From One Clinical Research App to a Scalable Open-Sourced Research Platform

As Principal Designer at Sage Bionetworks, I led the redesign of mPower—a digital study tool for Parkinson's research—aligning participant needs with scientific goals. I translated complex requirements into intuitive interfaces and evolved the app into an open-source, scalable platform reused globally across mobile, wearable, and voice-first experiences.

Company

Sage Bionetworks

Role

Principal Designer

Timeline

12 months

Results

0

Increase in study completion

0

Daily ask adherence, for duration of study

0

Studies using the new design system

Problem

mPower launched at Apple’s WWDC to massive hype—tens of thousands downloaded it in days. But within a month, daily retention dropped to 5%, crippling the research. Without sustained use, scientists couldn’t collect enough data to validate digital biomarkers like tremor or voice changes.

Daily retention dropped to 5% within a month.

The result: researchers couldn't collect enough data to validate digital biomarkers like tremor.

Graph showing steep drop-off in app usage after first few days for both control and Parkinson's users
Original mPower app screens showing minimal design with basic onboarding, activities list, and information screens

Original mPower app interface

The original experience prioritized scientific completeness over usability. Consent was legalistic. Tasks felt like chores. And there was little payoff for participants—just a dashboard with charts they didn’t understand. Despite strong interest from scientists and partnership with Apple, Sage needed a reboot: an experience people would actually return to.

Opportunity

Instead of patching flaws, I saw a chance to reimagine the experience from the ground up—putting participants first to build trust, reduce burden, and deliver high-quality data.

The goal was to design a research platform that:

  • • Engaged participants with clear, meaningful tasks
  • • Worked seamlessly across phone, wearable, and voice
  • • Gave scientists modular, reusable tools for future studies

Understanding the Problem

We spoke with 24 individuals living with Parkinson's, and the themes were clear: the app was confusing, the process was frustrating, and the experience felt one-sided.

Consent happened after the app was downloaded, which created an immediate barrier. Participants were thrown into long explanations without context, often stuck in loops of back-and-forth steps, unable to complete the process. One usability test participant got caught in a verification loop.

User testing session with Parkinson's patient using mPower app

"I have 30 years of data points in my head, but I can't really do anything with them."

— Participant 3

"Don't know if anyone wants to measure their decline."

— Participant 6

"I felt silly. I didn't scroll down to get started."

— Participant during onboarding test

"I'm trying too hard. I feel like a dufus."

— Participant navigating login flow

The app's tone and interactions lacked warmth and clarity. Email verification confused many users. Instructions were missed or misunderstood. Even minor friction—like not knowing where to tap—compounded the emotional fatigue of participating in a study about decline.

Original mPower app consent and onboarding flow showing multiple confusing steps including email verification, permissions setup, and various access requests

Original mPower consent flow with multiple friction points

This validated a core design principle: scientific rigor and empathy are not mutually exclusive. To succeed, the product needed to feel as supportive as it was structured.

My Approach

Designing for long-term engagement in digital health meant rethinking every layer—from participant trust to platform flexibility. I anchored the redesign around four pillars:

🧠Participant Reality as a Foundation

"You're asking me to give up my data and time, and I'm not sure what I get out of it."

Participants voiced emotional and cognitive hesitation. I reframed onboarding and consent as reciprocal—not extractive—adding clearer messaging, progress cues, and tone testing across age and identity groups.

Result: 50% reduction in onboarding drop-off

🧾Rebuild Consent and Onboarding

The original flow overwhelmed people with dense legal text upfront. We broke it into plain-language summaries with progressive disclosure and inline illustrations, making expectations transparent and manageable.

Result: Higher comprehension and completion—fewer support requests, and smoother handoff into first study task

🧩Modularize the Measurement Experience

Task flow was rigid and confusing—mixing surveys, voice prompts, and motion tests into a single, unbroken timeline. Participants felt lost.

We broke tasks into named, reusable modules with clear instructions and feedback. Co-design sessions shaped naming, cadence, and end states. Each module now stands alone, making it easier to pause and return.

Result: 7x increase in study completion

🌐Extend the Platform Beyond Phones

To support Apple Watch and voice-based tasks, I partnered with engineering on a device-aware design system: theming, illustration templates, fallbacks, and platform-integrated UX for sensors.

Result: 40% of participants stayed active for 30+ days; sensor tasks accounted for the majority of completions in later phases

Solution

1. Redesigning Consent as a Relationship

Many users went through multiple steps—including downloading the app—only to discover they weren't eligible for the study. This left them frustrated and discouraged.

Original mPower study website showing cluttered, text-heavy consent flow with multiple sections and overwhelming information architecture

Original study website with complex, overwhelming consent flow

To address this, we redesigned the consent flow and built a dedicated study website that clearly communicated the study's value upfront. Participants could review requirements, understand what to expect, and complete consent directly on the site—with a quick link to download the app only after confirming eligibility. This streamlined the experience and significantly reduced onboarding friction.

Redesigned mPower study website featuring clean, user-friendly design with clear sections for 'Your story', 'Help us understand', 'Telling your story', and 'Join the study' with engaging illustrations

Redesigned study website with streamlined, participant-friendly experience

Key enhancements included:

  • • Introducing the study team up front to create a human connection
  • • Using large-type, simplified language, and visual PDFs to improve comprehension
  • • Providing chat, email, and phone support to reduce participant isolation
  • • Building eligibility and comprehension checks into the experience to ensure informed enrollment

This consent model became a reusable pattern across later studies and set a precedent for scalable ethical UX in mobile research.

Desktop Consent Flow
Desktop consent overview page showing detailed study information with navigation and progress indicators

Consent overview with detailed study information

Desktop signature page for consent document with name input field and accept/disagree options

Digital signature and consent confirmation

Desktop onboarding overview showing step-by-step process with eligibility, consent, quiz, sign, and registration

Step-by-step onboarding process

Desktop registration confirmation page showing SMS link delivery notification

Registration confirmation and app download link

Mobile Consent Flow
Mobile screen showing what is involved in the study with detailed activity descriptions

Study requirements overview

Mobile consent screen showing data collection, storage and privacy information with security icon

Data privacy and security details

Mobile registration screen with phone number input and numeric keypad

Phone number registration

Mobile confirmation screen showing SMS link delivery with phone illustration

SMS confirmation and app download

2. Scalable Design System for Modular Health Measurements

Rather than designing individual screens per study, I created a scalable design system that supported themed, reusable modules—enabling consistency across clinical research apps while maintaining flexibility for diverse populations and study types.

This modular system—designed with tremor-friendly touch targets and passive interaction modes—became the design foundation for products like BP Lab and Heart Snapshot, and was eventually integrated into Apple's ResearchKit, enabling scalable deployment of research tasks to global study teams.

💡Core Measurement Modules

This modular system underpinned multiple digital phenotyping studies, drastically reducing design and development lift for future teams. Modules—ranging from physical-activity trackers and cognitive assessments to self-report surveys—were built as self-contained UX units, co-developed with researchers to ensure scientific validity and clinical rigor.

Below are a few examples of these modules:

  • Tremor tracking (e.g., hold-phone tests)

    The tremor test demonstrates the modular design approach: clear step-by-step guidance, accessible instructions with visual aids, and a streamlined user experience that reduces cognitive burden while collecting clinically valid tremor data.

    Tremor test introduction screen with hand holding phone illustration and Get Started button

    Test introduction

    Instructions screen showing person sitting with phone and Hold the phone still message

    Instructions

    Sit down instruction screen with chair illustration and Got a spot button

    Sit down

    Hold phone with left hand instruction with hand holding phone illustration

    Hold phone

    Active test screen showing 30-second countdown timer

    Test in progress (30s)

    Test progress screen showing 15 seconds remaining

    Test progress (15s)

    Test completion screen with Done message and Next button

    Test complete

  • Gait and balance (e.g., step cadence via motion sensors)

    The gait and balance test showcases another modular approach: clear setup instructions, audio guidance preparation, and seamless phone-based motion tracking that captures walking patterns for clinical analysis.

    Gait test introduction screen showing 30-second walk activity with requirements: pants with pockets, smooth surface, and comfortable shoes

    Test introduction

    Walking instruction screen for 30-second continuous walk

    Walking instructions

    Volume instruction screen showing hands holding phone with sound waves

    Volume setup

    Pants with front pockets instruction showing person wearing white shirt and dark pants with yellow arrow pointing to pocket

    Pants with pockets

    Phone placement instruction showing hands putting phone in pocket

    Phone placement

    Test completion screen showing Walk back and forth with Done button and walking silhouettes

    Test complete

🧱Design System Foundations

To ensure long-term reusability and inclusivity, I built a modular design system that later expanded to include assessment modules—such as a VO₂ max test via a chair-stand task and passive heart-rate variability monitoring through wearables—alongside cognitive activities and self-report surveys. I also embedded accessibility-first patterns, including high-contrast support, motion-sensitivity defaults, and voice narration hooks. The design system's core attributes included:

  • Cross-Platform UI Component Library

    I developed a single, cohesive set of UI elements—buttons, forms, navigation patterns, and feedback indicators—that adapt seamlessly across mobile apps, watch faces, and voice-input interfaces, ensuring consistency and accelerating cross-platform development.

    Small sample of Research Kit's Design System showing color palettes, component layouts, and UI elements

    Small sample of Research Kit's Design System

  • Brandable UI Themes & Adaptive, Inclusive Illustrations

    A unified theming framework and illustration library that lets clinical research organizations and pharmaceutical sponsors apply their own branding to the UI—and easily re-skin illustrations to represent diverse age groups, races, and abilities.

    Examples of theming and illustration variations showing diverse age groups and genders across different colored backgrounds and scenarios

    Ex. of theming and replacing illustrations by age and gender.

📱Mobile, Wearables & Hands-Free Optimization

I tailored layouts, touch targets, and interaction patterns to deliver a seamless experience across smartphones, smartwatches, and voice-driven, hands-free interfaces.

Smartwatch morning check-in screen with sun icon and phone proximity reminder

Morning check-in

Smartwatch blood pressure measurement screen with heart icon and begin button

BP measurement

Smartwatch next check-in reminder with lotus icon and countdown timer

Check-in reminder

Smartwatch stress meter showing mild stress level with 10-day average

Stress tracking

Smartwatch history view with line charts showing data trends over time

Data history

Smartwatch detailed history showing blood pressure readings with systolic and diastolic charts

Detailed metrics

Smartwatch guided breathing exercise screen with colorful pinwheel icon

Guided breathing

Outcomes

The redesign improved participant trust, reduced friction, and scaled across studies:

📈

increase in study completion

🧾

Consent drop-off reduced from 41% → 15%

🔁

Retention improved from 5% to sustained engagement across studies

🧩

3+ studies adopted the new design system

Strategic Impact

The modular design system accelerated research launches, broadened access, and shifted how clinical products are designed and deployed:

🧱

Multi-Study Foundation
Used in BP Lab, Heart Snapshot, and more—cut design time by 50–70%

🧬

Shift in Clinical UX Mindset
Prompted researchers to adopt participant-first, scalable design approaches across digital trials

🧑‍🤝‍🧑

Inclusive Framework
Theming, accessibility patterns, and demographic-sensitive visuals enabled broader reach across age, ability, and identity

🌍

Global Enablement
Adopted into Apple's ResearchKit—enabling worldwide deployment across partner institutions

🏆

Recognized for Innovation

  • Journey PRO: IXDA Interaction Awards Honorable Mention
  • BP Lab: Fast Company "Most Innovative in Health" Honoree

Why It Matters

This work transformed a failed app launch into the foundation of a global research platform. By addressing human needs—burden, clarity, dignity—we not only improved usability, but made science possible again.

Today, these tools power studies around the world, help pharmaceutical companies refine treatments, and drive product innovation in wearables. Because we didn't just fix an app—we fixed the relationship between people and research.