Reader trust comes first.
Scores are based on the experience a reader would actually have: ordering, delivery, reheating, taste, menu range, price, and how well a service fits a real week.
Our standards explain how we test services, handle commerce links, and keep reader trust at the center of our recommendations.
Scores are based on the experience a reader would actually have: ordering, delivery, reheating, taste, menu range, price, and how well a service fits a real week.
Some outbound links may be tracked. Recommendations should still stand on their own, with the tradeoffs and best-use cases made plain for readers.
Then it moves through the actual week: ordering, delivery, reheating, schedule fit, value, and whether the service solves a real problem.
Flavor, freshness, reheating, sauce, contrast, and whether the meal still feels good after delivery.
Ordering flow, filters, menu range, portion reality, cleanup, and how well the service fits real routines.
Costs, promotions, subscription logic, cancellation flow, limitations, and best-fit use cases are easy to understand.
Platter uses structured data to help readers and search systems understand each page without overstating what a review or guide can prove.