OVERVIEW
Reimagining a movie discovery platform as a mobile app that filters by 'vibe'.
Conventional siloed algorithms filters provide a universal way to navigate movie discovery, yet fail to support moments when users know what they feel, and not what to watch.
THE PROBLEM
'Netflix Syndrome' makes users spend more time choosing content than watching it, resulting in decision fatigue and action drop-offs.
Most users enter streaming platforms without a clear goal.
Browsing large content libraries quickly leads to decision fatigue.
Users spend significant time searching but often still fail to choose.
DISCOVERY
Users don’t decide what to watch based on logic, but emotion.
Me
I want to watch a movie that makes me feel… alive!
Discovery Platform
Here's a list of recommendations for comedy…
Me
??!
I'm so overwhelmed by these options that aren't even filtered accurately!
3 DESIGN PRINCIPLES
Intuitive selection of moods is an easier entry point than selecting a genre.
But how do we define Moods and Vibes?
Users were asked to describe the feelings they wanted to feel from a movie in the moment. Their vocabulary was collected into a word cloud that helped categorise 7 main moods, each with their designated combination of "vibe tags".
Select mood (s).
Add optional filters.
Get 3 movie recs.
Save or get new recs.
TEST & ITERATION
Explore, Refine, Polish.
Wireframes
Brand Identity for 'Moodi'
01
A cinematic, colour-focussed, and emotion-led mood board inspired the branding.
02
Each mood was assigned a distinct gradient language to reinforce emotional recognition.
03
Moodi was imagined as a TV mascot to build brand recognition and create a more companion-like experience.
