Study Feasibility

Use a data-driven approach to develop your protocol and choose the right regions and sites

Plan a Successful Study

Our design process brings technology and data together to facilitate better decision-making during clinical study feasibility. Use our tools to gain better insight about patient populations and site capabilities.

Improve Forecasts

Other recruitment companies base predictions on estimates or opinions. Our Feasibility Screening tools empower you to collect live data directly from study investigators. With more reliable data at your disposal, you can refine the study design as needed and develop more accurate timelines.

Speed Up Your Study

Use our data analysis tools to help assess site capabilities, uncover potential problem areas in your protocol, determine how many sites are needed for timely completion, and identify the best regions for your study to avoid costly delays in bringing products to market.

No IT Investment

Clariness saves you money with enhanced forecasting, but we’ll also spare you the investment in IT. Our experienced team will guide you through clinical study feasibility so you can hit the ground running.

Global Expertise

With established global and local expertise spanning more than 50+ countries and 35 languages, we bring a world of experience to your study planning.

Select the Right Sites

Data gathered via our site analysis and online patient surveys provides a market-focused approach for a better barometer of patient eligibility and site potential.

Fast Implementation

Using our proprietary system and process, our highly experienced team members are able to get your project up and running quickly.


Consult our team of experts before clinical study feasibility to find out how Clariness can help you avoid costly mistakes and map out a strategy for success.

The Process

Clariness has developed tools to predict investigator performance and understand the patient study population.

Information gathered includes:
  • Ability of site to conduct the study
  • Protocol complexity which can reduce enrollment
  • Real patient potential of a site