image displaying Competitive Intelligence Dossier Screens

Duration:
16 weeks

Role:
‍Lead designer working with DM, devs, and associate designer

Tools:
‍Figma

Context:
‍Internal tool for multinational pharma company

Case Study Link:

External Link to Figma

10 to 15 years

This is the average time it takes to discover and manufacture a single pharmaceutical drug!

I was part of an ambitious project to create a digital tool that would help speed up this process.

To comply with my non-disclosure agreement, I have omitted and obfuscated confidential information in this case study. All information in this case study is my own and does not necessarily reflect the view of original stakeholder.

The challenge

Finding a Way to Reduce This Number

Given this is such a large number, it was easy to recognize that reducing the time it takes to discover and manufacture a pharmaceutical drug would greatly benefit the company's bottom line as well as those who are ill.

As such, our team came up with the following hypothesis in attempt to chip away at the problem:

Given this hypothesis, our high level goals were to:

Make it fast and easy to gather medical information and data.
Give scientists more control over their time and data.
Create a platform for medical advancement information and monitoring.

My Role

I led the design of the Competitive Intelligence Dashboard experience between January 2024 and May 2024 and collaborated with a delivery manager and 2 developers.

I stopped working on the project during the detailed visual design phase as the app started to be built.

The app was officially launched globally on an internal network in July of 2024.

Finding The North Star

Insights from Scientists

We interviewed subject matter experts to gather initial insights on the problem space and determine what to prioritize.

The identities of these scientists have been anonymized to ensure their privacy.

The results indicated scientists are using highly manual processes such as Google searches and Excel sheets to accumulate and store medical and pharmaceutical information.

Imagine having to do this for hundreds of drugs and disease.

Reframing the Problem

"...how might we help scientists gather information more quickly and empower them to make better decisions, faster?"

A highly manual process at scale can lead to frustration and wasted time.

This begged the question, how might we help scientists gather information more quickly and empower them to make better decisions?

Our proposal was the Competitive Intelligence Dashboard, a single platform to find, track, and analyze medical and pharmaceutical information.

The Solution

Introducing Competitive Intelligence Dashboard

In an age of overstimulation and mass information, the Competitive Intelligence Dashboard gives time back to scientists by making intelligence gathering fast, effortless, and organized.

Make a Request and We Do the Rest

Previously, scientists faced the difficulty of manually searching Google and medical databases to find clues on whether they should sell, acquire, or research a drug or disease area.

The Competitive Intelligence Dashboard saves scientists time by bringing the most relevant medical and pharmaceutical information to a single location for easy reviewing and analysis.

De-Risking the Flow

Though our decisions thus far had been grounded in evidence gathered from generative research, we feared the possibility of making the platform too difficult to parse due to the density of information displayed.

We began asking ourselves questions such as "do scientists have different expectations from the average consumer when it comes to scanning for information?"

Reach out if you're curious!

In order to de-risk some of our assumptions we spoke with scientists to test an early prototype of the designs. We asked them the following questions.

Does the platform...

The Result/Metrics

Giving Time Back to Scientists

To our surprise, not a single participant had trouble understanding how to navigate through the platform or what the information displayed was indicating. On average, we found that the time it takes scientists to investigate pharmaceutical data decreased by 34%. All three scientists we interviewed were happy with the outcome and were eager to suggest additional functionality that would further speed up their work.

For confidentiality reasons I have omitted the actual values for this metric.

Positive Impacts and Much More to do.

The Competitive Intelligence Dashboard has improved scientists' decision-making, but additional workflow pain points remain that can be addressed with new features.

The proof is in the pudding 🍮. Checkout the feedback I received!

10 to 15 years

Finding a Way to Reduce This Number

Insights from Scientists

Reframing the Problem

Introducing Competitive Intelligence Dashboard

Make a Request and We Do the Rest

Complex Search

Information Dashboard

De-Risking the Flow

Giving Time Back to Scientists

Positive Impacts and Much More to do.

Next Steps

Up Next