Product Discovery is an extremely important aspect of any e-commerce application, which allows the customers to find and purchase the desired product. Inspite of the brand gaining attention, the search feature was not able to cater to the customer requirements as desired. Our goal was to identify the problem and assist our customers to achieve a fulfilled shopping experience.
Feature Design
Figma
Miro
Microsoft Clarity
Jan 2021 - Feb 2021
5 weeks
Production
I was the primary Product designer for this project and checked in regularly with the other designer on the team and other stakeholders. The niche context of the project required close collaboration with the content strategist and the developers.
Designed concept low-fi wireframes, refined features and designed high-fi prototypes.
Conducted competitive analysis of the search query formulation.
Analyzed the task completion rate using the search module, Led the current system audit, Conducted usability test for the proposed solution.
We are providing an informed visual and interaction pattern to enforce the natural behavior of the users towards the search. It has been understood that queries entered in search bars are primarily used for navigation, finding information. The redesign of the search is about providing a well defined copy and iconography resonating a informed and natural rhythmic flow.
We are separating the suggestion list for the input query into different groups based upon the content of the QF( Categories, Products ). This separation does not mean different results but highlights the differences in the information types, effectively reducing the visual noise.
We bringing accurate & meaningful content to our customers. The new search enables seamless onsite search, minimizing discovery effort, even when customers make a mistake. With an aim to reduce the bounce rate the new search QF suggestion gives result even with unmatched relevant query input reducing no results.
We are introducing a multi-lingual Search to handle 10+ different local languages. This means we reframes entire search framework to handle multi-lingual query input and provide relevant results. But does not change the way we search, the new design simply understands the input type and provides QF results with balanced copy anticipating customers intent.
We conducted UX audits to examine the performance of each module for the current platform. We used Heatmaps and Session Recordings of the users using Microsoft Clarity.
Despite having a fully functional MVP search, it did not fulfill the needs of our customers. The current system work well for ideal use cases, but in reality our customers are not aware of the offerings by the brand and hence required the eCommerce to assist the customers find information.
Today internet users are supported by intelligent systems which are focused towards solving problems for human. The onsite search supporting The Nature's Bowl eCommerce was set to index exact parsed query input which works perfect for exact query match and does not tolerate any human error. Customers need to be precise in order to use the tool. Also, the current design did not incorporate any error feedback experience, this degraded the perceived quality of the brand.
After getting a fair understanding of the current search feature and learning about the issues faced by our users, we undertook the task of understanding the approach taken by our competitors.
Based on the issues identified and the observations from the competitive analysis, we started brainstorming solutions for the targeted issues.
As someone with no familiarity with the product range, I would want to explore the range of product offered by the brand using my limited knowledge
Proposed Workflow
As someone who frequently uses various search engines, my objective would be to find the desired products with minimal efforts.
Proposed Workflow
The goal of this framework is to make the product discovery and search experience intuitive by incorporating multi-lingual keyword search assist in order to increase the sales conversion.
Proposed Workflow
Some of the key takeaways through this project
