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University of Kansas·Kansas

Alumni Outcomes Analytics Platform RFP

Closes 8/14/2026$200k – $500kRequest for Proposal
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Description

The University of Kansas is seeking an alumni outcomes analytics platform to match institutional student records with data on their current employment or educational pursuits. The platform should be able to provide insights into the outcomes of KU alumni, and the university is looking for a vendor that can provide a comprehensive solution. The contract is for a period of 3 years, with optional annual renewals. The evaluation criteria will include the ability to meet requirements, outcomes achieved for clients, similarity of the firm's previous deployments, value to KU for the price proposed, and other criteria as deemed appropriate by KU. Key features and requirements of the platform include: • Ability to match institutional student records with data on their current employment or educational pursuits • Ability to provide insights into the outcomes of KU alumni • Similarity of the firm's previous deployments at clients akin to KU • Value to KU for the price proposed • Product Roadmap • Integration Capabilities • Contracting posture • Thoroughness, clarity, and compliance with the requirements of the proposal

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Luke Raynor(Procurement Representative)

[email protected]

Key dates

Opened
7/31/2026
Questions due
8/5/2026
Closes
8/14/2026
Projected award
10/30/2026
Duration
3 years

Last updated

Details

Type
Request for Proposal
Industry
Education
NAICS
511210
Solicitation №
3257809

Budget estimate

$200,000 – $500,000

The budget for this opportunity is estimated to be in the range of $200,000 to $500,000 per year, based on the scope of the project and the requirements of the platform. The university is seeking a comprehensive solution that can provide insights into the outcomes of its alumni, and the vendor will need to provide a platform that can handle large amounts of data and provide analytics and reporting capabilities. The estimated budget is based on the assumption that the vendor will need to provide a robust and scalable solution that can meet the university's requirements.

AI estimate from the solicitation

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