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How can we help people improve their sleeping environment?

Feb 2019 - May 2019   / 

Eunjung Kim (Independent Project)


Sheepless was created to help users improve their sleeping environment. The goal of this application is to let users create an optimized sleeping environment and receive personalized advice and recommendations for different ways to improve their sleep. Even though there are many people who are interested in a good night's sleep, there is a lack of diversity in terms of the functions that these applications provide. I wanted to know if there are other ways to solve the problem or if there are any latent needs that have not been discovered.

Adobe Illustrator


Adobe Photoshop


Adobe After Effects


Adobe XD






Final Cut Pro

1. Problem: What am I empathizing with?

This project started with a curiosity for how to help people improve their sleeping environment. I'm always suffering jet lag traveling from South Korea to New York and have tried several methods to fall asleep. However, when I searched for applications for better sleep, most applications have similar functions and those were not effective to me.

2. Research & Insight

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After I defined the problem, I started to research general ideas that people have about "sleep." According to Google Trends, users who searched for "sleep" searched for sleep methods such as relaxing music. These results showed that most people who have searched the term have tried some methods to sleep better.

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Based on the interviews, I created a current state of a user journey map that described pain points most current users experience. The current state of the user journey map was based on personas, which were categorized by the characteristics of interviewees.

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One of the interesting insights was most people use traditional ways, such as drinking hot tea or darkening their room, to fall asleep rather than using devices or applications. Another interesting insight was most people put some effort into a good night's sleep before they went to sleep.


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Most sleep-related applications focus on analyzing and tracking users' sleep patterns while they are sleeping or use sounds that wake them up or help them to go to sleep. Based on the market research, I found that there is an opportunity to segment my application to the position that gives personalized advice and focuses on the moments BEFORE the users go to sleep.


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The low-fidelity prototype user testing helped me improve the flow of an application. In this step, I decided to use 3 functions - Sleep Coach, Perfect Bedding, and Smart Devices - as the main functions.

After the second user testing, I decided to segment my idea to the position that gives personalized advice and focuses on the moments BEFORE the users go to sleep.

User Flow
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1. Sleep Coach

Sleep Coach is designed to improve the sleep environment BEFORE going to sleep. If you turn on the Sleep Coach mode, it will check the sleeping environment.

2. Perfect Bedding

Perfect Bedding analyzes the preference of beddings and recommends beddings that fit users based on the records and information they provided.

3. Smart Devices

Smart Devices is for helping users easily control their devices that use WiFi or Bluetooth BEFORE they go to sleep. Users can control their devices without going out of their beds if their sleep environment is out of their optimized environment.

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