Feed the Future Rwanda Kungahara Wagura Amasoko is a five-year project working with and through the Government of Rwanda (GOR), the private sector, and associations to boost economic growth by increasing the country’s high-value agricultural exports such as coffee, tea, horticulture, spices and dairy products. Implemented by RTI International and its consortium of partners—JE Austin Associates (JAA), Dalberg Limited, LixCap, and Vanguard Economics—Kungahara Wagura Amasoko is co-creating solutions to support GOR’s on-going efforts to shift subsistence to commercia agriculture.

The project aims to facilitate $300 million in new investments in the sector; create 1,000 jobs along the targeted value chains through generating additional productive employment, and; increase household incomes by at least 50% while gainfully integrating women, youth and people with disabilities into high-value agri-export value chains.

Kungahara Wagura Amasoko is designed to address systemic challenges that are inhibiting Rwanda’s high-value agricultural export growth. By employing a market systems-based approach to facilitate change, the project hypothesizes that changes within and among these market actors will positively impact household-level farmers and producers within the agricultural VCs targeted in the Activity’s Zone of Influence (ZOI). This also means that household level actors (e.g., farmers, producers) are considered Feed the Future Rwanda Kungahara Wagura Amasoko‘s indirect beneficiaries, rather than direct project participants.

The purpose of the survey is to determine quantitatively the project’s indirect outcomes at the household level. The annual survey will quantitatively assess the socio-economic condition at the household level, specifically household income (the pool of income streams of each household member within the targeted VCs), and the level of accessibility to productive economic resources. The survey will measure the income changes for FY2022 at the household level and will be a reference for future targets and constitute the basis to measure the project performance in future years.

The study design, methodology and sample size will be discussed and agreed with the project team and with the implementing partners before the execution of the survey. The firm will use a quantitative household survey to measure the changes of the project’s key indicators guided by the household baseline survey GPS coordinates and the same data collection tool will be used. The indicators are listed in the table below

In addition, the firm will consider desk review of relevant project documents, geospatial mapping, and National Institute of Statistics of Rwanda data on household incomes within the Activity’s ZOI plus Nyagatare district to finalize the data collection approach.

Sample size:

Kungahara Wagura Amasoko team will work closely with the consulting firm to find out an estimated population under its interventions. To ensure that the sampled households interviewed for the annual survey are representative of the target, the total number of interviewed households sampled will be purposive and stratified by i) geographic focus (within the ZOI including disaggregation by urban, rural), ii) income/socio-economic group, and iii) targeted VCs. The firm will work jointly with the project to ensure the sample is representative of household members of ages 16 and above in targeted value chains in the ZOI:

·         East Province: Gatsibo, Kayonza, Ngoma, Bugesera and Nyagatare

·         Northern Province: Burera, Gakenke

·         Western Province: Rubavu, Nyabihu, Rutsiro, Ngororero, Karongi

·         Southern Province: Nyamagabe, Nyamasheke

Kungahara Wagura Amasoko MEL Advisor will guide the successful firm to launch the annual household survey with a selection of households from the targeted value chains: horticulture and spices (French beans, snow peas, passion fruit, mushrooms, chilies), tea (green tea and organic tea) and coffee, animal products (dairy, hides, and skins), and new growth value chains such as essential oils and stevia.

While the final sample will be determined with the project team, we anticipated that a confidence level of 95% and a margin of error of 5% are necessary to extrapolate the outcomes to the project’s targeted indirect beneficiaries. Using cluster-based sampling through optimal design, we estimate a sample of 28-30 households per district for an overall projected sample between 392 – 420. The final sample size will include a 15% attrition rate for an approximate sample of 451-483.  The exact sample size will be determined based on the size of population in the ZOI.

The following activities will be the responsibility of the successful applicant with the oversight, input, and guidance of the MEL Advisor.

·         Preparatory phase: Key documents of the project will be submitted to the firm together with draft questionnaires for the quantitative surveys. The Firm will:

o   Work with anchor firms recommended by Kungahara Wagura Amasoko team to determine the households they source from.

o   Complete a desk review of all relevant documentation

o   In collaboration with the MEL Advisor, prepare a work plan protocol

o   In collaboration with MEL Advisor finalize the methodology of the study, including but not limited to the finalization of the sample size across the selected ZOI + Nyagatare district and targeted value chains, with appropriate representation of women-headed households, and households with youth and people with disabilities participating in agricultural activities

o   In collaboration with MEL Advisor, support refinement of the survey instrument

o   Develop a training plan and training materials for enumerators incorporating the  data collection ethics

o   Develop and implement protocols for protecting enumerators and survey participants from transmission and spreading of COVID-19. At minimum, protocols will need to comply with RTI requirements and GoR COVID-19 regulations

o   Program the survey instrument into a mobile data collection platform and a proposition to do data coding and data entry to be validated the project team. (There will be no paper-based data collection)

·         Field work: Field work will take place in targeted value chains in the ZOI noted above. During the field work, and with the support of the project team the firm will:

o   Train data collectors: Including field testing of the questionnaire.

o   Pilot the data collection tool in one of Kungahara Wagura Amasoko districts.

o    Supervise data collection: Ensure high-quality assurance throughout data collection along with strong consideration ethics, including daily update reports of progress and rapid identification of issues with proposed solutions.

o   Supervise data entry.

·         Data analysis: In collaboration with the data collection team and the project team, the firm will:

o   Deliver the cleaned and the raw dataset in Excel, CSV format, including cleaning rules script file with detailed description of the cleaning steps taken.

·         Draft report:

Ø  Draft survey report; descriptive statistics summarizing the socio-demographic characteristics of subjects, mean (SD) or median (IQR) based on their normality distribution, frequency (percentage), comparison of means statistical tests and bivariate statistical analyses (e.g., correlations)

o   Integrate comments from the team into the report.

o   The consulting firm will address client feedback, if applicable

·         Final report: The final report will take into consideration comments from the project team and partners. The final report must include the following sections:

o   Executive summary

o    Introduction

o    Context (description of the project and the areas where it is implemented)

o    Objectives of the annual study

o    Methodology and limits to the methodology

o    Analysis of the main results (per indicator)

o   A summary of each indicator’s survey data

o   Conclusions and recommendation

Responsibilities of Kungahara Wagura Amasoko MEL team:

Ø  Seeking the introductory letter from NAEB that will be used by enumerators in the field

Ø  Supervise the training of enumerators to see if they are well trained on the tools and if they are familiar with the tools

Ø  Supervise the data collection pilot and the actual data collection on the field

The annual household survey study will take place during the month of September 2022. The firm will submit a work plan and specific dates will be agreed at the beginning of the consultancy.

Key qualifications required for the firm to conduct this assignment include demonstrated ability to;

·         Plan, manage and collect data ensuring quality and rigor in all data collection activities.

·         Recruit and manage the household survey team through the period of performance.

·         Train enumerators on data collection tools and use of mobile collection platform and GIS mapping and recording.

·         Provide enumerators with tablets and GIS mapping gadgets to be used during the data collection.

·         Collect data at household level, manage quality data input, provide daily updates on data collection within the zones of influence (see Sampling Section), and perform preliminary data cleaning and analysis.

A team leader with:

·         Advanced university degree (Master’s) in Social Sciences, Statistics or a directly related technical field(s),

·         5 years of demonstrated experience conducting agricultural household surveys at the national and/ or international levels, using electronic/mobile data collection.

·         Past experience in conducting assessments with Gender and Social Inclusion perspectives

·         Experience in all aspects of conducting surveys, including developing sampling strategies, training enumerators, programming instruments.

·         Demonstrated hands-on experience in a technical or supervisory/managerial capacity, cleaning data, and drafting reports.

A team of enumerators with:

·         Experience in data collection in districts and nationwide surveys (such as EICV, DHS, and similar household surveys)

·         Experience in quantitative data collection as well as data entry

·         Experience in using digital devices for data collection,

·         At least 3 years of relevant experience

·         Strong communication (written and spoken) skills in Kinyarwanda and English as well as interpersonal skills

·         Willingness to work in rural areas

·         GIS capabilities to track data collection locations

Deliverable 1

Work plan

Work Plan report detailing the household annual survey methodology and design, sample size determination and sampling techniques with gender and social inclusion lens, data collection methods, plan for programming data collection instruments, plan for training of enumerators and anticipated training materials, an approach to quality control/assurance, ethical considerations, and plan for preliminary data analysis and presentation. This should also highlight the expected deliverables..

The report should include the recommended COVID protocol to be applied during the survey.

Determine Kungahara Wagura Amasoko Population under its scope

·         Supported by Kungahara Wagura Amasoko team, the firm will Work with anchor firms to identify the households /producers they source from.

Report on training of enumerators and supervisors, including training materials and pre-testing and piloting of mobile data collection platform

1)       Report on household survey roll out including summary of daily reports and challenges within respective zones of influence

2)       Outline for annual Preliminary Report

1)       Raw and cleaned dataset in a CSV format, with cleaning script files

2)       Draft annual preliminary report

Final household annual survey Report, incorporating feedback from Feed the Future Rwanda Kungahara Wagura Amasoko team