Our client, experts in personal and professional development coaching, developed a proprietary algorithm to detect shifts in mental performance. They envisioned a product that would deliver personalized coaching based on biometric data, such as heart rate variability (HRV) and motion context.
We designed a mobile app that leverages biometric data, like heart rate variability (HRV), to provide timely, actionable, AI-driven coaching for high-performance professionals. The app aims to enhance focus, manage stress, and support overall well-being.
Conducted discovery workshops with the client in collaboration with the Product Lead
Researched similar digital products for insights
Crafted user flows and wireframes
Collaborated closely with a UI designer to refine final visuals
Commonly used apps often track biometric data and offer performance insights, but they don't provide timely personalized coaching. Users get data, not direction.
By combining biometric data monitoring with journaling, we created a way to integrate generative AI into the experience. This allowed the AI to better understand user context and deliver more timely, personalized coaching.
I created a user journey to map the step-by-step experience, validate key screens, and define AI’s role in coaching. This guided MVP planning, ensured team alignment, and shaped the clickable prototype.
User Journey Map: First-time user exploring the app, from onboarding to receiving proactive coaching insights.
With limited user access, analyzing similar apps helped me identify common UX patterns for clarity, engagement, and personalization, ensuring alignment with user expectations and a more intuitive, proactive experience.
Reinforcing positive performance to boost motivation: Celebrate progress and small wins to keep users engaged and motivated.
Customizable alert frequency reduces fatigue: Reinforced importance of allowing users to set the pace of notifications helps avoid overwhelming them.
In-app metric explanations improve clarity: Products that explain data in context make it easier for users to interpret their performance.
Visible data freshness and manual sync build trust: Showing when the data was last updated, and allowing manual sync, add transparency and control.
Based on the validated user journey and insights from similar digital products, we defined design requirements and worked with the client to prioritize the high-impact features. Key priorities included biometric calibration during onboarding, a mental performance tracking dashboard, a conversational coach, and tailored push notifications.
I created wireframes for the app's main flows to visualize the AI and journaling integration, align on key interactions, and refine the experience based on client feedback before moving into high-fidelity designs.
Onboarding
Set up a personalized baseline score and interact with the AI coach from day one.
Mental Performance Tracking
Visualize their Mental Performance Score in real time and spot trends.
AI Coaching & Notifications
Receive alerts whenever the score peaks or dips significantly, along with personalized guidance to stabilize the score.
Reflection
Log daily context related to the dips and peaks, enabling the AI to deliver more personalized coaching, identify patterns and provide meaningful insights.
Onboarding process
Intake questionnaire for calculating mental performance baseline score
Notifications and prompts
Walkthrough exploration
The project concluded with 3 key outputs: final UI designs, a clickable high-fidelity prototype, and a technical feasibility report created by our engineering team.
Together, these deliverables allowed the client to test and pitch the concept internally and with stakeholders. Based on this work, they have now moved forward into the early stages of product development.
Brought the client’s vision to life by transforming an abstract concept into a high-fidelity, testable prototype.
Delivered a tangible asset that supported early validation, strengthened investor conversations, and helped developers estimate effort more accurately.
Work-arounds for limited user access
With limited user access, we leaned on competitor analysis, subject-matter experts' input, and weekly client reviews of wireframes to ekep design moving.
Quick feedback loops drive better designs
Frequent client meetings and design reviews helped us spot issues early, preventing rework further down the design process.