Free tool
Paste your menu and get an instant Kasavana-Smith menu matrix — contribution margins, item classification, and a prioritized action plan with estimated dollar impact. Free to use, runs in your browser.
Paste one item per line: name, food cost, price, units sold, category. Everything is calculated in your browser — nothing is uploaded.
Most menus are priced by habit — a markup here, a guess there. Menu engineering replaces guesswork with a two-axis model: popularity (how often an item sells, its menu mix %) and profitability (its contribution margin — price minus food cost). Every item lands in one of four quadrants, and each quadrant has a playbook.
The classic thresholds come from Kasavana & Smith (1982): an item is "popular" if its menu mix exceeds 70% of the average item's share, and "profitable" if its contribution margin beats the menu average. The calculator applies these when you analyze your data.
The real leverage is in the action plan: a one-line move per item, ranked by estimated dollar impact. A single Plowhorse repriced $1.50, or a Puzzle promoted into visibility, can be worth hundreds of dollars. MenuWright keeps your Square menu and sales data in sync automatically; run an analysis on demand to refresh those insights.
Menu engineering is the practice of classifying each menu item by profitability and popularity, then using that matrix to decide what to promote, reprice, bundle, or remove. It turns your menu into a profit lever instead of a static list.
The Kasavana-Smith method (1982) plots every item on two axes — popularity (menu mix %) and profitability (contribution margin) — producing four quadrants: Stars (high/high), Plowhorses (popular, thin margin), Puzzles (profitable, under-sold), and Dogs (low/low).
Yes. The matrix, contribution margins, and per-item classification are free with no signup. Enter your email to unlock the prioritized action plan ranked by estimated dollar impact.
No. The calculation runs entirely in your browser. Nothing you paste is uploaded or stored.
This calculator does manually, for one snapshot, what MenuWright does from your Square POS data: your menu and sales data sync automatically, and you run each analysis on demand for updated classifications, AI recommendations, bundle and cannibalization detection, and reports.