Netflix

Overview

University group project, developed during the User Research for Interaction Design course in 2018 as part of the Human-Computer Interaction master program at Umeå University. The aim was to identify problems in existing technology/service and to create a concept to solve those issues.

Concept for Netflix search filter

My group chose Netflix for the this project due to its popularity. After reseraach and interview with students, we identified a common problem among users - many find it challenging to choose what to watch from the extensive list of suggestions provided by Netflix.

My role & group tasks

Role: UX reseracher, note-taker, videographer

Tasks:

• Initial interviews (Netflix users)
• Brainstorming and identifing the problem
• Personas and Empathy maps
• UI wireframes/prototype (solution)
• User testing
• (future) Next steps: refining the protype, user testing

Solution

Before and after our solution:

Our solution is an additional search filter aimed at users who are unsure of what to watch. The concept involves answering a few quick questions, offering movie suggestions that match the user’s mood and available time. Inspired by the game Akinator - the web genius, users can stop answering the questions at any point with broader results. A Random button provides users with a few tailored movie options when they have no specific idea of what to watch.

Personas and Empathy maps

For this project we developed 2 personas and empathy maps that show how the use (blue line) and non-use (grey line) of our concept would benefit them. We used the data, collected during the initial interviews.

Prototype

The prototype was low-fidelity, developed on Adobe XD and used only to test the concept –> LINK to the prototype

User testing

During the project we conducted online and in-person interviews with students from Umeå University.

Here is a video from the interviews:

Team

On the project I worked with my groupmates Na-Hyun Kim, Philip Björkstrand, Arvid Horned