Mirror Clothing

Student Project 2022

A responsive commerce site where customers can conveniently shop.

Role: Product Designer

Tools: Figma, Zoom, Optimal Sort

Duration: 80 hours

Background

Mirror is a successful clothing store founded in 1994 with over 400 stores around the world. They were finally ready to take their business online since they only had a very outdated informational website that only listed locations, promotions, and a bit of background about the company. They did not want to keep anything that they had and wanted a new logo and an e-commerce responsive website where they can sell their products online.

Problem Statement

Mirror’s customers want the convenience of an online store.


Challenge

Design a new logo and an e-commerce responsive website where they can sell their products online.

Research

Goals

  • Understand what motivates to people shop online.

  • Discover how people choose which online stores to visit.

  • Discover users' biggest pain points when ordering online.

Methods

  • Market Research

  • Competitive Analysis

  • User Interviews

All about e-commerce!

Key Takeaways

  • A personalized experience is important to users

  • Attractive UI is important to keep users on the site

  • Users are using mobile more than desktop

63% of shoppers will stop buying from brands that aren’t using personalization tactics

38% of shoppers will leave a website if it looks unattractive

Mobile commerce statistics say that in 2021, 73% of all online sales acme through the mobile channel

Strengths

  • Fashion design team

  • Strong brick and mortar

  • Strong online presence

Weaknesses

  • Website is difficult to navigate

  • Ethical concerns of fast fashion

Sizing up the competition

Strengths

  • Strong online presence

  • Customer centric approach

  • Inexpensive products

Weaknesses

  • Lack of originality

  • Ethical concerns of fast fashion

Strengths

  • Strong brand name

  • Customer centric approach

  • Variety of products

Weaknesses

  • Controversy

  • Limited brick and mortar

User Interviews

  • Participant #1

    PRODUCT MANAGER
    25
    Female

  • Participant #2

    ENGINEER
    24
    Male

  • Participant #3

    WEALTH ADVISOR
    25
    Female

  • Participant #4

    ACCOUNT MANAGER
    26
    Female

I just feel like you don’t know if [the clothes] are going to be nice. You can obviously look and see if it’s acrylic or wool, which I always do, but you just never know. That’s my biggest pain point for online shopping, just not knowing what you’re going to get until you get it.
— Participant #1
  • Participants want to know more about products before they order

  • Participants admitted that they often end up buying things that they saw on social media

  • Participants said they often pick where to online shop based on how much they like the website and will exit if it’s too complicated

Key Takeaways

After gaining a deeper understanding of how user’s feelings and habits associated with online shopping, I created a persona to reference and help guide my design choices

Meet Rebecca!

To gain more empathy with our users and understand the broader influencers in their lives, I created an empathy map based on our persona “Rebecca”.

What influences our users?

I decided to do a cart sorting exercise to gain a better understanding of how my users expect to see a clothing website organized. I went went with the open card sorting method to see what language the participants used on their own.

What do our users expect?

  • Majority of participants put outerwear into a category labeled “Jackets and Coats” as opposed to what I assumed would be “outerwear”

  • Participants consider “loungewear” to be a different category than other tops and bottoms

Key Takeaways

Mapping it out

Next, I wanted to map everything out by creating a site map. I used the information from my research and card sorting to plan it out.

Finding: Users more commonly refer to outerwear as "jackets and coats"
Decision: Name the category "Jackets and Coats"

Finding: Users expected there to be a different category for comfortable clothing
Decision: Create a "loungewear" category

What’s the user’s path?

To help understand the steps that a user would go through to complete the main flow, I created a task flow for purchasing a shirt. Online shopping isn't anything new and I wanted to make sure the flow would be familiar and easy for the user to navigate.

Wireframes

I created my wireframes by sketching on paper and then built them on Figma. I referenced all of my previous research and work to help make my design decisions

Finding: Users want to know as much about the clothing as possible
Decisions:

  • Easily accessible "details" section on the product pages

  • Easily accessible reviews from previous purchasers on the product pages

  • Linked social media posts on the landing page to see the clothes in different environments

Logo

Through competitive research and sketching, I designed the Mirror logo. All of the top competitors use simple logos with the store's name. I knew I wanted to do that too but add something fun. That's when I decided to flip one of the Rs so it would appear to be a reflection of the other. It felt like the cleanest way to add a bit of flare.

Simple, but fun!

Here is the style tile I created to show the different elements and overall vibe I wanted the site to have. I knew I wanted it to be simple enough that the clothing would be able to pop but also have some fun elements that would make it stand out from the crowd.

Bringing my designs to life

With my style tile and wireframes in hand, I was ready to create some high fidelity mock ups. I started with the desktop pages and then stacked everything up for the versions.

Prototype

From my research, I found that majority of users are shopping on their mobile devices. For the sake of time, I decided to only go forward with the mobile version for my prototype and usability testing.

Check out this version of my prototype here!

Finally showing our users

Time to see if it works! I was excited to finally get my designs in front of some users and see what they thought.
These usability tests were done in person and over zoom using my Figma prototype.

Test Objectives:

  1. Test if a user can easily perform the main flow

  2. Discover any confusion and/or pain points

Scenario for participants: You misplaced your favorite black sweatshirt and are looking for a new one to replace it. I want you to show me how you would find one and purchase it. Please select size medium.

Learn more about the results of the tests below with the affinity map!

Users don’t like clicking

I created an affinity map to help organize the findings from the usability tests in a more digestible way.

Key takeaways

  • Overall participants had an easy time going through the flow

  • Participants couldn't tell if their item was added to cart or not

  • Particiants did not like all of the dropdown menus

Reducing the clicks

Finding: Users do not like clicking!

Design Decisions:

  • Moved the search button to the main navigation bar to reduce clicks it takes to find it

  • Added a category carousel to the landing page for quicker access

Finding: Users don't like dropdown menus because, again, they do not like clicking!

Design Decisions:

  • Switched the color and size options to buttons instead of drop downs to reduce clicks

Finding: Users were clicking "add to cart" twice because they didn't know if their item had been added.

Design Decisions:

  • More feedback after clicking “add to cart” by having the button change colors and give a confirmation message

Finding: Users thought the stars for the ratings looked weird.

Design Decisions:

  • After some competitive research, I decided to simplify the stars to one color for a cleaner look.

What’s next?

Since this was a student project and Mirror is a fictional company, this is as far as these designs will go. But, if I were to move forward, my next steps would be:

  • Test my iterations

  • Build and test the account feature

  • Handoff to developers

  • Ongoing testing and iterating the site based on customer feedback and analytics