Revel mobile for learners
Background
I’ve been part of the Revel Mobile project since 2014. The initial work was focused on how we might migrate our textbook content to a more mobile friendly platform. The experience took the backseat to making sure the content was performant and readable on all devices. This did, however spark some interesting concepts.
My role
UX Designer, UX Manager, Creative Direction
Early concepts
Our earliest iteration was a 1:1 adaption of the web app. A lot of the early work was transforming homework tools into mobile experiences. The UX team that I lead iterated, card sorted and tested what would become tools for the student to complete any activity on their device.
What we learned
While these tools were super cool and went on to be used for other Pearson Apps, such as Aida, we had very little usage. We learned that students weren’t using their mobile devices as they would their computers.
Equation editor, also used in Aida
Graphing calculator
Research
Once we had a solid framework for our mobile app, we dug into student study habits and behaviors.
Key insights
students use multiple artifacts, or devices to study.
They create hacks to assist how they study best.
Study behavior survey
Study behavior foundational study
Codesign session
Co-design
I facilitated a co-design with 7 students, discussing their study habits, writing “love/hate” letters, story mapping and sketching their experience.
Key Insights
Completing homework is reaching a goal. Progress is important to encouraging progress,
Most participants used study apps such as Quizlet and Chegg to support their studies
The participants read on their mobile device, particularly in between activities or when “bored”
Often, participants will listen to videos on their mobile device to keep concepts fresh
iPad sketches from Codesign session
Hypothesis - 2018
We believe that by providing learners with a variety of brief study activities that are available anywhere, allow for interruption and communicate through reminders and positive encouragement, we will help the learner be better prepared for class.
Desired Outcomes
Steady repeat sessions by unique ids, ideally 10-20 or more a week.
A high task completion rate (65%) either per or across sessions, as measured by either a low drop off rate, or a 65% percent visit rate to activity summary screen
15% adoption by Revel users
Positive Appstore reviews
Competitive analysis
Our research team conducted a competitive analysis, looking at our competitors (McGraw Hill, Cengage) as well as various study apps (Quizlet, Duolingo, Khan Academy) and a few analogous examples (oriented on goal setting; exercise, weight loss, financial).
Key Insights
Edtech apps are robust feature wise, maybe too robust. Usually the experience is serviceable, but certainly not delightful
The study apps are more affective in engagement. Duolingo, for example is fun and communicative. Khan Academy is shallow, encouraging, with short, impactful content
Userflows
After synthesis and a concept exercise, I put together our two main flows. Our Study flow we decided to elevate into its own task, instead of associated with the chapters of the course content - a decision I still question.
Homework userflow (remade for portfolio)
Study userflow (remade for portfolio)
Information architecture
We kept the 2018 pretty conservative by keeping most of the web functionality in tact, if less prominent.
Original Sitemap (remade for portfolio)
2018 Design
We designed it to be clean and simple, if not a little boring.
Bookshelf v2
Assignments v2
Study v1
Outcomes
A monthly average of 17,253 downloads between 2018-2019. Approximately 420,000 downloads in total, 20% of Revel Users.
An iOS Appstore rating of 4.8, with over 6k reviews.
A NPS score increase of +16 for learners who use the mobile app
“This app makes it simple to study anywhere”
- Appstore review
What we learned
By positive reviews, we learned that learners are using the app to Study. However, looking at google analytics revealed that more of the time is spent in reading content and not “Study”, which I think says a lot about the mental model.
Most of the time, however was spent listening to content. the Audio playlist revealed itself as the Hero feature.
Audio
The audio playlist was a feature added to address accessibility. However, it has the highest usage in the application and extends sessions by 50%
Data from Tableau
“I can listen to the text and even read when I don’t have internet. This is truly the future of all textbooks!”
-Appstore review
Audio playlist
2021 Iteration
In Q4, 2020, we started exploring how we might simplify this experience even further. We did this by observing the data around how learners used the app. As mentioned our main two focuses within the app were reading and listening. decided to simplify navigation to elevate these two work flows
Desired outcomes
To increase assignment completion across session
To promote good study habits by refactor what we mean when we say study
To elevate the Revel brand by making it a delightful consumer facing experience
Revised architecture
We consolidated “content”, “assignments” and" “scores” into one simple workflow in order to reduce redundancies. We updated study by associating suggestions to user performance, creating randomly generated quizzes based on how they previously performed.
Revised sitemap
Wireframes
We went back to our focusing on and simplifying our main two conceptual models: homework and study.
Homework wireframes
Revised study
We rethought our study experience, building it based on user performance.
Instead of pushing flashcard/key term based studies, we instead created randomly generated reviews and elevated topics that the learner should focus on.
The small pivot aligned Study to support exam study more than homework study.
Study wireframes
User testing
We ran an unmoderated study on Usertesting.com and found the following:
Key Insights
6 out of 7 participants were encouraged by seeing their streak and weekly average. The wouldn’t want it gamified any further.
If they believe that the questions and topics we provide them are the ones they need to work on, they will use this to improve their understanding. However, if our backend logic doesn’t match theirs, the won’t trust it.
This feature applies more to the high achieving students. We need further study to understand how to appeal to those who need the help most.