Native Checkout
Native Checkout is a Walmart checkout solution that allows users to complete their purchase on a single-page screen through 3rd party platforms, bypassing a lengthy checkout process. Despite its streamlined approach, NC encountered issues that hindered its performance against our user satisfaction and conversion benchmarks. Our goal was to enhance the interface based on usability studies to address these issues.
Previously, when customers clicked on an ad for a Walmart product, they encountered a multi-step checkout process that required considerable cognitive effort and patience:
View item page
Add to cart
View cart
Continue to checkout
Place order
Alex, Mary, Nadya | Onilab LLC
"How might we create a more seamless shopping experience for users arriving from 3rd party platform ads?"
We observed that this lengthy process could be cumbersome, especially for customers who arrive with a specific item in mind. They may not be interested in exploring all of Walmart’s features, additional ads, or the lengthy checkout process. Our goal is to provide users with a more focused, streamlined checkout experience to minimize distractions.
Research & Analysis: After listing all the page assets of the current checkout experience, I ranked them based on priority and their importance to the customer journey, identifying which assets could hinder successful conversions. The list was narrowed down to the following essential assets: Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Did you enjoy the teaser? 😉 Dive deeper into the process, explore the results, and check out the mocks to see the full story*
The redesign of Native Checkout successfully addressed the usability issues, resulting in a more intuitive, efficient, and transparent experience. The enhanced UX/UI design led to improved metrics and greater user satisfaction, demonstrating the importance of understanding users and social commerce behaviors in the e-commerce landscape.
As a result of these iterations and added features, we observed significant improvements in our key metrics, detailed below: