Enhancing the User Experience for Seller and Product Search.
The interface is likely to undergo significant updates and iterations. Therefore, the update is divided into two key phases:
For frequent group-buy users, the primary motivation is saving money. Thus, the core design goal can be defined as:
Without introducing new elements, adjustments should focus on optimizing existing content.
Using a card-based layout ensures low design cost while highly matching data delivery, maximizing the content’s coverage and impact.
While the design is in a good state, further optimization can be applied to small elements and component sizes for improved balance and clarity.
With the support of powerful algorithms, the waterfall flow layout has become a cost-effective, highly efficient recommendation solution for apps like Taobao, retaining users by offering a continuous browsing experience.
However, this design is not suitable for all product categories. Unlike Taobao’s broad range of products, which encourage exploration similar to short video scrolling, group-buying is focused more on lifestyle service products.
Consider upgrading the recommendation unit from single products to product categories to improve relevance and engagement.
Through observation, it was found that after users scroll down multiple times to refresh, group-buying content is replaced with live streams and lifestyle-related posts. As such, the original structure will be retained and placed under the "Featured" tab. However, I believe that inserting such content into a need-driven group-buying service is not a good idea, as users who enter the group-buying section are naturally looking to directly browse low-priced items they are interested in. Therefore, this page will not be set as the default tab.
Retain "Super Deals" as an ad slot and introduce a new style of ad card that displays a collection of four recommended items at once, adding diversity to the interface.
Recommend relevant and familiar content based on the current time and user preferences, helping to quickly address users with clear, goal-oriented needs (e.g., finding lunch options).
Shift from the original single-item-based layout to a category-based structure, making it easier to understand user needs and provide faster recommendations.