Collaborating with American Specialty Health, we built a mobile android app to help guide people towards the best sleep they can have through teaching people about their sleeping habits and utilizing Cognitive Behavioral Therapy principles for their insomnia.
The Center for Disease Control considers less than seven hours of sleep per night to be insufficient in adults, and a “potential health problem.” I know for a fact that if I stayed up until 1am watching the Great British Baking Off on Netflix, and woke up at 7am for my dog’s morning walk then I am not getting enough sleep frequently. Yikes. However, only I understood my sleeping habits and needed to understand what exactly was happening to many others.
I redesigned the curriculum prioritizing its information architecture and behavioral design regarding progress in mind. My solution optimizes and eases navigation within the player through a renewed horizontal navigation bar as curriculums often have nested sections upon sections which initially discouraged users to explore the curriculums in the first place. With the goal of increasing user engagement with the learning modules, I designed progress bars in order to create a sense of reward after finishing their modules.
Cognitive Behavioral Therapy for Insomnia (CBT-I) is an evidence-based solution for poor sleep. Our tips are screened thoroughly and updated regularly to ensure you're getting the most updated information there is. CBT-I is recommended as first-line treatment for insomnia, more effective than drugs, and provides long lasting results. The effects are proven to persist after therapy is discontinued.
“What are the specific challenges people face when they have sleep problems?”
We were in uncertain waters, and were unsure of the background or context of our problem space besides our own learned sleep experiences. Therefore, we used a well used discovery research process known as the Double Diamond in order to broadly understand the scope of our problem before focusing on creating a solution for the wrong problem.
Participant Demographics: 18-65+, 11 participants, all US locations
Goal: In order to submerge ourselves into the sleep space, it was important to primarily hear from their sleep routine. Getting good sleep is a process and oftentimes, the things that an individual does before they sleep has a large effect on the quality and quantity of sleep.
Goal: In order to better understand the problem space, we wanted to know what current solutions are being used out there such as similar sleep help mobile apps. In learning our competitors, Nidra would be able to better market themselves and improve upon its own solution.
Key Takeaway: Thanks to Clay Christensen’s study about milkshakes, we were able to focus on who our actual competitors were. People are hiring different methods and products to help them sleep that are not necessarily sleep apps. People for answers from friends, the internet, social media, and trial and error.
Goal: While I conducted user interviews and I was able to collect qualitative data, I needed to validate my qualitative data with quantitative data. It would help in confirming the assumptions from the user interviews since they were from a smaller data set.
We conducted a survey of 400+ respondents and our data showed what type of solutions they were currently seeking and how effective those solutions were.
Now that we knew our problem space better than we started. We wanted to rapidly test concepts and iterations to narrow our positioning and the design of our delivery.
GOAL: In order to begin solutioning, we needed to know answer these questions: What should we build? & For whom should we build?
Fake door testing is an easy yet very powerful method with which you can measure interest in a product (or a new feature) without actually coding and implementing the product itself. For more information on how to conduct a front door test.
Through Front Door testing and utilizing targeted google ads, I tested:
I used Instapage to create a landing page for potential solutions and learned how to conduct google ad tests by talking to our marketing team and how they currently use it!
After conducting multiple front door tests and utilizing Google Ads to lead potential customers to this landing page, we were able to learn different affinities of our market audience. Through Google Analytics, it was determined that the main audience who were seeking sleep solutions for were 65+ and 67.7% female, 32.3% male.
GOAL: In order to begin solutioning, we needed to test multiple concepts as quickly and scrappily as possible. Therefore, I decided to rapidly test out sample concepts.
Based on the takeaway from my user interviews, I decided to brainstorm concepts that would help people who suffer from ruminating thoughts when trying to sleep.
GOAL: Test concepts for content delivery quickly. Since the sleep solution would largely be based on cognitive behavioral therapy techniques, I needed to test different ways of delivering personalized sleep tips to users.
GOAL: Update prototypes as we learn from our tests. As I learned more and more from the insights on our rapid concept testing, I developed wireframes that could fit the needs of our audience.
After coming to a more finalized prototype, I created a multi-day usertest so that users would be able to track their sleep and learn how to better sleep through the prototype. At the end of each day, I gathered feedback from user interviews and 4 main takeaways from the interviews were:
Defining a specific target audience helped us focus our offering and positioning
Rapid Iterative Testing is Cheap and Effective
MVP is key: