TriNetX

Overview

Conducted generative research to understand where does the TriNetX platform deliver value today for its HCO partners and how it can more offer differentiated value than its competitors, and uncover the reason for the low adoption rate of its newly launched Linked feature.

Timeline

3 months

Research Activities

Project Scoping, User Interviews, Competitor Analysis, and Ideation

Team

UX Researcher (Me)

Product Manager

Research & Strategy Director

Brief

Objectives

  • Where does the TriNetX platform currently deliver value for its HCO partners and where it can offer more differentiated value?

  • What should TriNetX consider (e.g., positioning, product features, more “give and get”) to encourage existing customers to assign more access to TriNetX for the Linked product?

  • What should TriNetX consider (e.g., positioning, product features) to enable more Oncology Network growth with existing HCO customers?

Key Insights

  • HCO customers indicated positive sentiment and attitudes towards TriNetX and overall appreciate the access the platform provides.

  • Upon digging deeper, specific use case feedback revealed significant challenges and demonstrated an overall impression of ambivalence

  • Furthermore, HCOs perception of TriNetX is that its a “pharma company” built to serve that group – not the HCOs

Research Process

Competitor Analysis

Identified competitors in the market to compare and contrast the different capabilities provided by TriNetX.

While TrinetX was leading in a variety of therapeutic areas, the most evident gap was in clinical decision support, which most of its rivals already provided, presenting an opportunity for them to expand into.

Insights

Communication gaps create challenges to quantify and attribute impact

  • Trial feasibility decision makers are disconnected from the platform, resulting in a broken feedback loop

  • Communication is often disrupted due to lack of sponsor response

  • Lack of opportunity tracking means no way to follow opportunity outcomes

The platform is not intuitive, creating a barrier to entry for more engagement

  • HCOs do not have enough resources to train new users

  • Features and navigation within the platform are not obvious, difficult for users to learn on their own, decreasing platform engagement

Data handling complexities result in a cumbersome experience

  • Data ingestion is complex and time-consuming for some

  • Analytics capabilities are limited forcing HCOs out of the platform to leverage additional tools

  • Exporting data is time-consuming, requiring extra steps and manual tasks to format

For research and analysis, HCOs are reluctant to invest in additional data access without transparency

  • Data sharing remains a concern due to legal and privacy challenges

  • Data visibility by sponsors is a major concern for some research focused users

Accessing linked data sets is not a priority; additional data sets may be more attractive

  • Many alternative claims and mortality data sources exist

  • Other 3rd party data types are in high demand however

Ideation Session

Process –

Using ideation framework to think divergently, we rapidly generated wide-ranging ideas for every pain point. All the ideas were further clustered for similarity and brainstormed for details. We assessed all ideas for feasibility and mapped them in a 2x2 matrix to prioritize ideas based on impacts vs alignment with the roadmap. This helped us in finalizing a set of recommendations to improve TriNetX value proposition.

Workshop Participants -

  • UX Researchers

  • Product Managers (2)

  • Director of Product Development

  • Senior Vice President

Prioritized Recommendations

To improve the product and enhance the users experience, I provided strategic, actionable insights based on the research findings that address the research objectives.

By implementing these recommendations, TriNetX would -

  • Help demonstrate ROI to users

  • Help improve opportunity-to-site matching which benefits sponsors and HCOs

  • Reduces HCO burden to drive adoption and usage of platform

  • Expands Linked feature use cases and value to HCOs

  • Adds hard-to-obtain but highly desired data sets

  • Help users do common tasks easily

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