Food Cost, Pricing, and Menu Psychology
Menu engineering is the strategic application of data, psychology, and culinary knowledge to design a menu that maximizes profitability and guest satisfaction. The foundation is food cost percentage: the ratio of the cost of ingredients to the menu selling price, expressed as a percentage. Target food cost varies by restaurant category: fast casual targets 28–32%; casual dining 28–35%; fine dining 28–32% (despite higher prices, fine dining has higher labor costs requiring tighter food cost). Formula: Food Cost % = (Cost of ingredients ÷ Selling price) × 100. If a pasta dish costs $3.50 in ingredients and sells for $14.00, food cost % = 25%. To determine a target price from cost: Selling price = Ingredient cost ÷ Target food cost %. A dish costing $4.50 at a 30% target: $4.50 ÷ 0.30 = $15.00 menu price. Beyond raw cost, menu engineering uses the Kasavana-Smith matrix to categorize each item by popularity (sales volume) and profitability (contribution margin): Stars (high popularity, high profitability — promote, keep, feature); Plow Horses (high popularity, low profitability — reduce portion size, substitute lower-cost ingredients, or raise price carefully); Puzzles (low popularity, high profitability — reposition on menu, improve description, train servers to suggest); Dogs (low popularity, low profitability — remove or replace). Menu psychology: items placed in the top-right corner of a two-panel menu receive the most visual attention (the eye's natural landing zone). Prime items (Stars and Puzzles) go in high-attention zones. Descriptive menu language increases perceived value and willingness to pay — 'free-range chicken raised on a family farm in Vermont with roasted heirloom carrots' outsells 'grilled chicken with carrots' at the same price point in controlled studies.