Menu Engineering Matrix
Category: science
A data-driven framework that categorizes menu items based on their profitability and popularity to optimize placement and pricing.
Menu engineering utilizes point-of-sale volume data and granular recipe cost accounting to segment dishes into four distinct quadrants: Stars (high profit, high popularity), Plowhorses (low profit, high popularity), Puzzles (high profit, low popularity), and Dogs (low profit, low popularity). Corporate culinary teams use this analysis to redesign physical and digital menus.
Common Examples
- We ran a menu engineering matrix pass and discovered our custom skillet was a Plowhorse, prompting us to adjust the portion size to lift its margin.
- Using high-fidelity matrix modeling ensures that high-margin Puzzle dishes get maximum visual highlighting on our digital menu boards.