Survey Firm for Quantitative Endline Survey in Kenya
New Closes 10 Jul 2027 EDT (UTC-4)
Employers can close earlier.
This quantitative research study is the endline (follow-up) survey for the Mastercard Foundation project on evaluating the impact of digital tool integration on agricultural outcomes, youth employment, and gender inequality in Kenya's potato value chain. The study is designed as a cluster-randomized controlled trial (c-RCT) implemented in partnership with the Farm to Market Alliance (FtMA) Kenya. Farmer Service Centers (FSCs) in Nakuru and Nyandarua counties were assigned to a treatment group that received FtMA's Business Development and Coaching (BDEC) digital leadership training in 2025, a control group that did not receive the training, and a third group of FSCs previously trained through the BDEC program. A baseline survey was conducted in December 2024 with 140 FSCs and 1,532 farming households served by these FSCs. The endline survey will revisit the same FSCs and households to measure changes in economic status, agricultural practices including digital tool adoption and post-harvest management, labor practices, food consumption, and dietary diversity, as well as gender and youth differences in these areas. The main research questions for the study are:
How does the intensity of digital tools training impact the adoption of digital tools and literacy among Farmer Service Centers (FSCs), and what are the resulting changes in their capacity to support farmers effectively?
What are the measurable effects of digitally empowered FSCs on post-harvest management, crop yields, product quality, access to information and services for women farmers and, ultimately, socioeconomic outcomes such as increased income, job creation, and enhanced livelihoods within agricultural communities?
The selected firm will be responsible for coordinating and conducting a face-to-face quantitative endline survey of the FSCs and farming households interviewed at baseline in two counties in Kenya (Nakuru and Nyandarua). The quantitative survey will consist of (i) in-person interviews with men and women farmers interviewed at baseline (lasting about 90 minutes) among about 1,500 households, and (ii) in-person interviews with the agripreneurs among about 140 FSCs, both conducted via computer-assisted personal interviewing (CAPI). Fieldwork is expected to take place in November 2026, and all data should be collected by November 30, 2026. IFPRI will be solely responsible for the design of the quantitative survey instruments and will provide the baseline sample lists and tracking information (e.g., household and FSC identifiers, locations, and contact details) needed to relocate respondents. The work will be implemented in close collaboration with the FtMA Kenya country coordination team.
The activities of the survey implementer are detailed as follows:
Translate the survey instruments and interview guides into local languages (as needed).
Obtain or renew ethics clearance, research permits (e.g., NACOSTI), and/or other local approvals required for the endline data collection.
Obtain enough tablets for CAPI data collection.
Develop, test, and finalize the CAPI data entry programs that will be used to conduct the interviews in the field, including preloading baseline information (e.g., household and FSC identifiers, respondent names, and key roster information) to support respondent tracking and panel consistency.
With assistance from IFPRI, prepare the field implementation manual prior to enumerator training, including the protocol for tracking and re-interviewing baseline respondents. The field manual will be the basis for quality assurance of the data collection process.
Develop and implement a respondent tracking protocol, agreed with IFPRI, to maximize re-interview rates of baseline households and FSCs and minimize attrition. Baseline respondents should not be replaced without prior approval from IFPRI, and the reasons for any non-response (e.g., relocation, refusal, death, or household dissolution) should be systematically documented.
Organize the selection, hiring, and payment of enumerators to conduct the required data collection work. This will include hiring both male and female interviewers with the necessary language skills to ensure respondents for the individual interviews are matched on sex. Where possible, enumerators with experience in panel or follow-up surveys should be prioritized.
Facilitate and ensure the smooth operation of the enumerator training and survey pretest in collaboration with IFPRI staff. It is expected that there will be a 5-day training, followed by a 2-day pretest and debrief, for the quantitative surveys. Training and pretest should be completed in time for fieldwork to begin in early November 2026.
Develop a field schedule for the quantitative data collection teams that allows data collection to be completed by November 30, 2026, ahead of the December festive period, and provide regular status updates during fieldwork, including progress against the target sample and re-interview rates.
Develop spot- and back-check protocols and share these with IFPRI for feedback prior to the start of data collection.
Participate in weekly meetings with IFPRI throughout data collection.
Share the data generated from the spot and back-checks and additional data collection concerns with IFPRI in a timely manner so that issues can be promptly resolved.
Share the data generated from CAPI (in Stata format) with IFPRI during data collection, as and when the data is uploaded to the servers. These data will not be the cleaned data sets (except for variable and value labels, checking and correcting skip patterns, and formatting the data in long format as required), but the raw data sets as sent to the firm from their survey teams. Variable names and identifiers should be consistent with the baseline data.
Conduct data cleaning to ensure consistency and range-checks; share the error check do-files with IFPRI.
Provide responses to queries from IFPRI in relation to data cleaning (as needed).
Deliver cleaned data sets (in Stata format) from the approximately 1,500 households and 140 FSCs in long format, using the same unique identifiers as the baseline so that the endline data can be merged with the baseline data. The datasets should include translation of any open-ended questions from local languages to English if necessary.
Provide a brief report covering quantitative survey fieldwork, including re-interview and attrition rates by study group and county with reasons for non-response, as well as any issues related to data management and cleaning.
· Demonstrated experience conducting quantitative survey fieldwork in Kenya within the past 5 years.
Demonstrated experience implementing panel (follow-up) surveys, including tracking and re-interviewing baseline respondents and minimizing attrition.
Demonstrated experience conducting survey-related training.
Expert knowledge of local context and languages in the target areas.
Experience in building trust and good relations with village leaders, interviewees, and communities.
Strong program management skills.
Demonstrated experience in successfully coordinating large field teams and managing deliverables.
Excellent computer skills and experience using CAPI and statistical software packages.
Demonstrated experience with obtaining appropriate local ethics review and permits.
Familiarity with digital tools used in agriculture and their impact on farming practices.
Understanding of youth employment and gender dynamics in the agricultural sector.
Please upload a proposal outlining the approach (including the proposed approach to tracking baseline respondents), human resources, timing, and costs (including details of staff time, training of trainers, field data collection, overhead, etc.), along with CV/resume (including details of previous related experience) for individual(s) leading the work. We expect that the applicant will be a local survey firm able to handle a contract with IFPRI and source the required human resources to fulfil the scope of the work themselves.
**This requisition is only open to firms. Interested firms must submit/upload a cost-proposal with the application. **
**We are unable to respond to every applicant individually; only selected applicants will be contacted. **
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