Youtube App


User Researcher, UI/UX Designer

UI/UX, Product Design

Duration: 2 Days

Redesign & Channel Feature (Passion Project)

I am an avid youtube user. It’s a place where I can watch all of my favorite hobbies, passions, and shows in one place. Over the years, I have followed many channels that I enjoyed. However, as I continued to subscribe to more and more channels, I found it harder to find certain channels amongst the many subscriptions I followed. I decided to resolve this issue by developing a new feature called “My Channels” which would allow users to find content by filtering and categorizing channels based on hashtags links.



Before developing any actual product, I needed to understand who the user might be. I started developing questions as to who might fit the average youtube persona and then focused on their experiences with managing their youtube subscriptions. I looked into YouTube’s mobile insights to gauge an understanding of the audience and what active users interacted with.


As of 2018, Youtube accounts for 1/3 of the people on the internet with over 149 million monthly users where the average age range is from 18-34 years old. The average mobile session lasts more than 40 minutes. 50% of Youtube is viewed through mobile devices and it is estimated that 62% of people prefer video platforms to live television. It is predicted that by 2025, half of the viewers under 32 will not subscribe to a pay-TV service.

These facts tells us that the average consumer of YouTube is a younger audience between the ages 18-34 who often streams through the use of the mobile app. Smart phones in this day and age nearly do everything for us, in which we can watch our video content from wherever.

With this rise in mobile viewership and the increasing number of channels, the capacity to filter content in the future will be much harder. Our mobile screens can only show us so much of what we want to see. Youtube takes into account the number of subscriptions a person may get, but misses the bar on providing an effective user experience when showing subscription based content.


I asked youtube consumers, what feature they spend most of their time on, where they watch their content on and how many subscriptions they currently had in their account.

I found that majority of the participants focus on their subscriptions page where they can scroll through personalized content. The age range was around 18-35+ in which 72% watched youtube on their phone over other devices with an average of 172 subscriptions in their account.


I found inspiration looking through my Discover Weekly Spotify Playlist where I found that they categorized songs based on user input (song choices, like and dislikes). I liked how the Discover Weekly Playlist generated songs that were personalized and similar to the genres that I listened to. I thought that this would be a great example of integrating user feedback in real-time to effect future relatable content.

Problem: Youtube subscription list has become too cluttered to navigate for specific content.

Solution: An automated filtration system based on Youtube’s hashtag categorization that allows users to view relevant content based on their personal interest and hobbies.



I started developing ideas and concepts on how the user would interact with the feature. My first idea was to include the feature in the subscriptions page.



After doing some preliminary sketches, I reworked the user interface for cleaner legibility and understanding. In Adobe XD I developed these screens showcasing the user-flow and functionality.

Artboard – 2.png

High-Fidelity Mockups

Once I was satisfied with how the content was structured, I moved onto adding in the assets and making sure the usability was thought out. I also did small adjustment to the interface to make the app feel more up-to-date with the latest UI trends. I added a subtle grey background to the automated content to give a distinction from the main subscriptions.



Overall, I think that this project has helped me understand the impact that user personas and background research plays when developing new tools to build trust and personalized content.