After work began
$81Knot to exceed

Ratifies up to $81,000 for FM3 Research to survey 1,000 Oakland parents on school enrollment

The district hired FM3 Research to run an online and phone survey, in English, Spanish, Chinese and Arabic, of 1,000 Oakland parents. About 750 are parents of current or planned OUSD students and 250 have children who do not attend OUSD schools. FM3 will present its findings to the Student Assignment Department. The work runs April 15 to June 30, 2026, and the Board is approving it after it began.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Action
New agreement
Category
Student health, support & family services
Term
Apr 15, 2026 – Jun 30, 2026
This vote
$81,000
Funding
6762 - Arts, Music, Instructional Material Block Grant
Resource / site
6762-907
Vendor no.
006493
Presented by
Chief Systems and Services Officer
File
26-1174 · agenda O.-1
Outcome
Adopted on the General Consent Report, Jun 3, 2026

Official text

Ratification by the Board of Education of a Services Agreement 2025-2026 by and between the District and FM3 Research, Berkeley, CA, for the latter to conduct, in English, Spanish, Chinese, and Arabic, District’s 2026 Enrollment Parent Research, a dual-mode (online and telephone) survey of 1,000 Oakland parents, aiming to reach 750 parents of currently enrolled students and/or parents who plan to enroll their children in OUSD, and 250 Oakland parents whose children do not attend OUSD schools, with presentation of findings to the District, via the Student Assignment Department, for the period of April 15, 2026 through June 30, 2026 in an amount not to exceed $81,000.00.

History

  1. Adopted on the General Consent Report

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.

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