Cork City Vintage
Tired of rain-soaked market stalls in Cork, my brother and I had the idea to digitise. Cork City Vintage is a stylish and convenient iOS app where you can shop the finest locally curated vintage.
Timeframe: Jan 2023 - Jun 2023 Tools: Figma
The Problem
Operating a vintage clothing stall in Cork was challenging – from hefty stall fees to the unpredictable Irish weather. The solution? I hatched a plan to craft a user-friendly digital presence for our market stall, bringing the thrill of vintage shopping to customers' fingertips.
Research
Using sources such as dribbble and behance for inspiration, I kicked off the project with a moodboard to explore potential design directions while also familiarising myself with the asthetics of an ecommerce clothing app.
I conducted a competitor analysis on some popular clothing apps such as asos & urban outfitters, along with some vintage clothing apps such as depop and gullygarms.
I looked for design conventions, user flow, and UI consistency. I also looked through reviews to see what users liked and didn't like.
To gather early insights and uncover potential pain points, I conducted usability tests with three users on 'gullygarms' and 'urban outfitters' apps.
Analysis
I used an affinity diagram to extract value from my unstructured research data, and identify patterns in users' experiences. It revealed common pain points, particularly in the checkout process.
While I was expecting more patterns to emerge here, it was still a valuable exercise in structuring my data.
I made a customer journey map to visually illustrate the customers experience at each phase in the process. I noted users' goals, behaviours, pain points and mental models.
Combining my own ideas with my research data, I generated an extensive list of 30+ features. By employing the MoSCoW method, I prioritized and condensed the list into a few high-value features.
Design
I developed a user flow diagram. My aim here was to create an efficient and simple flow, removing any steps that might cause the user to drop off.
Prototype
I created a low-fidelity prototype on figma with the aim of using it to conduct some early usability tests to validate the overall concept, flow, and interaction design elements.
After conducting a usability test on the lo-fi prototype, the user feedback revealed that the overall flow was smooth, but they disliked the immediate login screen as it felt unnecessary. To streamline the experience, I removed this optional step.
In creating my high-fidelity prototype, I employed a basic design system encompassing colors, typography, and components. This ensured improved consistency and enhanced design efficiency throughout the app. Additionally, I crafted a logo for the project.
Validation
I validated the solution through usability tests with 3 users. All users noted the simplicity of the app, and thought that it was an efficient process. Users also liked the options available to them in the homepage.
The Problem
Operating a vintage clothing stall in Cork was challenging – from hefty stall fees to the unpredictable Irish weather. The solution? I hatched a plan to craft a user-friendly digital presence for our market stall, bringing the thrill of vintage shopping to customers' fingertips.
Research
Using sources such as dribbble and behance for inspiration, I kicked off the project with a moodboard to explore potential design directions while also familiarising myself with the asthetics of an ecommerce clothing app.
I conducted a competitor analysis on some popular clothing apps such as asos & urban outfitters, along with some vintage clothing apps such as depop and gullygarms.
I looked for design conventions, user flow, and UI consistency. I also looked through reviews to see what users liked and didn't like.
To gather early insights and uncover potential pain points, I conducted usability tests with three users on 'gullygarms' and 'urban outfitters' apps.
Analysis
I used an affinity diagram to extract value from my unstructured research data, and identify patterns in users' experiences. It revealed common pain points, particularly in the checkout process.
While I was expecting more patterns to emerge here, it was still a valuable exercise in structuring my data.
I made a customer journey map to visually illustrate the customers experience at each phase in the process. I noted users' goals, behaviours, pain points and mental models.
Combining my own ideas with my research data, I generated an extensive list of 30+ features. By employing the MoSCoW method, I prioritized and condensed the list into a few high-value features.
Design
I developed a user flow diagram. My aim here was to create an efficient and simple flow, removing any steps that might cause the user to drop off.
Prototype
I created a low-fidelity prototype on figma with the aim of using it to conduct some early usability tests to validate the overall concept, flow, and interaction design elements.
After conducting a usability test on the lo-fi prototype, the user feedback revealed that the overall flow was smooth, but they disliked the immediate login screen as it felt unnecessary. To streamline the experience, I removed this optional step.
In creating my high-fidelity prototype, I employed a basic design system encompassing colors, typography, and components. This ensured improved consistency and enhanced design efficiency throughout the app. Additionally, I crafted a logo for the project.
Validation
I validated the solution through usability tests with 3 users. All users noted the simplicity of the app, and thought that it was an efficient process. Users also liked the options available to them in the homepage.
The Final Product
