End-to-End with Truth layer

Viz.ai is a growth-stage health tech start-up building an enterprise suite of disease-detection algorithms. They were presented with an opportunity to partner with a Pharmaceutical sponsor to support patient recruitment for a new clinical trial.

Challenge
Innovating a legacy product

Company
Viz.ai

Solutions

Growth & Innovation

Contextual Inquiry

Impact
Cross-product innovation

Expanded customer segment

challenge

Viz developed a legacy product that supports clinical trial recruitment by identifying potential candidates using advanced algorithmic detection. When Viz secured a new contract with a Life Science partner to assist in the recruitment for their clinical trial, the legacy product was given an opportunity to innovate.

The sponsor anticipated that this collaboration would yield supplemental data derived from deep user engagement, enhancing the overall quality and effectiveness of the trial. In order to deliver on sponsor expectations and maximize the product’s impact the team focused on the following goals:

  • Clarify the end-to-end journey for clinical trials management

  • Increase user engagement

  • Build an effective product roadmap

solution

Growth and Innovation

The first step is to recruit a representative sample from the customer base. With such a large footprint and little time to execute, the sample had to be small but impactful, so the team selected hospital systems with research teams operating on opposite ends of the spectrum.

With a robust sample of stakeholders, the team held a series of journey mapping workshops to capture the end-to-end journey from all levels. This evolved into a service blueprint that mapped each phase of the process at all levels of action. With such a powerful knowledge visual tool, Truth Layer led the participants in the discussion to identify where Viz could have the most impact on their customers and generate the most profound engagement.

Contextual Inquiry

Viz wanted to improve the way their customers managed clinical trials and one of the best ways to understand the way customers complete tasks is to meet them in their environments. The team accompanied a member of the research team to their office and observed their workspace and what they did to complete one of their most important tasks.

The team noted how much the researchers relied on paper, and saw an opportunity to reduce time spent on transcription. This feature innovation had cross-product application and became a key focus for the company’s entire suite of products and it was first uncovered thanks to a few hours of contextual inquiry.

Impact

  • Successfully populated the product roadmap with both near and long-term milestones.

  • Kicked off a cross-product initiative to automate clinical data capture via Electronic Health Record (EHR) integration

  • Augmented the service delivery model by introducing a new site activation approach to onboard non-research, clinical staff

  • Furthered company-wide innovation by dovetailing a broader strategic initiative to leverage EHR Integration

    • Influenced the roadmaps for two major sponsored products representing approx. $45M in projected ARR 

    • This became a feature in a new marketing model for a comprehensive subscription package of all Viz products.