Omni
Omron’s AI-powered health assistant provides BP insights, predictive alerts, and behavioral nudges for better heart health.
Problem Statement
How about we increase the percentage of users who achieve improved health outcomes by consistently using Omron devices and solutions?
Problem Background
Omron users, from at-risk individuals to long-term hypertensive patients, struggle with interpreting trends, maintaining consistency, and taking proactive steps for blood pressure management. This problem is urgent because hypertension is a silent killer, contributing to severe health risks like heart disease and stroke. While Omron devices effectively track blood pressure, users often lack actionable insights, leading to disengagement and missed opportunities for early intervention. Many rely solely on doctors or caregivers for insights, leading to gaps in real-time support. Research confirms this gap- 95.7% of users are strongly interested in AI-driven solutions that will bridge the knowledge gap.
Research Insights
User Pain Points
- Lack of Personalized Insights: Users struggle to interpret BP readings and lack actionable guidance.
- Inconsistent Monitoring & Engagement: Users often forget to check BP regularly, leading to incomplete health data.
- Tedious Manual Data Entry: Entering readings manually is time-consuming and discouraging.
- Complex Data Visualization: Users find it difficult to understand long-term trends in their BP data.
- Limited Healthcare Integration: Difficulty in sharing BP reports with doctors or syncing with other health platforms.
- Accessibility & Usability Issues: Seniors and less tech-savvy users find navigating the app interface difficult.
Supporting Data
1. The frequency of blood pressure monitoring varies, with 14.9%(7) checking multiple times a week, 10.6%(5) checking once a week, and 63.8%(30) doing so less frequently.
2. 43.9%(23) use Omron Digital blood pressure monitors, 14.9%(7) use smartwatches, and 23.4(11) use manual cuffs. These are the most commonly used devices. 29.8(14) use other digital blood pressure monitors.
3. 44.7%(21) of the responders are dissatisfied with their monitoring routines, citing inconsistencies and reliability issues.
4. 23.4%(11) have experienced health issues related to high blood pressure, yet 44.7%(21) feel unprepared for sudden spikes, while 36.2%(17) are not sure they are prepared.
5. There is a strong interest of 95.7%(41) in AI-powered predictions and alerts for blood pressure spikes.
6. 53.2% prefer receiving notifications through mobile apps, 34%(16) for emails, 36.2% for text messages, and 29.8%(14) for smartwatch alerts.
7. 51.4(21) Users expect a balance of simple insights and detailed explanations from an AI-powered blood pressure monitoring feature.
Feedback
The research underscores individuals' diverse needs and preferences in monitoring their blood pressure. While some users maintain consistent routines, others face challenges with accuracy and reliability. There is significant interest in AI-driven alerts for potential blood pressure spikes, with a preference for receiving insights via mobile apps, emails, and smartwatch notifications.
These findings present an opportunity to develop an intelligent blood pressure monitoring solution that leverages real-time predictions and personalized preventive recommendations. By integrating user input with synchronized data from other health apps, this feature can enhance proactive blood pressure management and improve overall health outcomes.
Landing on the Solution
Based on our target users’ pain points, we knew we wanted to work on the following features for a solution called Omni:
- AI-Powered Insights & Summarization – Providing clear, personalized explanations of BP readings and trends to help users interpret their health data easily.
- AI-powered predictive Alerts – proactively notifying users of potential BP risks.
- Behavioral Nudges: Encouraging consistent monitoring through smart reminders.
- Seamless Data Synchronization & Entry – Automate BP reading sync with Omron devices and enable quick data entry via image recognition using AI to reduce manual effort.
- AI-powered user-friendly Data Visualization – Presenting BP trends and fluctuations in intuitive graphs and summaries for easier understanding.
- Healthcare Provider Integration – Allowing users to generate and share AI-summarized reports with doctors for more effective consultations.
- Voice-Enabled Assistant – Enabling hands-free interactions for quick access to BP trends, reminders, and insights.
- Accessibility & Usability Enhancements – Optimizing the app interface for seniors and less tech-savvy users with larger fonts, simplified navigation, and guided onboarding.
Explanation of Solution
After we showcased our prototype to the users again, we learned that:
- Clarity and Simplicity Matter – Users appreciated the AI-driven insights but requested even clearer explanations for BP readings with less medical jargon.
- Timely Nudges Improve Engagement—While behavioral nudges were effective, users preferred customizable reminders that fit their daily routines.
- Healthcare Integration Is Crucial – Many users wanted an easier way to share their BP reports with doctors, reinforcing the need for seamless provider integration.
- Voice and image Features Are Game Changers. Users loved the convenience of voice-enabled interactions and image recognition for quick data entry, but they requested improvements in accuracy and response speed.
- Data Visualization Should Be More Interactive – Users wanted to explore their BP trends dynamically, with options to filter data by periods or specific health factors.
User Flows/Mockups
One of the user flows for Omni is:
Wireframe
This is a screenshot of the landing page (Desktop view) and Omni Assistant (Chatbot) with Omni embedded in the features.
Prototype Website
This is a picture of the landing page (desktop view), and AI-chatbot of Omni.
Future Steps
This is what we learned from speaking to customers.
Through user feedback, we learned that while Omni’s AI-powered insights and predictive alerts are valuable, users want even more personalization and clarity. Many requested greater flexibility in setting reminders, deeper explanations for BP trends, and a more intuitive way to share data with their healthcare providers. Additionally, the voice-enabled assistant and image recognition features were well received, but users highlighted areas for improvement, such as faster response times and improved scanning accuracy.
Possible additional problems to address
- Customization & Personalization – Users want more control over their notifications, AI recommendations, and data visualization preferences.
- Doctor-Patient Connectivity – Enhancing real-time data sharing and physician feedback loops could improve health management.
- Better Context for AI Insights – Users need more context around AI-generated insights, including explanations of why a recommendation was made.
- Offline Functionality – Some users expressed interest in accessing basic features even without an internet connection.
Images - A graphic image for marketing purposes
Learnings
Product Manager Learnings:
Chinecherem Ironkwe Okwara
Co.Lab was a very interesting experience for me! Through building Omni, I gained key insights into AI product management, including:
- User-Centered Design is Key – Understanding pain points and iterating based on real user feedback helped shape a truly impactful AI assistant.
- Balancing Simplicity with Advanced AI – Users want AI-driven insights but also clear, digestible explanations—too much complexity can be overwhelming.
- Prototyping & Testing Matter – Creating user flows in Lucidchart, wireframes, and developing a no-code prototype allow for faster iterations and valuable feedback.
- AI Needs Clear Value Propositions – Features must provide tangible benefits to drive adoption.
- Collaboration is Crucial – Working with designers, engineers, and stakeholders will help refine the product vision and execution.
This journey has reinforced my passion for AI-driven innovation and product strategy. Excited for what’s next!
Designer Learnings:
Designer Learnings:
Jo Sturdivant
- Adapting to an Established Team: Joining the team in week 6 of 8 was challenging, as I had to quickly adapt to existing workflows, dynamics, and goals. This mirrors real-world situations where you often integrate into teams mid-project, and flexibility is essential.
- Work-Blocking for Efficiency: With only two weeks to complete the project, I learned the importance of a structured work-blocking system. This approach allowed me to manage my time effectively and meet deadlines under pressure.
- Making Data-Driven Design Decisions: Unlike my past projects, I had to rely on research conducted by others. This was a valuable experience in using pre-existing data to guide design decisions, helping me focus on the core insights without starting from scratch.
Developer Learnings:
Developer Learnings:
Vanady Beard
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As the back-end developer, I learned how important it is to create efficient and reliable systems that support the entire application. This experience also taught me the importance of optimising the database and ensuring the backend is scalable and easy to maintain.
Developer Learnings:
Stephen Asiedu
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As a back-end developer, I've come to understand the importance of being familiar with various database systems and modules. This knowledge enables me to build diverse applications and maintain versatility in my work. I've also learned that the responsibility for making the right choices rests on my shoulders, guided by my best judgement.
Developer Learnings:
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Developer Learnings:
Maurquise Williams
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- Process of Creating an MVP: Developing a Minimum Viable Product (MVP) taught me how to focus on delivering core functionalities balancing between essential features and avoiding scope creep.
- Collaboration in a Real-World Tech Setting: This experience taught me how to collaborate efficiently in a fast-paced tech environment, keeping the team aligned and productive, even while working remotely across time zones.
- Sharpening Critical Thinking and Problem-Solving Skills: This experience honed my ability to think critically and solve problems efficiently. By tackling challenges and finding quick solutions, I sharpened my decision-making and troubleshooting skills in a dynamic, real-world setting.
Developer Learnings:
Jeremiah Williams
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All in all this experience was very awesome I learned that in coding with others being transparent is key
Developers Learnings:
Justin Farley
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I learned how important communication is when working with a team. Communication provides understanding, advice, ideas, and much more. While working with the product team, I’ve found that communication keeps everything flowing smoothly. Working with a team also showed me that every member brings something different to the table and we all have to work together in order to align and meet our end goal.