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Jefferson County Public Schools·Kentucky

C/N for Digital Data Solutions for Monitoring & Evaluation of Instructional Systems #RFP-3181

Closes 6/2/2026$200k – $500kRequest for Proposal
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Description

This solicitation seeks a contractor to provide digital data solutions that support the monitoring and evaluation (M&E) of instructional systems. The work will involve designing, developing, and maintaining data collection, analytics, and reporting tools to assess the effectiveness of educational programs and instructional technologies. The contractor must have expertise in data architecture, software development, and M&E methodologies, and be able to deliver scalable, secure, and user‑friendly solutions that integrate with existing instructional platforms. • Deliver a comprehensive digital data platform for M&E of instructional systems. • Provide data analytics, dashboarding, and reporting capabilities tailored to educational stakeholders. • Ensure data security, compliance, and integration with existing learning management systems. • Offer ongoing support, training, and maintenance throughout the contract period. • Collaborate with the agency’s education and evaluation teams to define metrics and performance indicators.

Attached files

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

Key dates

Opened
5/7/2026
Closes
6/2/2026

Last updated

Details

Type
Request for Proposal
Industry
Consulting Services
NAICS
541511
Solicitation №
RFP 3181

Budget estimate

$200,000 – $500,000

Based on typical federal contracts for custom software and data‑analytics platforms in the education sector, a reasonable estimate ranges from a few hundred thousand dollars up to half a million. Factors influencing this range include the scope of data integration, the complexity of analytics required, the duration of support and maintenance, and any licensing or cloud‑hosting costs. A modest implementation might be around $200k, while a fully featured, enterprise‑scale solution could approach $500k.

AI estimate from the solicitation

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