Opportunity
Texas DIR/ESBD #784-26-2682-Repost
University of Houston-Downtown Solicits Cloud-Based Student Success and Mentoring Platform
Posted
July 07, 2026
Respond By
July 21, 2026
Identifier
784-26-2682-Repost
NAICS
541511, 541512, 541513
The University of Houston-Downtown (UHD) is seeking proposals for a cloud-based student success and mentoring software platform to enhance student engagement, retention, and overall success. - Government Buyer: - University of Houston-Downtown, Purchasing Department - Products/Services Requested: - Comprehensive SaaS platform for mentoring and student success - Must include automated mentor-mentee matching, integrated communication tools, robust reporting and analytics, assessment, and program management features - Required integration with university systems such as Slate CRM, Student Information Systems (SIS), and PeopleSoft Campus Solution - Must comply with FERPA and data privacy standards - Accessible via web and mobile - Implementation, onboarding, and training services for administrators, mentors, and mentees - Ongoing maintenance, platform enhancements, and technical support - Unique/Notable Requirements: - Solution must be scalable and support integration with existing university systems - Vendors must have at least five years of experience providing similar solutions to higher education institutions - Evaluation criteria emphasize platform functionality, implementation approach, effectiveness, integration capabilities, customer service, and pricing - State of Texas Subcontracting Plan required for proposals - No specific OEMs or vendors are named in the solicitation
Description
The University of Houston-Downtown is soliciting proposals for a cloud-based mentoring and student success software platform. The platform should support student engagement, belonging, persistence, retention, and overall student success initiatives. It must facilitate mentoring relationships through automated matching, communication, reporting, assessment, and program management tools. The solution should reduce administrative burden through automation and provide robust reporting, analytics, and assessment capabilities to support data-informed decision making and continuous program improvement.