Friends help friends watch good movies

Reelfriends

An app designed to provide you the best streaming movie recommendations by utilizing your existing social network

Role

UX Designer

Skills

UX/UI
User Interviews
Wireframes
Prototypes
Visual Design
Usability Testing

Platforms

App

Tools

Figma

Maze

Miro

After Effects

Gallery

Overview

First time user

Create an account, connect to your friends, and add your streaming networks

Welcome home, friend

From here you can quickly find your recommendations or send one to a friend

Top recommendation

The single best recommendation for what to watch based on multiple factors (close friend or not, recency of the recommendation, the total number of times the movie has been recommended by friends, etc.)

Just push "play"

Immediately start playing on your primary device

Ask for help

Use three tags to describe the type of recommendation you want to receive

Sharing is caring

Select a movie, and add three tags, to send to a friend

Case Study

“To explore a problem space you’re passionate about, and design a solution for it. Weekly assignments will culminate in a mid-course design critique, and the final project demo to be delivered to the class.”

I love film. Movies have always played a huge role in my life.

My grandparents movie palace / home in Pakistan

During the COVID-19 pandemic we found ourselves “sheltering-in-place” with little to do.

March 2020: "Shelter-in-place" begins

With the closure of movie theaters, and the desire for studios to launch their own streaming services, there was an endless amount of content to watch, at any time

2020: Disney+, Apple TV+, HBO Max, Peacock, and more

Research

User interviews focused on streaming services, and movie/tv watching behavior.

Every user found choosing what to watch to be a frustrating, and difficult process. This issue, by far, dominated every interview.

“It’s hard for me to decide [what to watch]”

“I find it difficult to figure out what to watch”

“I “doom-scroll” trying to find something"

“I worry about time, and picking the wrong thing”

Further responses helped provide deeper insights into the users' behavior

“I don’t trust the platform

recommendations”

“What I watch depends on

what mood I’m in”

“I usually rely on what my

friends recommend”

“I never watch what is on

my watchlist”

In a study of 2,000 Americans:

30 minutes spent deciding what to watch

58% struggle to track what to watch

56% turn off the TV and do something else

55% opt for re-watching a show or movie

Interview responses fell into one of five categories: decision making, recommendations, general/habits, platforms, and watchlists

Completed affinity map

Streaming movie watchers need a better way to receive recommendations so that they can spend more time watching, and less time scrolling.

How might we provide better recommendations to streaming movie watchers?

With sketching completed, I began to define the features for consideration

Design

The key feature of the solution would be the ability to give or receive a recommendation for a movie

User flows for primary features

Multiple rounds of wireframes and usability tests helped quickly validate and define feasibility of key features

Selection of wireframes

Prioritization

Provide the fewest, but strongest recommendations - ideally, one (inverse of “paradox of choice”)

Personalization

Only personally relevant content based on social network, history, and existing subscriptions

Efficiency

The goal is to watch a movie, not spend time on the app - this should be focused on efficiently getting you off the app and watching a movie

Testing and redesign

Words + context matter

“Mood”, like art, is subjective. What was driving the feelings around the “mood” feature (and the streaming platform recommendations) was that moods, and art, are subjective. Not everyone finds the same things funny, or sad, or romantic, or disturbing. We all have independent lives, and unique experiences. Because of this the platform recommendations usually don’t feel accurate, or personal. The algorithms that drive them are built to find statistical similarities, not to understand and respond to our subjective experience.

However, there is something that is great at understanding and responding to your subjective experience: your friends and family. In the continued discussions and interviews, a crucial finding emerged: users did trust recommendations and guidance from friends and family.

Redesigning with tags

Users can to add three unique “tags” to each request or submission. Users can apply familiar vernacular to confidently express their preferences or attitudes, with each specific interaction.

"Mood", redesigned into "tags"

Visual Design

Each design consideration was made to ensure we were meeting users where they were

The goal of reelfriends is to be a simple, and easy app to talk about and share movies with friends and family