SuperNatural Eats
A meal-prep and delivery service with a nutrition-conscious customer base tied into the CrossFit community came to us with a leaky checkout, a confusing product catalog, and a rough mobile experience.
The engagement covered a full redesign of the ordering experience from information architecture through a new custom meal plan builder and checkout flow.
Conversion rate improvement from 1.9% to 2.5% measured over the 6 months following launch.
Online revenue growth from $160K to $240K in the same period.
A heuristic review, site analytics, and a handful of observed user sessions surfaced a consistent picture: customers were dropping off before completing an order, and those who did complete it were confused about what they were actually buying.
With the problem areas mapped, I restructured the site architecture and replotted the core ordering flow to eliminate redundant steps. Wireframes were used to pressure-test structure before moving to visual design.
A restructured site map with clearer product naming, products and services into distinct paths.
Mapping the existing checkout made clear which steps were redundant. The revised flow cut three steps from the order-to-confirmation path.
The visual direction aimed for clean and appetizing photography-led design, with enough white space to let the food do the work. This was a deliberate move away from the cluttered, text-heavy layout that had been there before.
Many users were asking for a way to create their own meal plans, rather than being locked in to a weekly menu-based plan.
The builder allowed users to build their own meal plans, choosing from a variety of proteins, vegetables, and grains, with a macronutrient calculator to see the exact macronutrient content of each meal.
This feature was a success, especially for users who were looking for a more personalized meal plan. It was also a nice way to showcase the brand's commitment to health and wellness, and resonated a lot with their CrossFit customers.
The biggest takeaway from this project was that a little bit of data analysis and user research goes a long way. Oftentimes, you don't necessarily need a huge research budget to uncover valuable insights.