Shows menu engineering analysis and product performance charts.
A restaurant manager checks which products fall under Stars vs Turtles.
About
Provides an in-depth explanation of how menu engineering works and how to interpret results.
A new user learns how to use Stars, Puzzles, Horses, and Turtles for decision-making.
Here’s the example graph for the Menu Engineering , as you can see the points are different colors representing different values of the items for example if they are profitable . If you don’t understand what these terms mean refer to the documentation or the Abouttab.
Available Filters
Filter Name
Description
Notes
Business Day
Filters data by date. Default is Last Month.
Adjust for daily, weekly, or custom ranges.
Branch Name
Filters performance by branch.
Useful for comparing across different locations.
Product Name
Filters performance by specific products.
Example: BBQ Chicken Pizza, Four Cheese Pizza.
Category
Filters performance by product category.
Example: Bakery, Cold Drinks.
Metrics & Definitions
Metric
Definition
Notes
Profit
Total profit generated by a product.
Profit = Net Sales – Costs.
Profitability
The percentage of a product’s profit compared to total profit across all products.
Helps identify high vs low profitability items.
Quantity
Total units of the product sold.
Reflects product demand.
Popularity
The percentage of product orders compared to all product orders.
