Role: Lead Product Designer
Project Type: Dashboard application
Duration: 8 months
Team: Front and Back-end Developers, Data and Machine Learning Scientists, Public Health Clinicians
Link to Prototype

Launchpad is a geospatial search engine for planetary and human health, integrating satellites, environmental data, and epidemiological information in real time. It aims to be a platform for a new global pandemic system for threats such as COVID-19.


  • To design a dashboard integrating COVID-19 related models, visualizations, and resources providing users with real-time insights and data.


Understanding what’s at stake and the user’s needs & contexts
Why should we care?

Health insurance companies rely heavily on health and predictive analytics, and the healthcare analytics market is predicted to reach $53.65 billion by 2025, and the market size for predictive analytics market is forecasted to be $23.9 billion. More specifically, the geospatial analytics market is predicted to reach $134 billion by 2025.

The addressable market for the pandemic surveillance platform represents the union of these existing markets. There is also major potential for these markets to expand in response to future public health challenges such as epidemics, syndemics, and pandemics, which will impact health insurers, governments, non-profit organizations, and other entities who will deliver solutions and interventions in this space. The total addressable market for the pandemic surveillance solution and related technologies to be in the billions of dollars, due to the contributions and overlap of the mobile health, healthcare analytics, predictive analytics, and geospatial analytics markets.

The healthcare analytics market is predicted to reach $53.65 billion by 2025...major potential for these markets to expand in response to future public health challenges such as epidemics, syndemics, and pandemics

What should we offer?

Currently, there are no major commercial entities that are developing comparable technologies using the exposome, remote space sensing, deep-learning pipelines, and massively integrated data. While there are several health analytics companies that present geospatial health information (such as ESRI ArcGIS), none directly predict healthcare outcomes with these data.


Determining the problem and scoping down the challenge 

What was the problem?

The problem is organizing information that helps people understand the risk of place and use it as a tool for generative positive health outcomes.

Insurance, pharma, and digital health companies need a way to identify and assess the risk of a region to help inform their decisions on how to generate positive health outcomes for any community.

How should the user feel?

Since the user seeks information about COVID-19 related risk factors, they should feel a sense of trust, authority, and transparency in the product. Ultimately, the user should feel like they can rely on the product as a tool to generate decisions based on their specific use case. 

User Stories

Analysts at insurance companies need to identify regions with high PM2.5/asthma risk scores to help improve asthma outcomes by targeting educational programs in that region.

Physicians need to identify regions with high PM2.5/asthma risk scores/pediatric populations in order to recruit patients for asthma studies from that region.


Generating and testing potential solutions
Initial Prototype Audit

Upon starting the project, I annotated an existing prototype using a conventional heuristics and accessibility evaluation to assess the existing framework and features. 

Mapping a Better Solution

A site map of the proposed new version of Launchpad, with features added incrementally.


Prototyping the solution and investigating opportunities

Inspired by modern and familiar map styles seen on Google Earth, Patagonia, and the National Geographic, the product needed to have a prominent and clean map interface to tell a cohesive story, and a dedicated space for additional resources and data. The main challenge was designing for added complexity to an interface that needed to have clear hierarchy to remain effective, engaging, and clear to users across major breakpoints (desktop to mobile).


An example of the documentation process shared with developers and managers to get a detailed context of the product’s interaction design.



Key takeaways from user testing
Project Takeaways
We conducted several guerrilla testing sessions through Maze. The concept of Launchpad as an all-in-one pandemic search engine dashboard was exciting and seemed like a powerful tool for the majority of tested users. The overall visual design of the app was visually appealing and understandable, and the majority liked its interactive (non-static) nature.

Results from usability testing have directed us to design major features including an onboarding screen summarizing Launchpad’s main features, a dedicated vaccine distribution interface, including choice tooltips for transparency, and a nav bar for the sidebar for easier navigation.

Additionally, we were able to identify within the tested group, an even more nuanced level of use cases: the professional, the cautious planner, and the daily tracker, each with their own concerns and needs that weren’t obvious to us before.

The Professional

The Cautious Planner

The Daily Tracker
Technical knowledge and resources to help better guide their decisions (e.g. vaccine distribution), and the ability to aqcuire data for personal analysis

Wants to know how their day to day life will be affected by the pandemic, clear travel guidelines, and overall relief on knowing travel risk

A quick summary of a few choice locations, will likely check multiple times a week and will return to if they have a reason to keep track of a specific place