RESPONSIVE DESIGN . PRODUCT DESIGN . RESEARCH

OVERVIEW

Helix is a 2026 preventative health platform designed sync user’s entire bio-stack—Continuous Glucose Monitors (CGM), smart rings, and smart watches — to move beyond passive tracking.The goal isn't just to show data; it’s to provide proactive, contextual coaching that helps users optimize their biology in real-time.‍

THE PROBLEM

Health apps today provide a wealth of data but not much insight. Current platforms like Apple Health and Whoop function as "data warehouses"—they collect metrics but leave the heavy lifting of interpretation to the user.

OUR SOLUTION

We addressed the "Siloed Data" problem by creating a unified Intelligence Layer that aggregates a user's entire bio-stack (CGM, Smart Rings, and Smart watches). By merging real-time physiological inputs with the user's lifestyle context, Helix provides Just-In-Time (JIT) Interventions, turning complex biological markers into simple, actionable coaching moments. Scroll through the interactive prototype below to get an idea of the product.

THE DISCOVERY

The first thing I did during the discovery phase was to conduct an audit of Health Metrics apps like Apple Health and Whoop. Our audit showed that current health apps provide plenty of raw data but fail to explain what it means. Users are left feeling confused and anxious because the apps use medical jargon instead of simple advice. These platforms act like a storage room for numbers rather than a tool that helps you make better daily choices.

Here are a few findings from our audit

Apps act like "data warehouses," showing long lists of numbers without telling the user which ones matter most right now.

Interfaces use medical jargon (like HRV or mg/dL) that makes regular users feel confused or anxious.

Users have to manually jump between different apps to try and connect the dots between their sleep, stress, and diet.

Apps like levels or Oura require users to constantly update their meals or tags which leads to abandonment.

Alerts are either too generic ("Time to stand!") or too aggressive (red "Spike" alerts on CGMs for normal physiological responses)

Biometrics is not synced with the user's lifestyle context.

USER PERSONA

Our core persona is Alex: High-functioning but physically stagnant engineering manager at Orbital. He walks from his desk to a conference room and back. He’s "always on" Workplace and Slack, leading to constant micro-stress from unread pings. Here is a breakdown of his persona:

EXPERIENCE MAP

Defining Alex’s persona gave us a clear understanding of his frustrations, but it didn't solve the timing of those frustrations. To identify exactly where Helix could provide the highest value, I mapped Alex’s biometric data against his daily work schedule at Orbital. This Experience Map allowed me to pinpoint 'The Cognitive Crash'—the specific window where his social battery depletes and his health metrics plummet—shifting our focus from general tracking to real-time intervention.

Mapping the user journey helped me uncover some of the opportunities or ideas that Helix could implement. For example, using passive signals like geofencing, voice decibels, screen time etc to gauge the user's stress levels and delivering micro-interventions during gaps in the user's high pressure schedule..

For the MVP, we picked three opportunities from the experience map and converted them into features.

1. The Morning Readiness Check (Before the commute).
2. The Mid-Day Metabolic Rescue (During the 2 PM slump).
3. The Evening Decompression (Transitioning to home).

The next step was to understand and define the user flow.

USER FLOW

WIREFRAMES

My initial research showed that users with multiple wearables (Oura, CGM, Whoop) suffer from 'Data Fragmentation.' I moved to wireframes with the goal of Sensor Fusion—consolidating disparate streams into a single, unified narrative.

The design challenge was to solve Data Fatigue. I iterated through several layouts to find the best way to bridge the gap between 'Raw Data' and 'Actionable Insight.' I ultimately chose a Unified Narrative structure, ensuring that the Bio-Stack feels like a cohesive health partner rather than a collection of disconnected sensors.

VISUAL DESIGN SYSTEM

To ensure design consistency and engineering handoff readiness, I architected a comprehensive design system built on a foundation of Figma Variables and Semantic Tokens. I began by defining a dynamic color palette—transitioning from raw hex codes to functional tokens—and a robust typographic scale tailored for data density. By leveraging Figma Modes, I seamlessly implemented a dual-theme strategy, allowing the interface to adapt between a high-contrast 'Morning/Night' dark mode and a high-clarity light mode. This systematic approach culminated in a library of reusable, variant-based components, ensuring that the complex 'Bio-Stack' visualizations remain cohesive and scalable across every touchpoint of the user journey.

FINAL SOLUTION

I turned a mess of confusing data from four different health apps into one simple, clear story. Instead of making the user jump between apps to check their sleep, heart rate, and blood sugar, I brought everything into a single timeline. This makes it easy for someone like Alex to see exactly how a late-night snack caused a bad night’s sleep and a stressful morning. By focusing on 'Coachable Moments,' the app doesn't just show numbers—it gives clear, bite-sized advice on how to fix your day before it even starts.

NEXT STEPS

To evolve this MVP, the next phase will focus on closed-loop validation, testing the prototype with high-performers to ensure the "Coachable Moments" actually drive behavioral change.