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Data Collection for GROW Impact Evaluation Tender - 149111380

The WORLD BANK(WB) has issued a Tender notice for the procurement of a Data Collection for GROW Impact Evaluation Baseline Survey in the Uganda. This Tender notice was published on 14 Sep 2026 and is scheduled to close on 21 Sep 2026, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 149111380, while the tender notice number is 0002023583 and Registering on the platform.

Procurement Summary

Country: Uganda

Summary: Data Collection for GROW Impact Evaluation Baseline Survey

Deadline: 21 Sep 2026

Posting Date: 14 Sep 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 149111380

Document Ref. No.: 0002023583

Competition: ICB

Financier: World Bank (WB)

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

The WB research team is seeking to contract a survey firm to carry out the baseline survey for this impact evaluation. To support this evaluation, the IE team seeks to hire a qualified survey firm to implement recruitment and screening of eligible women entrepreneurs, administer the baseline survey, and support selected implementation activities for the formation and early facilitation of business networks. These activities are expected to be structured, time-bound, and implemented using protocols, scripts, and field materials provided or approved by the WB research team.The selected Firm will work under the GIL-s direct supervision and in close collaboration with the MGLSD and their service providers throughout all stages of planning, implementation, and data management. This Terms of Reference (TOR) is for assistance from a consultant (survey firm) in conducting activities for the baseline survey for this project. Interested firms should provide information demonstrating that they have the required qualifications and relevant experience to perform the service. The shortlisting criteria are: (i) skills in project management; (ii) capacity in field research, data management, and statistics, including brochures, description of similar assignments, experience in similar conditions, and availability of appropriate skills among staff; and (iii) strong quality assurance protocols, including interviewer supervision, logical validations, and back-checks.
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