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Commercial Strategy

Modern Menu Engineering: Data-Driven Design

Using data and psychology to create menus that drive profitability while enhancing the guest experience.

Andreas Breitfuss1 March 20268 min read

The Science of Menu Design

Menu engineering - the systematic analysis and design of menus to maximise profitability - has evolved significantly in recent years. What was once a craft based on intuition and tradition is now a discipline informed by data analytics, behavioural science, and sophisticated design principles.

Modern menu engineering combines rigorous profitability analysis with understanding of how guests actually make decisions. The result: menus that drive both financial performance and guest satisfaction.

The Menu Engineering Matrix

Traditional menu engineering categorises items into four quadrants based on popularity and profitability:

Stars (High Popularity, High Profitability)

Your best performers. Protect these items, feature them prominently, and resist changes that might diminish their appeal.

Plowhorses (High Popularity, Low Profitability)

Popular but not profitable. Focus on improving margins through portion optimisation, ingredient substitution, or subtle price increases.

Puzzles (Low Popularity, High Profitability)

Profitable but underselling. Improve positioning, enhance descriptions, or train staff to recommend these items.

Dogs (Low Popularity, Low Profitability)

Neither popular nor profitable. Candidates for removal or significant repositioning.

Beyond the Matrix

While the classic matrix remains useful, modern menu engineering incorporates additional dimensions:

Contribution Margin Analysis

Look beyond percentage margins to absolute contribution: - A $5 margin on a $20 item (25%) may beat a $3 margin on a $10 item (30%) - Focus on contribution per cover, not just item profitability - Consider order patterns and what items are purchased together

Menu Mix Modelling

Understand how item changes affect overall performance: - Removing a low-performing item may shift demand to other items - Adding items creates competition with existing offerings - Price changes on one item affect perception of others

Guest Journey Analysis

Map how guests actually navigate menus: - Eye-tracking studies reveal how guests scan menus - Digital menus provide data on browsing patterns - Order sequence analysis shows decision-making process

Design Principles That Work

Research-backed design principles for effective menus:

Strategic Item Placement

- Prime real estate: Upper right on single-page menus, first items in categories - Anchoring: High-priced items make others seem reasonable - Decoy items: Strategic options that make target items more attractive - Visual cues: Boxes, graphics, and spacing that draw attention

Description Optimisation

- Sensory language: Words that evoke taste, texture, and aroma - Origin stories: Provenance and sourcing that adds perceived value - Preparation details: Techniques that suggest care and craftsmanship - Appropriate length: Enough to entice, not so much as to overwhelm

Price Presentation

- Format choices: Research on currency symbols, decimal places, and price placement - Price ending: Strategic use of .00, .95, or .99 endings - Bundle pricing: Packages that increase total spend while offering value - Relative pricing: Using item relationships to guide perception

Visual Design

- Clean hierarchy: Clear organisation that guides the eye - Appropriate images: Photos that enhance rather than cheapen - White space: Breathing room that suggests quality - Typography: Fonts that match brand positioning

Implementation Process

A systematic approach to menu engineering:

1. Data Gathering

- Sales mix data by item - Cost data by item - Guest feedback and preferences - Competitive menu analysis

2. Analysis

- Profitability calculation for all items - Matrix categorisation - Trend analysis over time - Pattern identification

3. Strategy Development

- Decisions on each item (keep, modify, remove, reposition) - Pricing strategy - Design direction - Staff training requirements

4. Design and Testing

- Menu design development - Testing with select tables or locations - Measurement of impact - Refinement based on results

5. Rollout and Monitoring

- Full implementation - Staff training and briefing - Ongoing performance tracking - Regular review and updates

Case Study: Simplification Success

A compelling example comes from Nobu, which reduced menu size by 22% while increasing margin per cover by 14%. Key elements:

- Removed poor performers: Eliminated items that weren't selling or weren't profitable - Streamlined categories: Simplified navigation for guests - Focused execution: Kitchen could deliver higher quality on fewer items - Enhanced descriptions: Better storytelling on remaining items - Strategic pricing: Adjusted prices to reflect true value

The result was better guest experience (less decision fatigue, more consistent quality) alongside improved financial performance.

Digital Menu Considerations

As digital menus become more common, new opportunities emerge:

- Real-time optimisation: Adjusting recommendations based on inventory or demand - Personalisation: Tailoring presentations to known guest preferences - A/B testing: Rapidly testing different approaches - Data collection: Understanding browsing and ordering patterns

However, digital menus also require attention to user experience, ensuring technology enhances rather than hinders the dining experience.

Conclusion

Modern menu engineering combines art and science - creative design informed by rigorous analysis. The most successful operators approach menu development as an ongoing discipline, not a periodic exercise.

Effective menus don't just list what's available. They guide guests toward choices that satisfy their desires while supporting business objectives. When done well, menu engineering improves both guest experience and financial performance.

The menu is one of your most powerful tools. Engineer it accordingly.

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