73% of restaurants fail to track dish-level profitability during lunch service, missing critical revenue opportunities. Office guests prioritize speed, predictability and value over elaborate presentations. Smart menu structuring boosts both revenue and margins during those crucial lunch hours.
The 4 quadrants of menu engineering
Menu engineering sorts your dishes into 4 categories using two key metrics: popularity and profit margin.
- Stars: Popular and profitable - promote these aggressively
- Plowhorses: Popular but low profit - increase prices or cut costs
- Puzzles: Profitable but not popular - improve promotion or repurpose ingredients
- Dogs: Neither popular nor profitable - eliminate from menu
💡 Example lunch menu analysis:
A cafeteria restaurant analyzes their 8 lunch dishes over 4 weeks:
- Caesar salad: 120 sold, €3.50 profit per item = Star
- Healthy sandwich: 95 sold, €1.20 profit per item = Plowhorse
- Quinoa bowl: 25 sold, €4.20 profit per item = Puzzle
- Soup of the day: 15 sold, €0.80 profit per item = Dog
Specific characteristics of business lunch
Office diners operate under different constraints than evening customers. This shifts your engineering approach entirely.
- Speed: Maximum 45 minutes, ideally 30 minutes
- Price consciousness: Budget typically €8-15 per person
- Health focus: Strong demand for lighter, nutritious options
- Consistency: Repeat customers expect their favorites available
Calculating profitability per lunch dish
Menu engineering requires two data points: popularity (straightforward to track) and profitability (needs accurate cost calculations).
💡 Example profit calculation:
Carpaccio sandwich priced at €11.50 (incl. 9% VAT):
- Selling price excl. VAT: €10.55
- Ingredient costs: €3.80
- Food cost: 36%
- Profit per item: €6.75
At 40 weekly sales: €270 profit from this single dish.
⚠️ Note:
Always calculate profit excluding VAT. Menu prices include 9% VAT for food items.
Optimization strategies for lunch menu
Your analysis reveals specific actions for each dish category. Here's how to execute them.
Maximize Stars
- Position prominently on menu (top items, highlighted boxes)
- Train staff for active recommendations
- Test modest price increases (€0.50-1.00)
- Guarantee ingredient availability daily
Transform Plowhorses into profit drivers
- Increase prices by €1.00-1.50 (monitor popularity impact)
- Reduce portions slightly (5-10% reduction)
- Substitute expensive ingredients with cost-effective alternatives
- Bundle with high-margin side items
💡 Example Plowhorse optimization:
Popular ham and cheese toastie earning only €1.20 profit:
- Original: €6.50 price, €4.46 ingredients, €1.20 profit
- Changes: Raise to €7.50, switch to cheaper ham (-€0.30)
- Result: €2.20 per item profit (+83% increase)
Weekly impact at 80 sales: €80 additional profit.
Practical implementation tips
Menu engineering isn't a one-shot effort but requires ongoing measurement and adjustment cycles. From analyzing actual purchasing data across different restaurant types, establishments that review monthly see 15-20% better profit margins than those reviewing quarterly.
- Track dish-level sales monthly
- Adjust cost prices when supplier rates change
- Test price modifications in small increments (€0.50 steps)
- Factor seasonal preferences (summer salads, winter soups)
Systems like tools like KitchenNmbrs automatically display per-dish profitability and highlight optimization opportunities instantly.
How do you apply menu engineering to your lunch menu?
Collect data from your current lunch menu
Measure for 4 weeks how much of each dish you sell. At the same time, calculate the exact cost price per dish including all ingredients. You need both figures for the analysis.
Divide your dishes by popularity and profitability
Create a cross table with popularity (number sold) on the x-axis and profitability (euro profit per item) on the y-axis. Distribute your dishes across the 4 quadrants: Stars, Plowhorses, Puzzles and Dogs.
Take targeted actions per category
Promote Stars more, make Plowhorses more profitable through price increases or cost reductions, try to make Puzzles more popular, and remove Dogs from the menu. Measure after 4 weeks whether your actions had an effect.
✨ Pro tip
Analyze your top 3 lunch dishes every 6 weeks during peak season. These items typically generate 65-75% of lunch revenue, so even small profit improvements here create substantial bottom-line impact.
Calculate this yourself?
In the KitchenNmbrs app you can do this in just a few clicks. 7 days free, no credit card.
Was this article helpful?
Frequently asked questions
How often should I analyze my lunch menu with menu engineering?
Review your sales data and profitability monthly. Office diners develop consistent ordering patterns, so significant changes typically emerge after 4-6 weeks. During seasonal transitions (September and January), more frequent analysis helps capture shifting preferences.
What if a dish is popular but not profitable enough?
You've identified a 'Plowhorse.' Start by reducing ingredient costs through cheaper alternatives or smaller portions. If cost reduction isn't feasible, gradually increase prices by €0.50-1.00 increments while monitoring sales volume.
Can I apply menu engineering to a small lunch menu of 6 dishes?
Absolutely. Even with 6 options, you can identify your popularity and profitability leaders. Focus optimization efforts on your 2-3 highest-volume dishes since they drive the majority of your lunch profits.
Should I always remove Dogs from the menu?
Not necessarily. Some dishes serve strategic purposes - like healthy options that enhance your reputation - or have seasonal appeal that hasn't peaked yet. Give underperformers 2-3 months, but eliminate persistent Dogs to streamline operations.
📚 Sources consulted
- EU Verordening 852/2004 — Levensmiddelenhygiëne (2004) — Official source
- EU Verordening 853/2004 — Hygiënevoorschriften voor levensmiddelen van dierlijke oorsprong (2004) — Official source
- EU Verordening 1169/2011 — Voedselinformatie aan consumenten (2011) — Official source
- NVWA — Hygiënecode voor de horeca (2024) — Official source
- NVWA — Allergenen in voedsel (2024) — Official source
- Codex Alimentarius — International Food Standards (2024) — Official source
- FSA — Safer food, better business (HACCP) (2024) — Official source
- BVL — Lebensmittelhygiene (HACCP) (2024) — Official source
- Warenwetbesluit Bereiding en behandeling van levensmiddelen (2024) — Official source
- WHO — Foodborne diseases estimates (2024) — Official source
Food Standards Agency (FSA) — https://www.food.gov.uk
The HACCP standards shown in this application are for informational purposes only. KitchenNmbrs does not guarantee that displayed values are current or complete. Always consult the FSA or your local authority for the latest regulations.
Written by
Jeffrey Smit
Founder & CEO of KitchenNmbrs
Jeffrey Smit built KitchenNmbrs from 8 years of hands-on experience as kitchen manager at 1NUL8 Group in Rotterdam. His mission: give every restaurant owner control over food cost.
Engineer your menu for maximum margin
Menu engineering combines popularity with profitability. KitchenNmbrs gives you the data to strategically design your menu. Test it free for 14 days.
Start free trial →