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City of Seattle·Washington

Seattle's App-Based Workers Research

Closes 7/20/2026$100k – $130kRequest for Proposal
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Description

The City of Seattle is seeking a consultant to conduct mixed methods research on app-based workers in Seattle, analyzing the impact of the App-Based Worker Minimum Payment Ordinance. The research should provide a comparison of working conditions before and after the implementation of the law, focusing on aspects such as transparency, worker behaviors, and pay structures. The consultant will be required to engage with workers from diverse backgrounds, including non-English speaking workers, and provide a final report and collected data to the City. Some key aspects of the research include: • Analyzing the effects of the ordinance on app-based workers' experiences • Examining workers' behaviors during uncompensated online time and how different apps and business models influence these behaviors • Investigating how app-based work fits into other needs and obligations in workers' lives • Comparing pay structures and earnings for workers on smaller network company platforms The consultant will be expected to complete the data collection processes by July 2027 and finish the data analysis and final reporting by October 2027.

Attached files

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

Contact

Shuxuan Zhou(Data Strategist)

[email protected]

(206) 684-8859

Key dates

Opened
5/20/2026
Questions due
7/6/2026
Pre-bid meeting
5/29/2026
Closes
7/20/2026
Projected award
9/1/2026
Duration
14 months

Last updated

Details

Type
Request for Proposal
Industry
Consulting Services
NAICS
541720
Solicitation №
2025-059

Budget estimate

$100,000 – $130,000

The budget for this opportunity is estimated to be around $130,000, as stated in the RFP. This estimate is based on the scope of work, which includes conducting mixed methods research, analyzing data, and providing a final report and collected data to the City. The budget may vary depending on the consultant's proposal and the City's negotiation.

AI estimate from the solicitation

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