Aug 2025 - Oct 2025
OZI Sleep is an innovative 3D printing bed frame company dedicated to serving both children and the elderly. I have partnered with (2) product managers and (2) developers to redesign the website and mobile app.
- User Research
- Wireframes
- High Fidelity Prototype
- Usability Testing
How might we
Ensure the (nighttime) readability for elderly users?
The OZI Sleep mobile app is designed for parents monitoring their children’s sleep and for elderly users tracking their own sleep stages via a smart bedframe. However, the current app can’t effectively communicate essential information due to a complex information architecture.
Painpoints
We collected feedback from 10+ current users aged from 35 to 65 and conducted 3 interviews to gain a deeper understanding of their pain points and needs.
The user flows that took our users from the landing page to any subpage had multiple points of friction or action buttons for the elderly.
The daily, weekly andd monthly data and trends representation are not explicit for users, making it difficult for users to interpret patterns over time.
The data is objective for users to relate to their personal sleep progress or feel a sense of accomplishment.
Define Key Pillars of the Product
Users need a consistent representation of the sleep metrics and professional data analysis with customized recommendations in the next step. In this case, they are more likely to trust the insight, follow the recommendations, or engage with in-app services.
The new design should prioritize ease of use and highlight the key insights.
Solution
Prioritize data through clear representations that emphasize trend tracking, enable one-tap navigation, and provide customizable insights tailored to individual user needs.
Design.
Understand Sleeping Data
The user should be able to immediately understand what happened during the previous night upon opening the app. However, the original design has low information density and ineffective information hierarchy on the home screen, providing only limited insights.
- Prioritize last night’s outcome as the primary entry point with a visualized graph
- Condense information on the home page
- Transform a collection of disconnected metrics into a clear narrative summary of the user’s sleep
- Classify sleep metrics and break them down into different forms
Understand Sleep Trend
As the app continuously collects users’ sleep data, it enables data scientists to derive meaningful sleep trends across defined time cycles. However, the original design used only a calendar view that encodes sleep scores with color, preventing users from perceiving patterns and changes over time.
- Have a weekly and monthly summary that compares different sleep metrics in a visualized way
- Highlight positive and negative change by color and shapes
- Add a calendar table to choose a time frame flexibly
Achieve the Goal
23% Increse DAU OZI Sleep connects 3D printed hardware with a mobile app to effectively improve users’ sleeping status. However, the current solution just plainly showcases the data rather than encourages users to achieve their original goal.
- Compulsively force the user to set their sleeping goal monthly
- Add Sleeping Insight compared to their goal
- Sleeping assistant that intelligently anaglze their behavior and trend.
- AI-generated Sleep Music that could play during sleep in the integrated pod