CLINICAL TRIAL TRACKING

Data-Driven Trial Tracking for
Smarter GLP-1 Development

In a focused clinical trial tracking initiative, Roots Analysis assisted a GLP-1 drug developer to reach primary endpoints faster, mitigate risks and drive better patient adherence

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The Challenge

Translating Clinical Trial Data into Strategic Initiatives

Delayed clinical trial
information

The client had partial view on how its ongoing obesity and type 2 diabetes trials were progressing across regions and CRO partners. They relied on static spreadsheets and periodic slide updates, which obscured real-time data

Limited clarity of
competitive drug performances

While the client believed its late-stage GLP-1 program was on track, they lacked a structured view of how their candidate compared with peer GLP-1 and metabolic trials, resulting in difficulty to maintain a competitive edge

Lack of unified trial
tracking framework

Each function in the firm maintained its own trackers resulting in inconsistent data on trial status. This siloed approach limited proactive decision-making and hindered early-warning of recruitment or data-entry bottlenecks

The Roots Way

How Roots Helped?

Roots Analysis pitched for a clinical trial tracking initiative focused on tracking various trial parameters, identifying high-importance study protocols and linking these insights to clear operational and commercial decisions.

GLP-1-focused Clinical Trial Tracking: Our team designed a unified tracking framework that integrated data from clinical trial registries, internal clinical trial management system (CTMS) feeds, CRO reports and published GLP-1 studies to create a consistent trial-level and site-level view. The framework captured core attributes, such as phase, indication, target population (obesity, type 2 diabetes, cardiometabolic risk), treatment arms, endpoints, enrollment targets and geographic footprint for each active and planned study.

Defined Best-practice KPIs: As a next step, we standardized a set of actionable KPIs - including enrollment speed, site activation time, data-entry timeliness, protocol deviation rate and time-to-primary-endpoint and compared each KPI against usual trial standards. These metrics were translated to interactive dashboards and heat maps, allowing the client to quickly identify under-performing regions or sites and prioritize remediation plans.

Delivered Strategic Decisions: Based on the tracking data, the team also built scenario-based case studies, highlighting how alternative tactics would affect overall timelines and cost.

Change We Created

Results You Can Quantify & Impact
Our Clients Can Count On

20%

Trial Timeline Reduction

Within the first year of implementation, the client shortened time from patient enrollment to primary-endpoint readout across priority GLP-1 trials by approximately 20%, making informed decisions related to enrollment slow-downs and data-entry delays.

25%

Improved Patient Enrollment

Standardized KPIs and site-level benchmarking enabled clinical operations teams to concentrate resources on high-performing sites and refine screening criteria at under-performing ones, driving a 25% uplift in average monthly enrollment rates

15%

Optimized Trial Costs

By consolidating the tracker data, the client eliminated redundant reporting and redirected resources towards trials at highest risk of delay. These actions delivered an estimated 15–20% improvement in operational efficiency