Menu Engineering Calculator

Menu engineering is the systematic analysis of every dish on your menu by two dimensions: popularity (how often it is ordered) and profitability (how much contribution margin it generates per sale). Developed by Michael Kasavana and Donald Smith at Michigan State University in 1982, the method classifies every item into one of four quadrants — Stars, Plowhorses, Puzzles and Dogs — and prescribes a different action for each. It is now the standard framework used by restaurant consultants worldwide to optimize menu mix, pricing and dish placement.

Stars: high popularity AND high contribution margin — your best items, promote heavily, protect their recipe. Plowhorses: high popularity but low contribution margin — customers love them but they don't contribute much profit; try to reduce cost or raise price slightly. Puzzles: high contribution margin but low popularity — profitable when ordered but rarely chosen; improve placement, description or presentation to drive volume. Dogs: low popularity AND low contribution margin — typically remove from menu or repurpose ingredients, though some Dogs serve a positioning role (premium items that justify price perception).

Contribution margin per dish = selling price (VAT excluded) − total ingredient cost for that portion. For example, a pasta dish selling at €14 with ingredient cost of €3.80 has a contribution margin of €10.20. This is different from gross margin percentage — you need the absolute euro amount per portion to run the Kasavana-Smith analysis, since a cheap dish with high volume may contribute more total margin than an expensive dish ordered rarely.

The mix index (also called menu mix %) measures each item's share of total sales relative to what an equal distribution would predict. Formula: MM Index = (actual item sales / total sales) / (1 / number of items). If you have 10 items and sell equal amounts of each, every item has an MM Index of 1.0. An item with an MM Index above 0.7 is considered high popularity in the Kasavana-Smith framework. This threshold (70% of expected equal share) separates Stars and Plowhorses from Puzzles and Dogs on the popularity axis.

Not necessarily. Some Dogs serve strategic purposes: a bistecca fiorentina at €45 may be ordered rarely, but its presence on the menu anchors price perception and makes €28 pasta dishes seem reasonable by comparison. Other Dogs are category anchors (the only vegetarian main, the only gluten-free option) that serve important customer segments. Dogs that genuinely have no strategic role AND are operationally complex should be removed. Review Dogs quarterly and ask: if we removed this, would any customer not come, or feel the menu was incomplete?

Run a full analysis at least quarterly, and always before a seasonal menu change or price revision. The analysis requires a minimum of 4–6 weeks of sales data to be statistically meaningful — daily fluctuations and special events can skew weekly figures. Many Italian restaurants run engineering analysis before the spring/summer menu launch (March), the autumn menu (September) and once mid-winter. Fast-changing menus (tasting menus with weekly updates) benefit from more frequent analysis focused on the most variable categories.