My Sidekick: Films and TV Shows recommendation app
UX
Lean Survey Canvas
To gain basic knowledge about our users and their use of streaming platforms, we created a survey with a lean UX Canvas.
We wanted to know:
- How often do they watch a tv series or a film?
- Which streaming platform do they use?
- What do they think about their recommendations on their streaming platforms?
- …
Survey Results
50% of respondents find platform recommendations not that relevant.
90% of respondents subscribe to multiple platforms
50% of respondents find new series to watch on social networks
Interviews
After we collected data from our survey, we wanted to deepen our understanding of our users :
- Why do they use a legal streaming platform?
- How do they find a new TV series?
- How long does it take?
- Do they use their list?
- What was the last time they used it?
- …
To combine our research and find insights to work on, we did an affinity diagram. We voted for three domains: Finding Something to watch, Playlist, and List.
Insights
Our three most surprising insights were :
- Most peoples do something else while watching a tv series or a film,
- Most peoples chose things to watch thanks to the poster,
- Almost everyone thinks they spend more time searching for something to watch than actually watching it, which may lead to “I finished Netflix”
Personas
Based on our interviews and surveys, we set up three personas: one primary persona, one secondary persona, and one extreme persona.
Our primary persona is Marie, a 26 years old HR Officer :
Our secondary persona is a 20 years old college student, and our extreme persona is a 51 years old English teacher :
To find out our design opportunities, we did a user journey map for Marie, our primary persona:
She goes to Netflix and feels overwhelmed by all the choices; she can’t find anything. She goes to Prime Video; she’s lost because it seems less organized. Finally, after 20min, she finds a tv series to watch.
The main problem met by our persona is finding something to watch: it’s frustrating and time-consuming.
Problem statement
All of our research findings led to this problem statement :
“How to allow the user to get a recommendation that matches his mood/desire of the moment without being confronted with the boundaries of different platforms?”
UX Choices
After brainstorming, we did a Moscow Session.
Our features are :
- Watchlist: movie and tv series playlist based on genre, mood, period
- Questionnaire: get an ultra-personalized recommendation, which changes according to the answers.
UI
1st High-fi and iteration
Our app values are:
- Simple
- Enjoyable
- Friendly
We chose our values because we needed to highlight the posters, mainly because most people choose their movies through posters. We also wanted to limit the frustration that may be created from this task and create an enjoyable experience.
After our first desirability testing, our app was considered simple but not friendly or enjoyable. Mainly because of the watchlist’s and top 10’s layout.
So we iterated :
Style Tile
We added many different pop colors, a little bit everywhere, to make the app friendlier and more enjoyable while staying simple.
For our watchlist, we first decided to symbolize them with pills and icons. Pills were too similar to genre tags, and icons were misunderstood and not friendly enough. So we chose illustration.
At the center of our menu is our button Sidekick, which led to the questionnaire.
To keep our design consistent throughout the application, we created a design system based on atomic design.
High Fi
1st Flow: Marie is looking for something to watch, and finally adds a tv series to one of her personalized lists. (Click on the image to see the flow)
2nd Flow: Marie is completing the questionnaire to find the film of her dream. (Click on the image to see the flow)
