Mirror - Responsive e-commerce web design & Information Architecutre

From research to implementation, I designed a responsive e-commerce website for Mirror, a fashhion brands company. Mirror is fictional brands and this project was completed as part of Designlab's UX Academy program.

My role: UX Designers an UI
Limitation: 4 weeks
Tools: Figma, Photoshop, Miro, Optimal Workshop

Overview

challenge

How might we design a new responsive e-commerce website, with a modern logo and branding, that enables Mirror to compete with other online clothig stores, and allows Mirror's customers to quickly and easily shop online for clothing? 

Goal

My goal is research, implement and design a new responsive eCommerce site and to redesign the logo

Process

Research

Reseach goals

Competitors Research

I started this project with secondary research, including a competitor analysis to get an overview of the current online clothing shopping marketplace, and provisional personas to illustrate my assumptions about the target audience at the time.

Users Interview

Next, I did primary research to gain insight into the people I’d be designing for. My goal was to better understand what customers expect, want, and need when shopping for clothing online.

Interview process

The study involved four interviewees aged 25-35 with different buying habits. Two women and two man. I asked questions in order to understand their buying habits, what makes them buy, and what may stop them from buying. What is important to them on the e-commerce site and what features do they use. In addition, I tried to understand the importance of shipping times and shipping cost

Examples of question:

Conclusion

Goals / Need

Frustration / Fears

Persona

Following research, I synthesized my research findings in order to better understand users and their problems. I dug deep into my findings and developing user personas and empathy map to summarize all my research findings in a human-centered way.

Empathy Map

Information Architecture 

In this part I conducted a Card Sorting, Page sketches and build a sitemap

Participations

10 Participation, 50% from USA, 40% From Israel, 10% from Australia.
2 male and 8 female
participants created a total of 20 categories, with a median of 4 categories each

Similarity matrix

This view shows the proportion of the participants who grouped any 2 cards in the same category

Findings and conclusion

The most common categories are Accessories, Bottoms, Brands, Clothes, Shoes and Jackets and tops.
2 Participation sorted by gender
3 Participation open a new category for swimsuit
4 Participation put the shoes brands under shoes category and didn’t open category for brands
6 participation decides to open a new category for shoes brands

To Remark:
It would be worthwhile to expand the study in order to draw clearer conclusions
Due to limitations the study was conducted on only 20 cards. It is worth to do the research with a large number of cards that will describe the names of the products and items that will be on the site

Sitemap

This research helped me define the website’s information architecture, which I illustrated with a high-level sitemap.

Here you can find the full sitemap

Task Flow

User Flow

Interaction Design

Before I started creating the wireframes, I made sketches that helped me visualize the flow of my idea and generate wireframes.
Then I digitized the wireframes and created a responsive design for mobile, Desktop and desktop

Wireframe

High-Fidelity Design

Prototyping & Testing

With the desktop UI designs, I wrote a usability test plan and made a mid-fidelity interactive prototype in Figma for in-person usability testing. It was important to test whether my decisions around information architecture, content strategy, interaction and visual design were easy to use by the target audience. it was time to observe how users interacted with my designs and gather some feedback, then use that information to iterate!

Objective

Affinity Map

With all the data and analyzing the results from the previous step, I built an affinity map that helped me understand the user's behavior and be ready to move on to iteration.

Priority Matrix

Using the following map, I was able to visualize the product and determine what features to invest in to gain the most value

Iteration

Based on user feedback, I added the following iterations to the websites1. The option to filter by price range was added

2. The love icon (add to wishlist) added to the nav bar
3. Added a section on the product page with the recently viewed items
4. The color of the menu is changed to green to differentiate from the footer
5. Shipping and return policy button has been added to the checkout page