Cold start, or Bundle idea, and a status pill that tracks where your team is with each tweak.

When another customer clicks Upvote on a report that matches their own experience, the count writes back to the same row, so your tuning roadmap reflects real customer demand instead of whoever wrote the loudest review. Operators see at a glance which pairings break the experience, which categories never get cross-sold, and which bundle ideas customers actually want.

EDD Recommendations is great at picking pairings from order data, but the widgets themselves cannot tell you whether customers loved the suggestions or quietly closed the tab. That feedback usually lives in scattered support threads, occasional product reviews, and a few admin notes that never reach the merchandising team in time. The result is a widget that improves slowly because the team behind it is missing half the picture.

SleekView Feedback gives the same product data a public surface that reads like a tuning roadmap. Cards with vote counts, status pills, and topic chips let customers report bad pairings or missing bundles in one click, and the data stays inside your EDD install. Merchandisers see real demand instead of guessing, and customers see real responses instead of generic widgets.

Over a few months the board becomes a transcript of how your store learns from its own catalogue, and that transcript converts hesitant visitors into repeat buyers far better than a static recommendation strip ever could.