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Menu Engineering: Stars, Plowhorses, Puzzles, and Dogs

Series: Restaurants — Menu and Economics Level: Practical Audience: Restaurant owners, executive chefs, general managers

Menu engineering is the analysis and optimization of your menu based on two metrics for each item: how popular it is (how often it sells) and how profitable it is (how much margin it generates).

The result is a 2×2 matrix that gives you clear, actionable direction for every item on the menu: promote, reposition, reprice, or remove.

Research shows guests spend an average of 109 seconds studying a menu before ordering (Gallup). A well-engineered menu actively influences what they choose in those 109 seconds.

Menu optimization through engineering typically increases profitability by 10–15% without changing prices.


Two axes:

  • Y-axis (vertical): Popularity — how often an item sells relative to the rest of the menu
  • X-axis (horizontal): Profitability — contribution margin (selling price minus food cost)

This produces four quadrants:


High popularity + High profitability

Your best performers. They sell well and generate strong margin. Think your signature burger, pasta carbonara, or fan-favorite dessert.

What to do:

  • Feature them prominently (top-right of menu, first in a section)
  • Give them photos, descriptive copy, or a “recommended” badge
  • Brief servers to actively mention them
  • Don’t change them without strong reason — these are your golden geese

High popularity + Low profitability

Guests love them but they don’t earn much. Often this means expensive ingredients or historically under-priced items.

What to do:

  • Slightly adjust the recipe (portion size, substitute one ingredient)
  • Test a modest price increase — 5–10%, no announcement needed
  • Add a profitable modifier or side (charged separately)
  • Don’t remove them — they drive traffic. Without Plowhorses, guests go elsewhere

Low popularity + High profitability

Profitable items that guests aren’t ordering. These are potential Stars — find out why they’re being overlooked.

What to do:

  • Move them to a more prominent position on the menu
  • Improve the description: add the story, the technique, the sensory language
  • Train servers to proactively recommend them
  • Add a photo or visual callout in the menu or on table cards
  • Consider a modest price reduction to stimulate trial

Low popularity + Low profitability

Nobody orders them and they earn nothing. They take up menu real estate, confuse guests, and complicate kitchen prep.

What to do:

  • Generally — cut them. Fewer items = clearer choice for the guest
  • Exception: if the item is essential to your brand positioning or serves a critical dietary segment (e.g., the only vegan option), keep it — but don’t promote it
  • Before removing: try renaming, repositioning, or reformulating first

From your POS system over a defined period (4–12 weeks recommended):

  • Number of times each item was ordered
  • Revenue per item

From your chef or kitchen manager:

  • Food cost per portion for each item
Contribution Margin = Selling Price − Food Cost
Example:
Ribeye steak: $38 (price) − $14 (cost) = $24 CM
Pasta: $18 − $5 = $13 CM

Note: a high CM in dollars beats a high CM percentage. The ribeye above generates more margin per sale than the pasta — even though the pasta may have a lower food cost percentage.

Menu Mix % = Item Units Sold / Total Menu Items Sold × 100
If a section has 20 items: average = 5%
Above 5% = popular; below 5% = under-performing

Build a simple table in Excel or Google Sheets: two columns (CM and Menu Mix %), mark items as high/low relative to average. That’s your matrix.


Data tells half the story. The other half is how you present information on the physical menu.

Evidence-based design principles:

  • The “sweet spot”: Guests look to the upper-right first. That’s where your Stars go
  • Remove currency symbols: “28” sells better than “$28” — currency symbols activate what psychologists call “the pain of paying”
  • Limit choice: 7 ± 2 items per section is the cognitive optimum. More = decision paralysis
  • Descriptions drive sales: “Slow-braised over an open wood fire” outsells “braised” every time — the story matters

  • Quarterly: Full matrix analysis based on the previous quarter’s sales data
  • Seasonally: Update items to align with seasonal availability and price shifts
  • When supplier costs change: Recalculate food costs and flag Plowhorses that may have crossed into Dog territory