Medical Data Analytic for Scientific Research

Truveta is a health data platform that aggregates and analyzes patient data from various health systems across the United States.


I joined when the company was only a couple of months old. I was responsible for designing and building the product from the ground up. This involved:

  • Defining high-level product strategies in collaboration with the founders and targeted user groups.
  • Implementing detailed designs, working closely with software engineers and AI scientists on a daily basis.
  • Launching the first version of the product within 6 months.
  • Balancing user's needs, business requires & tech capability.

This comprehensive approach allowed me to shape the product from its earliest stages and ensure a successful launch within a tight timeframe.

3 new customers signed shortly after POC with the MVP and the company successfully raised the Series A funding.

Category
Data analytics
Healthcare
B2B
Startup
0-1
Platform
Company
Truveta
Role
Founding designer,
Director of design
Assignment
0-1, Launch 1st MVP
Time to ship MVP
6 months

"Truveta not only ensures consistency and transparency across different clinical concepts and outcomes, but also fundamentally lower the cost and increase the speed of research, enabling scientists to get to insights faster for saving more lives."

The Approach to Design & Launch the MVP

When I joined, the company's key business objective was to launch the MVP within 6 months to attract new customers and secure the next round of funding.

Understand User's Real Needs

To become a subject matter expert, I collaborated closely with the CPO and PM, conducting 6–10 user interviews weekly to deeply understand user needs and pain points, and shared insights with leadership to guide product strategy.

User's pain point

Low quality & dated data,
No standard for key terms,
Hard to collaborate,
Slow and expensive

Value proposition

Boost decision-making with accurate,
up-to-date data, standardized terms,
seamless collaboration,
and cost-efficient workflows.

Design principles

Keep it simple and intuit,
real-time access & accuracy,
be transparent and clear,
scalability & flexibility

Create User Journey & Define MVP Features

I collaborated with the Director of Product Management to lead a three-day design sprint with our team, focused on shaping MVP features. By the end of the first day, we had collectively mapped out the end-to-end user journey and prioritized the most essential features.

MVP Product Feature Flow Map: This map is designed based on the prioritized MVP features from the user journey outlined above.

Impact product strategy with user's insights

The key user insights we gathered had a profound impact on our product strategy, with the top four pain points identified becoming the cornerstone features of the platform.

Understand the product inside & out

I collaborated closely with our engineering stakeholders to understand technical capabilities and product architecture. This knowledge helped me communicate more effectively with the engineering team and make more informed design decisions.

* Below is the product architecture we collaboratively created to communicate our vision internally and to customers.

Featured Screens

Home page

Project overview

Users can view a project summary, including the description and contributors. If they want to create a study based on it, they can select the 'Clone Study' button, which will clone all code and definitions.

Project Dashboard

The dashboard is generated based on the population definition, offering high customization. Users can tailor it to their needs using the Population Editor in Python.

In the example below, it displays the peak of the Omicron variant using daily updated data. Users can select specific population segments and access relevant data quickly, enabling informed research decisions in no time.

Project Dashboard

Population Editor

Users can create population definitions in the customized Population Editor using pre-built Truveta Definitions (standard medical terms). An estimated population and demographics are generated for preview on the right side.

Through a cross-functional team design sprint, we developed four design concepts for the Population Editor. These concepts were evaluated to find the optimal balance between technical feasibility, user needs, and business goals.

Notebook Editor

Image Browser