Connected Fertility Tracking App

Clearblue's first FDA-approved mobile app

Clearblue (Health tech) | Product Designer | Sept 2016 - Sept 2017

Impact stats

First FDA-approved mobile app for Clearblue

200+ participants in clinical trials

Several users conceived using the product

P&G needed to design their first connected fertility tracking system - combining a physical ovulation test reader with a mobile app. The product required FDA approval as a Class II medical device, involving complex clinical validation, algorithm development with scientists, and strict privacy requirements for sensitive health data. The challenge was creating an intuitive user experience while meeting medical device regulations and maintaining scientific accuracy.

Challenge

Led end-to-end product design for both iOS and Android apps, collaborating with scientists to develop the fertility prediction algorithm through clinical trials. Designed the complete user journey from Bluetooth pairing to daily testing, fertility tracking, and cycle predictions.

My role

Key responsibilities

End-to-end product design for iOS and Android platforms

Collaborated with scientists on algorithm development and clinical trials

Participated in clinical trial with 200+ participants

Designed privacy-first architecture for sensitive health data

Created data visualization for fertility tracking and predictions

Traveled to Switzerland to present to P&G marketing team

Maintained consistency across year-long development cycle

Process

1. Understanding the Medical Context

Studied fertility science and ovulation prediction methods

Learned FDA Class II medical device requirements

Mapped user journey from purchase to conception goal

Interviewed women about fertility tracking experiences

2. Algorithm Development & Clinical Trials

Collaborated with scientists to translate complex algorithms into UI

Participated in clinical trial with 200+ women

Gathered feedback on testing instructions and result interpretation

Iterated based on real-world usage patterns

3. Cross-platform Design

Designed for both iOS and Android simultaneously

Created fertility wheel visualization showing cycle phases

Designed clear testing instructions and result screens

Built calendar view for tracking cycles over time

4. Privacy-First Architecture

Designed data handling for sensitive fertility information

Created secure Bluetooth pairing flow with physical device

Ensured HIPAA-compliant data storage and transmission

Built trust through transparent privacy controls

Solution

Fertility Wheel Visualisation

Created intuitive circular visualization showing cycle progression

Color-coded fertility levels (low, high, peak) with clear iconography

Made complex hormonal data accessible to all users

Real-time updates based on test results

Clear Testing Instructions

Daily notifications with specific testing guidance

"First urine after longest sleep" instructions

Visual feedback on when to test vs. when to wait

Countdown indicators showing days until next test

Bluetooth Device Integration

Seamless pairing flow between physical reader and app

Automatic result transmission eliminating manual entry errors

Clear visual feedback on connection status

Troubleshooting guidance for pairing issues

Calendar & Cycle Tracking

Historical view of past cycles for pattern identification

Ability to log intercourse timing for conception optimisation

Cycle comparison across months

Predictions based on personal cycle history

Scientific Accuracy with Accessibility

Translated complex LH surge detection into simple visuals

Provided educational content about fertility science

Made medical-grade predictions understandable

Maintained clinical accuracy while being user-friendly

Product Success

Achieved FDA Class II medical device approval

Successfully completed clinical trials with 200+ participants

Several women conceived using the product

Launched P&G's first connected fertility device

Design Impact

Created intuitive experience for medically complex product

Made fertility tracking accessible through clear visualization

Balanced scientific accuracy with user-friendly design

Established privacy-first patterns for health data

Learnings

Medical device design requires deep collaboration with scientists

Clinical trials provide invaluable real-world feedback

Privacy and trust are paramount for sensitive health data

Complex science can be made accessible through thoughtful design

Regulatory constraints drive better design decisions when embraced early

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