[in progress] Case study: redesigning the YouTube Culture & Trends website


Redesigning the YouTube Culture & Trends team's official website: youtube.com/trends
Role
Industry
Duration
Overview
The YouTube Culture & Trends team, a prominent voice in modern video culture, had a website that did not reflect the rigorous yet whimsical nature of the team. Notably, the website lacked interactive elements and felt quite static. Its latest real upgrade had been in 2019, and as the site became increasingly dated, its visitors diminished.
The goal of its revival was simple: help the site reach its full potential. It would be a shareable destination for brands, creator, and users to get plugged in to YouTube trends, learn more about the team, and appreciate YouTube as a platform that reflects culture.
Now the website is being recreated here, though it is still a work in progress, you will see that much of the feedback to make it more functional, whimsical, and dynamic is manifesting on the site.
Below we'll take a look at the process that was used to recreate this website.
The Starting Point
As a reference, here is a carousel with images showing the previous version of this website:
UX Research: User Interviews
We conducted interviews with six relevant users to better understand the ways this site could be improved. This included internal stakeholders who contribute or manage the existing website, as well as other people within YouTube Marketing. We interviewed one person who works at another company (not a competitor) who manages web design.
Synthesizing Results: Affinity Map
From the interviews, we gleaned the most important insights and put them in an affinity map.
Synthesizing Results: User Personas
From there, we created three user personas that represent the three highest priorities audiences of this website: journalists, creators, and advertisers.
Prioritization: Feature Set
We used the prioritzed feedback to create a desired feature set, which details the most important improvements to the site.
Flows: User Flow
After deciding on a feature set, we imagined a four flows a user might experience — image below.