486 Enhancing team collaboration through on-demand collaborative agreement training

Objectives/Goals: Collaborative agreements are vital for building strong partnerships, particularly during the formation of new research teams. To support team scientists during critical stages of team formation, we developed a flexible, on-demand eLearning module on collaborative agreements with examples and guidelines for developing tailored agreements. Methods/Study Population: The on-demand Collaborative Agreement module empowers learners to complete a full overview of collaborative agreement concepts or to directly access topics of interest within the module. Designed for real-time applications, it includes conversation prompts, downloadable templates, and example scenarios to guide team building and maintenance. To date, the module has been used by clinical and translational science trainees, early-career investigators, faculty participating in mentor training programs, and PIs of a multi-site research project. Early feedback has prompted the development of a consultative service to support teams in developing their own collaborative agreements after team members complete the module. Results/Anticipated Results: We are collecting data through pre- and post-training assessments embedded within the module. Post-assessment also invites respondents to share contact information for follow-up evaluation of their adoption. As of October 2025, we have collected 21 pre-assessment responses and 14 post-assessment responses. We anticipate gathering more data prior to Translational Science 2026. We will summarize assessment data focused on the tool’s effectiveness, learner’s intention to adopt collaborative agreements, and their confidence in building their own agreements. Additionally, we will provide feedback on the value of support services post-training for team implementation of collaborative agreements. Discussion/Significance of Impact: The just-in-time online tool facilitates the use of collaborative agreements for individual learners, teams, and between mentors and mentees. It supports effective collaboration by clarifying shared expectations. Feedback for the module will inform enhancements as well as future translational science workforce development eLearning projects.