ArticleCosts and profitability

The BCG matrix and menu engineering: making better decisions about your menu

How does the BCG matrix differ from menu engineering? Learn how to assess dish popularity, contribution margin and the operational impact of your menu.

Popularity and contribution: two views of your menu

A popular dish does not always leave the largest contribution. A high-margin item may sell so rarely that it contributes little to the restaurant’s overall performance. Menu engineering brings these perspectives together. It resembles the BCG matrix, but the two tools are not interchangeable.

A menu is an offer to guests, a production plan for the kitchen and a sales tool. Every item needs ingredients, storage, preparation and staff skills.

Keeping a dish should therefore involve more than the belief that guests like it. Check how often they order it, how much remains after ingredient costs and the operational workload it creates.

What do the BCG matrix and menu analysis have in common?

The BCG growth-share matrix evaluates a business portfolio. Its axes are market growth and relative market share. It helps organisations consider where to direct resources and investment.

Classical menu engineering uses different criteria: item popularity and contribution per portion after ingredient costs. Both approaches organise an offer into four quadrants, but their inputs and categories have different meanings.

Strong sales within your restaurant do not automatically mean that a dish has a large share of the local market. Growth in its sales is not the same as market growth. These distinctions matter when using analysis to guide decisions.

AspectBCG matrixMenu engineering
SubjectBusiness areas or product portfolioMenu items
First criterionRelative market sharePopularity within a menu category
Second criterionMarket growthContribution per portion
Main useResource allocation and investmentPricing, recipes, promotion and menu decisions

Four groups of dishes, four different tasks

Classical menu analysis identifies four groups. High and low refer to thresholds within the group being analysed, not universal standards for every restaurant.

For stars, protect quality, availability and consistency. For plow horses, investigate price, recipe, portion size and purchasing terms. Puzzles require an explanation of why guests do not choose them. For dogs, assess whether the item has an important role or simply adds complexity.

A category label alone should never decide whether an item is removed.

  • Stars: high popularity and high contribution per portion.
  • Plow horses: high popularity and low contribution per portion.
  • Puzzles: low popularity and high contribution per portion.
  • Dogs: low popularity and low contribution per portion.

Food cost percentage is not enough

Consider two illustrative dishes. All figures exclude VAT and are shown in PLN.

Dish A has a lower food cost percentage. Dish B nevertheless leaves PLN 9 more per portion before other costs.

This contribution is not net profit. It must still help cover labour, energy, rent and other operating costs. In classical menu analysis, selling price less ingredient cost is a starting point that should be supplemented with operational context.

If dish B requires substantially more work at the busiest station, its higher contribution alone may not make it the better option during peak service.

MeasureDish ADish B
Selling pricePLN 40PLN 60
Ingredient costPLN 10PLN 21
Food cost25%35%
Contribution after ingredient costPLN 30PLN 39

How to prepare an analysis that supports management

Start with a comparable category, such as main courses. Gather portions sold, actual selling prices after discounts and up-to-date recipe costs.

Use the same reporting period and account for days when an item was unavailable. Low sales of a dish unavailable for half a month mean something different from low sales of one offered every day.

Comparing similar items is more useful than ranking coffee, desserts and expensive main courses together. Add operational information so the analysis also captures the impact on the kitchen and stock.

  • Preparation time and complexity.
  • Ingredients used in only one item.
  • Waste and shelf-life problems.
  • The dish’s role in the restaurant’s identity.
  • Dependence on a particular employee or workstation.

Hotel restaurants need service-specific context

Analyse à la carte menus separately from banquets, room service and breakfast. Sales patterns, production and guest expectations differ.

An item ordered only occasionally by hotel guests may still be needed to provide a meal at a particular time or maintain a coherent offer. Check whether it can use ingredients shared with other dishes.

The aim is a conscious decision: understanding why the item stays and what cost the business accepts.

From analysis to a tested change

Choose a few actions that can be evaluated: a revised description, training in recommendations, a recipe adjustment or a price test.

Set a review date and compare sales, total contribution, waste and kitchen workload. Watch guest responses too. A change can improve one item while weakening another.

Read the practical guide to restaurant menu engineering

Menu analysis with Hospitality Pro

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