Moodflicks

Choosing a film shouldn’t take longer than watching one.

Streaming platforms recommend by genre or popularity — not by how you feel or the situation you’re in. So people scroll, especially when they’re tired, short on time or somewhere unfamiliar. There was room for a more emotional, adaptive way to discover films.

Two people, too little time.

Claudia, 35, a tech professional with long days who wants something that matches her mood without effort. Alejandro, 38, a consultant always on the road, for whom films are company while travelling. Their journey — from hearing about the app to rating a film — showed where people drop off: long sign-ups, too many choices, recommendations that don’t feel personal.

Mood first. Then place. Then time.

Three features shape every recommendation: an interactive mood selector; geo-contextual suggestions based on where you are; and CineCrono, which filters films by the time you have. I led the integration of the location and viewing-time features, and mapped the flows that connect them.

Cinema red, warm ivory.

Red for energy and calls to action, a warm ivory background for softness and readability; Antique Olive for character and TT Norms Pro for clarity. Mid-fidelity wireframes became an interactive Figma prototype covering the full journey, from mood to final pick.

Design that listens to the moment.

MoodFlicks turns “what should I watch?” into a question about you — your mood, your place, your time. The project taught me how much a recommendation feels personal when the interface asks the right question first.

3

core features

2

personas

1

end-to-end prototype