Clinical Trial Patient Recruitment Event Feedback Form

Clinical trials are the backbone of medical advancement, but recruiting the right participants requires trust, transparency, and exceptional communication. This Clinical Trial Patient Recruitment Event Feedback Form helps research organizations, hospitals, and clinical research organizations (CROs) capture honest feedback from potential participants about their recruitment event experience.

Whether you're running in-person recruitment sessions, virtual information seminars, or community outreach events, understanding how clearly you've communicated study details, informed consent procedures, compensation terms, and safety protocols is critical to both ethical compliance and successful enrollment.

This Paperform template is designed specifically for clinical research teams who need to evaluate and improve their recruitment processes. It covers essential areas including study explanation clarity, the thoroughness of the informed consent discussion, transparency around compensation and time commitments, and how well safety protocols were communicated. The feedback helps identify gaps in communication, builds trust with potential participants, and ensures your recruitment practices align with Good Clinical Practice (GCP) guidelines.

Beyond simple data collection, Paperform's conditional logic allows you to ask follow-up questions based on specific responses, while Stepper can automate post-feedback workflows—like flagging concerning responses to your study coordinator, sending thank-you emails to attendees, or updating your CRM with participant interest levels. For organizations needing to track recruitment metrics across multiple sites or trials, Paperform integrates seamlessly with tools like Salesforce, HubSpot, Airtable, and Google Sheets.

With SOC 2 Type II compliance and robust security features, Paperform provides the professional, trustworthy platform clinical research teams need to gather sensitive feedback while maintaining the highest standards of data protection.