Under 5’10 is a menswear brand built by shorter men, for shorter men. Since the average height of the American male is 5 foot 10 inches, every piece is made with inseams from 24 to 28 inches and proportions designed from the ground up, so nothing needs to be altered before it can be worn. Trusted by over 200,000 customers, the brand covers jeans, chinos, shirts, and suits, all cut for a guy who has spent years rolling cuffs and searching for a tailor.
As Under 5’10 grew, sizing became a bigger part of the business problem. The brand was already attracting the right shoppers to the site, but the team needed more of them to buy the right size and keep what they ordered.
Pants and jeans added another layer to the sizing problem. A shopper may know his waist size, but still need help choosing the right inseam, fit, and length. If he gets that wrong, the order is more likely to be returned.
In March 2025, Under 5’10 turned to Fit Quiz Size Recommender. It gave the team a way to ask better sizing questions without making the shopping experience harder. On a typical pants and jeans product page (PDP), shoppers can already choose between tapered and straight fit, waist sizes, and inseam lengths. Fit Quiz Size Recommender helped connect those choices to the questions a flat size chart cannot answer.
The quiz asks what pants size the shopper usually wears, whether they always wear that size, how tall they are, what fit they prefer, and how they would describe their hip and seat shape. That gave Under 5’10 a better way to recommend both size and length without relying on shoppers to compare measurements on their own.
For Under 5’10, the recommendation was more useful than a standard size chart because it could account for the size someone usually wears, how consistent that size is, preferred fit, height, hip shape, and seat shape before recommending a size and length.
Fit Quiz helped us move beyond a standard size chart. We could ask the fit questions that matter for our pants and jeans, then give shoppers a recommendation that made sense for the product they were actually buying.
