Project tracker for a major pharma, biotech, and medtech organization

Created a platform to help teams at a major innovation organization track and manage thousands of early-stage projects over their full lifecycle.

This project is under NDA

About the project

Goal

The team needed an interface to document and track thousands of early science ideas, sometimes for over a decade, and help select the few that can ultimately become successful and impactful products. I was responsible for developing high-level concepts, suggesting a new UX architecture, and high-resolution designs for this platform.

Client

This client is a large multinational pharmaceutical, biotechnology, and medical technologies. I worked for the department in charge of innovations. I collaborated with this company multiple times over the years. In this page, I focus on one of these projects.

Role

User research

Conceptual design

High-resolution design

Prototype building

Dataviz design

Date

Jun 2019 - Dec 2020

Phase 1

Research and conceptual design

We first conducted interviews with users who participated in or oversaw the validation and tracking workflow. The group included users from different countries to account for variations in how local teams conducted the process. We found that they were struggling with several issues: users responsible for entering each project’s data didn’t feel motivated to do so accurately or consistently; they were looking for insight into overall progress across projects but didn’t trust the data presented to them; all users struggled to get the big picture of how the innovation portfolio was progressing.

Phase 1

Research and conceptual design

We first conducted interviews with users who participated in or oversaw the validation and tracking workflow. The group included users from different countries to account for variations in how local teams conducted the process. We found that they were struggling with several issues: users responsible for entering each project’s data didn’t feel motivated to do so accurately or consistently; they were looking for insight into overall progress across projects but didn’t trust the data presented to them; all users struggled to get the big picture of how the innovation portfolio was progressing.

Phase 1

Research and conceptual design

We first conducted interviews with users who participated in or oversaw the validation and tracking workflow. The group included users from different countries to account for variations in how local teams conducted the process. We found that they were struggling with several issues: users responsible for entering each project’s data didn’t feel motivated to do so accurately or consistently; they were looking for insight into overall progress across projects but didn’t trust the data presented to them; all users struggled to get the big picture of how the innovation portfolio was progressing.

Phase 2

High-resolution design

Users needed an interface that would: help them visualize the overall mental model (a great number of poorly qualified opportunities turn into a smaller number of opportunities under assessment which in turn into an even much smaller of active projects); promote trust in the data by calling out the source of the information, allowing users to give feedback on the quality of the data, and making explicit assumptions behind key visualizations (e.g., why certain data points were excluded); and allow users to navigate more easily between high-level insights and granular details.

Phase 2

High-resolution design

Users needed an interface that would: help them visualize the overall mental model (a great number of poorly qualified opportunities turn into a smaller number of opportunities under assessment which in turn into an even much smaller of active projects); promote trust in the data by calling out the source of the information, allowing users to give feedback on the quality of the data, and making explicit assumptions behind key visualizations (e.g., why certain data points were excluded); and allow users to navigate more easily between high-level insights and granular details.

Phase 2

High-resolution design

Users needed an interface that would: help them visualize the overall mental model (a great number of poorly qualified opportunities turn into a smaller number of opportunities under assessment which in turn into an even much smaller of active projects); promote trust in the data by calling out the source of the information, allowing users to give feedback on the quality of the data, and making explicit assumptions behind key visualizations (e.g., why certain data points were excluded); and allow users to navigate more easily between high-level insights and granular details.

Project tracker for a major pharma, biotech, and medtech organization

Created a platform to help teams at a major innovation organization track and manage thousands of early-stage projects over their full lifecycle.

This project is under NDA