LocalEyez provides users with a personalized dashboard that addresses their interests when looking for events and experiences.
Experience It!
LocalEyez provides users with a personalized dashboard that addresses their interests when looking for events and experiences.
Experience It!Project Overview
LocalEyez provides users with a personalized dashboard that addresses their interests when looking for events and experiences, but they are currently only operating as a website and are looking to expand usage by creating a mobile application for it's users.
The goal for this project was to create a streamlined onboarding process for the new mobile application that provides users with a personalized dashboard addressing their interests when looking for events and experiences through machine learning, to be set up in the initial onboarding process.
For this project, my roles included mostly visual design. I was responsible for creating the mobile onboarding, including user flow, wireframing, visual design, and prototyping.
Design Process
Research & Discovery
The research team provided the following details and insights for the key demographic and target audience for this product based on their research.
The research team also provided personas that were created based on the target audience to represent the user type and paint a picture of who the user really is.
My assignment for the onboarding flow suggested that the pattern appear similar to those used by Meetup and Flipboard. I wanted to make sure that the concepts and patterns I chose would have the most effective impact for the product in terms of efficiency, effectiveness, and intuitiveness.
Information Architecture
In order to understand the path users take to accomplish a task, I needed to create a user flow. This flow allows me to see how the app will operate and help me find the most efficient way to map out the options and pathways for the product. For this project, I knew I needed to keep it simple and include machine learning for personalization.
Sketching is a great way to get the ideas down on paper and really see what it looks like, luckily with sketching, editing is very easy and fast. I sketched out some ideas incorporating the ideas I pulled from my generative research.
For my sketches, I replicated patterns similar to Meetup and Flipboard, incorporating machine learning aspects as well. After several iterations, I was ready to turn my ideas into digital versions.
These are the first digital versions of my sketches and the layout for the design, they’re the low fidelity wireframes. Considered low fidelity because they are meant to be very basic, not a lot of color or visual design elements, strictly layout. For the most part, my wireframes resemble my sketches almost exactly as I had pictured. I didn’t go through a ton of iterations on this, it was meant to be very simple and straight forward.
Log in Flow
Sign up Flow - 3rd Party
Sign up Flow - Email
In order to test and make sure the product was aesthetically pleasing and understandable, I added the visual design elements like branding, color, and illustrations. I still made sure to keep my MVP in mind and keep it basic and simple throughout the process.
Log in Flow
Sign up Flow - 3rd Party
Sign up Flow - Email
Interactive Prototype
Final Thoughts
Successes & Learning Opportunities
Conclusions
Created an effective and intuitive onboarding process for a mobile application that has been backed by user research, providing a solution that streamlines the process of onboarding new users and meets the outlined goals assigned to our team.
In the end I learned so much about the value of the onboarding process and the importance of pattern selection, especially in conjunction with machine learning algorithms. Most importantly, I learned how to effectively address the needs and concerns of the users provided through user research.