Cinelect
FALL 2024
HUMAN CENTERED APP DESIGN
FIGMA PROTOTYPING
USER RESEARCH
An app design aimed at increasing efficiency and enjoyment finding a movie to watch, this project utilizes user research to build a user centered system that will provide a random selection of movies based on personalized preferences and input based around situation and mood.
PROCESS OVERVIEW
01
Problem Identification
Needs analysis and research to identify and define the perceived need within the topic.
02
Ideation
Doing market research, sketching out concepts, and hashing out a couple different project solutions.
03
Development
Going off of the ideation, taking the best solution and developing the app design from wireframes to full mockups.
04
Implementation
Taking the fledged out mockups and creating a functional prototype of
the application.
01
PROBLEM STATEMENT
This app design aims to address the problem identified through the following problem statement, and inspiration from the personal struggles of the members of the team:
“With over 1.1 billion users subscribed across 9 different streaming platforms, the global access to movies is greater than it’s ever been. Yet, with such a wide selection of options, many users struggle with deciding on a movie to watch. According to a vox study, users average 45 hours a year deciding what to watch next, averaging 7.4 minutes a day. While seemingly insignificant, the algorithms put in place to solve this problem have made it worse.”
NEEDS ANALYSIS
Working from our problem statement, we started to collect data through an Online Survey. From the survey, we were able to determine these key findings.
A vast majority of the participants don’t have apps they currently use to help decide on a movie to watch, though the majority of them expressed frustration with the task.
The main source of movie decision making from participants was suggestions through word of mouth or through the streaming platforms they use.
When asked: “If there was an app that gave you a curated selection of 3 to 5 movies based on your interests, would you use it?” all but one of the participants said yes.
02
IDEATION/MARKET RESEARCH
Data collection led to further exploration of the concept, resulting in the creation of the proposed solution: an app built around creating a curated selection of films (4 to 5) that would be chosen and proposed to the user.
We found two different programs trying to do this: Random Movie Picker and PickAMovieForMe.com. We also considered applications such as IMDB and Letterboxd as helpful tools for selecting movies.
What we found lacking within these programs was random suggestions that were consistent with specific preferences of the user.
03
INFORMATION ARCHITECTURE
Going into the production of the app, the information architecture was built to examine the pages needed to fulfill our desired outcomes. The information architecture focused on getting the user to the prime directive of the app, which is to have the app select random movies for you.
Thumbnail Sketches
Working off the Information architecture, we worked out a multitude of thumbnail sketches, exploring the options for what layout we would use for the app’s design
Low Fidelity Mockups
From the sketches, we were able to move into Figma, building low fidelity mockups of the design, working without color or images.
04
Final Mockups and Prototype
From this scenario, we built a moodboard to guide the design we would go forward creating. The keywords we developed for our moodboard were:
Floaty
Pastel
Evolving
Dreamy
Whimsical