Netflix

Overview

This group project was 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 related to a novel technology and create a concept to address those issues.

Concept for Netflix search filter

Our team chose Netflix for the project due to its popularity and identified a common problem among users. Many find it challenging to choose what to watch from the extensive list of suggestions provided by Netflix.

Solution

We developed an additional search filter aimed at users who are unsure of what to watch. The concept involves answering a few quick questions, which leads to 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 if they do so. Moreover, 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 and non-use of our concept will benefit them.

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 friends and family. Later on the we tested the solution with students from Umeå University.

Team

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