Which EDC system do clinical study teams prefer?

Insights from study team feedback.

Choosing the best Electronic Data Capture (EDC) system for clinical trials often comes down to one key factor: the experience of the study teams who use it every day.

Data managers and project managers from both CRO and sponsor teams interact with EDC platforms throughout the lifecycle of a clinical trial. Their feedback provides valuable insight into what makes an EDC system efficient, reliable, and easy to adopt.

In CRScube’s 2025 Study Team Net Promoter Score (NPS) survey, clinical professionals shared their experience using cubeCDMS, our EDC system. The results highlight what users value most in modern clinical data capture platforms.

What makes an EDC system one of the best for clinical trials?

When clinical teams evaluate EDC platforms, several key factors consistently influence their preference:

• Ease of use and intuitive interface

• Fast study build and configuration

• Advanced edit checks for data quality

• Real-time visibility of clinical trial data

• Reliable performance across global studies

• Responsive technical support

EDC systems that simplify workflows while maintaining data integrity tend to earn the strongest support from users.

This is why user satisfaction metrics such as Net Promoter Score (NPS) are often used to evaluate enterprise software like clinical trial platforms.

How do users rate cubeCDMS as an EDC system?

In the 2025 CRScube Study Team Survey, 406 clinical research professionals participated, including:

• Data Managers from CROs

• Project Managers and Clinical Research Managers from CROs

• Sponsor-side data management and clinical operations teams

The survey produced an overall Net Promoter Score of 78 for cubeCDMS.

In the SaaS industry, an NPS above 50 is considered excellent, and scores above 70 are typically described as “world-class.”

For enterprise clinical software such as EDC systems, where workflows are complex and adoption challenges are common, an NPS of 78 indicates very high user satisfaction and strong user advocacy.

Importantly, every user group surveyed reported an NPS above 75, suggesting broad approval across both operational and sponsor teams.

Why do study teams prefer cubeCDMS?

Feedback from study teams revealed several reasons why users recommend cubeCDMS as an EDC solution.

1. Intuitive interface for data managers

Data managers highlighted the platform’s clear interface and logical study configuration, which helps reduce the learning curve when setting up studies.

They also noted the value of:

• Advanced edit check functionality

• AI-assisted medical coding tools

• Efficient data validation workflows

These features help reduce manual effort while supporting high data quality standards.

2. Real-time oversight for project managers

Clinical project managers emphasized visibility and operational control as key advantages.

cubeCDMS enables teams to:

• Monitor study progress in real time

• Track enrolment and operational metrics

• Export datasets easily for downstream analysis

This level of transparency helps teams manage complex trials more efficiently.

3. Immediate usability for sponsors

Sponsor representatives often access EDC platforms without extensive training.

Many survey respondents reported they were able to navigate cubeCDMS immediately, thanks to its consistent layout and familiar workflows.

Sponsors also valued:

• Real-time access to clinical data

• Clear study dashboards

• Reliable performance across sites

For sponsor teams overseeing multiple studies, this usability can significantly reduce operational friction.

What do users want to improve in modern EDC systems?

Even highly rated EDC platforms must continue evolving.

Study teams shared constructive feedback that helps guide future improvements. Common suggestions included:

• Further performance optimization when handling large datasets

• Expanded analytics capabilities

• Additional reporting features such as query resolution tracking

• More customizable safety reporting outputs

These insights help shape ongoing product development and ensure the platform continues to align with the needs of modern clinical research teams. 

How should sponsors choose the best EDC platform?

When selecting an EDC system for clinical trials, sponsors and CROs should consider several practical criteria:

1. User experience: Can study teams adopt the system quickly?

2. Data management efficiency: Does the platform reduce manual cleaning and reconciliation?

3. Real-time visibility: Can teams monitor trial performance easily?

4. Integration capabilities: Does the EDC connect with safety, RTSM, or other clinical systems?

5. User satisfaction: Do existing users recommend the platform?

Solutions that perform well across these areas are more likely to deliver long-term operational value.

The role of user feedback in improving EDC platforms

At CRScube, feedback from clinical professionals plays a central role in how cubeCDMS evolves.

An NPS of 78 is not simply a performance metric – it reflects the trust of the study teams who rely on the platform to manage critical clinical data.

Their insights continue to guide improvements to cubeCDMS, helping ensure that the platform supports the real-world workflows of data managers, clinical operations teams, and sponsors.

Because ultimately, when clinical study teams can work more efficiently with their EDC system, clinical research itself moves faster and more reliably toward better patient outcomes.