Danielle Beecham-Coello
Truth Layer
Case Study 01

Project Recruit

Generative field research inside hospital systems that turned an ignored product into a company-wide strategic pivot with a $13M impact

Role
Lead UX Researcher (IC)
Timeline
6 Weeks
Methods
Participatory Design
Dot Voting
Journey Mapping
Company
Viz.AI
A researcher at a microscope in a clinical lab while a colleague records notes

Viz.ai is an AI-powered clinical workflow platform known for real-time stroke detection. Viz Recruit was a clinical trial recruitment tool that was functional but suffered from low-engagement. As a result, it was largely amongst more successful products. A sizable infusion of sponsor funding created pressure to make the product more profitable.

Leadership needed to understand: what does this product need to be worth the investment?

The Challenge

TL;DR

What I did: Through co-design workshops, I mapped the end-to-end journey of clinical trial management. Our expert participants identified tasks related to reporting and data entry as the most friction-heavy steps in the journey.

How it delivered: I recommended the team invest in Electronic Health Record (EHR) integration infrastructure to automate some of the data entry and incentivize Research Coordinators to manage reporting through the Recruit app. This strategic investment tracked back to $13M ARR for the company.

Core Questions

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My Approach

I designed and facilitated two on-site participatory design workshops across two hospital systems — one a well-resourced academic hospital, the other a community hospital with limited research funding. This contrast let us understand the full spectrum of user needs.

16 clinicians and research coordinators mapped their end-to-end clinical trial workflow across all three phases (Planning, Enrollment, Reporting), surfacing pain points and workarounds. We layered backstage processes and system touchpoints onto their journeys to identify where Recruit could add value. Participants then voted on the most critical opportunity areas using dot voting, giving us a prioritized signal directly from the people doing the work.

The workshop had to accommodate busy clinical schedules — some participants could only commit to 15 minutes, so I structured it as a drop-in format where each person could build upon the existing journey map throughout the day.

Journey map of the clinical trial workflow built from sticky notes across a whiteboard
Insights

The Unifying Insight: EHR Integration

Recruit was laser-focused on the enrollment workflow, but the real pain lived in reporting workflow — all the data entry and manual tracking that consumed coordinators' time.

Three distinct pain points all converged on the same architectural need:

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All of these pain points could be addressed by investing in the architecture for EHR integration. Other products in the company's portfolio also had EHR integration on their radar, but there was no capital for the investment, so it remained a backlogged request.

However, with Recruit's sponsor investment, the opportunity presented itself to invest. Leadership had the confidence to pursue the innovation because the research showed that EHR integration would increase engagement in Recruit and satisfy its sponsor.

The investment in one product had a trickle-down effect for the entire product suite, and the research I conducted enabled that.

Impact and Milestones

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Behind-the-Scenes

I spent three weeks planning before the two-day workshops. My team. (a Product Manager and a Business Development Analyst) had never conducted structured research, so I trained them to co-facilitate.

Teaching is a big part of my process, and I was proud to watch my teammates go from overwhelmed on day 1 to confident and in control on day 2.

The workshops had to be flexible enough to accommodate vastly different hospital operations while consistent enough to compare outputs side-by-side.

By employing a drop-in structure, I ensured each participant could contribute meaningfully, even with limited time.

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