As a small team(only me and one Android developer), we wanted to move faster, get user feedback by testing the prototype before shipping the product. We designed the feature based on our assumptions and use data to inform design iteration. I worked closely with engineers to ensure our goal is clear, and every product detail will think through carefully.
Many people had hard time when they looked for a cafe that fits their needs.
Many people feel tired of reading a lot of information about the cafe on the blog, they only want to know the crucial information quickly.
Josh is a senior student currently studying in business management, he likes to learn new knowledge, also had internship experience in different company. and wanted to be a cross-fields talent. He used to go to cafe for working on the class notes or taking the online courses at the weekend.
Lucas is a sales manager who is passionate and energetic. He's currently working in an e-commerce company. He is keen on his work and always wants to take care of his clients. He often goes to the cafe with his clients for business purposes.
Emily is a freelance designer, she has huge passion and continuous energy in Design. She believes she can get inspiration from her daily life, so she loves to talk to people and observe the interaction between people. She's also a coffee lover, she often takes her laptop and working in the different cafes 3 days per week.
The search results on google(blog, user reviews, photos) are usually unformatted which could be hard to digest in a short period of time. And it's also time-consuming to assess if the cafe is right for them.
Launch a simple Android app that helps people search & explore the cafe they like.
Allow people to search by certain criteria will help them easily find a suitable cafe based on their needs.
Browse cafes on the map will help people discover more cafes in their desired location.
Since we only had two people when we started the project, we need to carefully prioritize our tasks in order to ship the product, we worked closely to make sure the most important things have been implemented.
When we started the projects, we used the open-source API, which means we were not able to change or add the information due to the existing data structured. We decided to focus on the user-facing features and create our own database later on.
After I finished the information architecture, I started looking into the paper wireframe that allows me to visualize how each component and visual element should be positioned on the page. It also gave me a chance to think about information hierarchy that I can present the content and function in a more structured way. I had a bunch of discussions with the team and I iterated the wireframes to make it more concise and align with everybody's expectation.
Before I dig into visual design and creating page layout, I tried to figure out what would be the reasonable information architecture that users can easily find their way in the app.
After scoping out the features we would like to deliver for the first launch, I started working on the visual design and address the interaction detail. This MVP version is fairly simple and it only took us around two weeks to build it. We want to use this MVP to see how people would interact with it and gather more feedback to help us keep iterating on it. The core features for this release includes browsing on the map, search by keyword and filters, check the nearest cafe, as well as switch cities.
Over 70% of users click on the “nearest” button, which gave us a signal that people might want to find a cafe around them or they want to find a cafe immediately when they on the go. The data is based on 739 times click events.
Each user opens the app 2.6 times per day on average, and daily active users were growing gradually, which is not bad but there are definitely a lot of rooms to improve. How to increase user engagement would be our next big goal.
This MVP only provide the basic information of the cafe, there are not many functions that users can interact with, as soon as people find the cafe they like, they will tend to leave the app. So we need to think about how can we provide more value to users of staying longer in our app.
The core features MVP includes browsing on the map, search by keyword and filters, check the nearest cafe, as well as switch cities.
Next iteration offers stronger filters, list view, community-related functions, and a more integrated user interface and better user experience.
We also added the onboarding screens which when users first launch the app, we will show a series of feature highlights, that give users a quick overview of what can they do in this app.
We're working on redesigning the entire app to make it more friendly and usable.
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