Collaborators
Timeline
Tools
Tom McCluskey, Hannah Zhao
Sept 2023 - Dec 2023
Figma, UX Rsearch
Project Overview:
Transit Read
As avid readers, our team set out to solve a modern challenge: capturing and sustaining attention in a fast-paced world. With two-thirds of New York City's 8 million residents riding the subway daily and Manhattan commuters spending an average of 30.4 minutes each way, we saw an opportunity. While these commutes provide valuable time to read, attention spans have dramatically decreased, from 2.5 minutes on screens 20 years ago to just 47 seconds today. Our goal was to build an app that not only fits into the short bursts of time commuters have but also keeps them engaged and access to reading entertainment during their daily commutes.
“How might we create a reading app that keeps commuters engaged and makes it easy to enjoy reading during their daily subway rides?”
User Journey
Pain Points
User Persona
One notable quote from a fellow reader highlighted a common frustration when reading on the subway:
"I don’t even bother trying to read because of all the distractions."
This insight shaped our approach moving forward.
Research/Competitive Analysis
2. Libby
3. Wattpad
4. SerialReader
Specific Additions Added:
- Easy Online Library Checkout: An integrated system that connects directly to users’ Google accounts, eliminating the hassle of using or setting up a library card.
- Reading Summaries for Retention:Added summaries at the end of each reading session to boost retention and comprehension.
- Focus Mode: A distraction-free mode designed to help readers stay engaged and immersed in their reading for set periods of time.
- Reward System: A gamified system to encourage more reading, offering coin incentives for completing books, meeting reading goals, or staying consistent. Coins can be exchanged for shortened or skipped wait times for books.
User Flow Diagram
Styleguide
We chose a vibrant color palette of turquoise and yellow for a fresh, engaging look, paired with simple, modern typefaces for readability. After multiple iterations of our menu bar, we refined it to feature just three icons to maintain a clean and straightforward user experience.
Final Prototype
Next Steps
- To enhance user engagement, we plan to add more personalization features, such as in-depth reading recommendations based on user history, customizable reading lists, and tailored content for different time constraints (e.g., short reads for commutes). This will help ensure that the app adapts to individual reading preferences.
Focus Mode and Reward System:
- We will refine our Focus Mode, allowing users to set distraction-free reading sessions, with options to tailor it to their needs. Additionally, we plan to enhance the reward system to encourage consistent reading habits by offering achievements for completed books, reaching reading milestones, and maintaining streaks. This will promote long-term engagement and motivate users to read more.