We use essential cookies to run methodus.bar. With your permission we also use analytics and advertising cookies to measure product usage and the performance of our campaigns. You can change your choice at any time from the privacy policy.
A data-driven framework for optimizing a menu by analyzing each item's profitability (contribution margin) and popularity (sales volume). Menu engineering classifies items into four categories and prescribes different actions for each.
Menu engineering was formalized by Kasavana & Smith in 1982, and it remains the most practical framework for menu optimization in F&B. The four categories: Stars (high profit, high popularity — protect and promote), Plowhorses (low profit, high popularity — re-engineer cost or raise price), Puzzles (high profit, low popularity — improve visibility and description), and Dogs (low profit, low popularity — remove or reposition).
The insight that surprises most operators: your best-selling cocktail is often a Plowhorse, not a Star. It sells because it's familiar and priced to move, but the margin is eroding your overall beverage cost. Your actual Stars — the drinks with strong margins — are often buried on the menu because they're priced higher and guests don't know to order them.
Menu engineering requires two data inputs: accurate recipe costing (the profit side) and POS sales data (the popularity side). Without costed recipes, you're making menu decisions based on volume alone — which is half the picture.
methodus provides the costing side of menu engineering automatically. Every spec includes contribution margin. Connect sales data and you have everything needed for a full menu engineering analysis.
Free 14-day trial · No credit card required