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Menu engineering: the matrix and how to use it

By mise · Updated September 29, 2026

Quick answer: menu engineering sorts each dish by popularity (share of items sold) and contribution margin (price − plate cost). High both = Stars (keep, feature); popular but low margin = Plowhorses (re-cost, adjust portion or price); high margin but unpopular = Puzzles (reposition, rename, promote); low both = Dogs (remove or rework).

Food cost percentage alone can push you to cut the dishes that make the most money. Menu engineering looks at dollars earned per dish and how often it sells.

The two measures

The matrix

High marginLow margin
High popularityStar — keep, feature, protect qualityPlowhorse — re-cost, trim portion, small price rise
Low popularityPuzzle — better menu position, description, server pushDog — remove or rebuild

Worked example

Burger: price $16, plate cost $4.10, margin $11.90, 420 sold → Star. Pasta: $18, $3.20, margin $14.80, 300 sold → Star. Salmon: $26, $9.80, margin $16.20, 160 sold → Puzzle. Steak: $34, $14.50, margin $19.50, 90 sold → Puzzle close to Dog. The salmon has the highest food cost % and one of the best dollar margins — cutting it on food cost alone would lose money.

Download the free menu engineering worksheet (CSV — Excel and Google Sheets)

What you need first

Costed recipes (see recipe costing) and item sales from your POS for the same period — a month is a good window. In mise recipe cards are costed from your inventory at the price you paid.

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Keep reading Food cost percentage: formula, examples and targets Restaurant prime cost: formula, target and calculator Recipe costing: how to work out the cost of a dish All guides

Frequently asked questions

What is the menu engineering matrix?

A 2×2 grid that classifies dishes by popularity and contribution margin into Stars, Plowhorses, Puzzles and Dogs.

How do you calculate contribution margin for a menu item?

Menu price minus plate cost (the ingredient cost of one portion).

How often should I do menu engineering?

Every menu change and at least twice a year, with a month of sales data.