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Commercialization and De-Risking for Agricultural Transformation Project (Руанда - Тендер #63957752)


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Страна: Руанда (другие тендеры и закупки Руанда)
Организатор тендера: The World Bank
Номер конкурса: 63957752
Дата публикации: 18-05-2025
Источник тендера:


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Регистрация
NOTICE AT-A-GLANCE
  • Project ID

P171462

  • Project Title

Commercialization and De-Risking for Agricultural Transformation Project

  • Country

Rwanda

  • Notice No

OP00358016

  • Notice Type

Request for Expression of Interest

  • Notice Status

Published

  • Borrower Bid Reference

RW-RAB-470853-CS-CQS

  • Procurement Method

Consultant Qualification Selection

  • Language of Notice

English

  • Submission Deadline Date/Time

May 20, 2025 10:00

  • Published Date

May 16, 2025

  • CONTACT INFORMATION
  • Organization/Department

Rwanda Agriculture and Animal Resources Development Board

  • Name

Stephen Rwamulangwa

  • Address

P. O Box 5016 Kicukiro District, Rubilizi Kigali-Rwanda Email : infos@rab.gov.rw

  • City
  • Province/State

Rwanda

  • Postal Code
  • Country

Rwanda

  • Phone

+250788305780

  • Email

stephen.rwamulangwa@rab.gov.rw

  • Website

www.rab.gov.rw

Details

The Government of Rwanda has received financing from the International Development Association (IDA) toward the cost of the Commercialization and De-risking for Agricultural Transformation (CDAT) Project and intends to apply part of the proceeds for consulting services of Hiring a consultancy firm to carry out mid-Term review survey.

The Terms of Reference (TOR) related to this assignment are attached to this request for expressions of interest.

The Rwanda Agriculture and Animal Resources Development Board (RAB) / Commercialization and De-risking for Agricultural Transformation (CDAT) Project now invites eligible consulting firms (“Consultants”) to indicate their interest in providing the above Services. Interested Consultants should provide information demonstrating that they have the required qualifications and relevant experience to perform the Services. Expression of Interest (EOI) will include: core business and years in business, relevant experience, technical and managerial capability of the firm.

To be able to submit an expression of interest, International and National consulting firms who are not registered in E-procurement system, are advised to register themselves through www.umucyo.gov.rw

N.B.:

Submission of expression of interest via other channels than Umucyo E-Procurement System shall not be considered. In case of Joint-Venture, only the lead firm must submit the Expression of Interest, otherwise the EOI will be rejected.

The shortlisting criteria are:

The firm shall demonstrate prior experience in large household surveys and must have knowledge of local formalities and customs in the implementation of household surveys. Experience in agricultural data collection is preferred proven by certificates of good completion and signed contracts.

The shortlist will contain five (5) to eight (8) firms.

The attention of interested Consultants is drawn to Section III, paragraphs, 3.14, 3.15, and 3.16 of the World Bank’s “Procurement Regulations for IPF Borrowers” sixth Edition of February 2025 (“Procurement Regulations”), setting sixth the World Bank’s policy on conflict of interest.

Consultants may associate with other firms to enhance their qualifications, but should indicate clearly whether the association is in the form of a joint venture and/or a sub-consultancy. In the case of a joint venture, all the partners in the joint venture shall be jointly and severally liable for the entire contract, if selected.

A Consultant will be selected in accordance with the criteria set out in the Request for Proposals.

Expressions of interest must be delivered through e-procurement system on www.umucyo.gov.rw by the time indicated in the system.

TERMS OF REFERENCE FOR COMMERCIALIZATION AND DE-RISKING FOR AGRICULTURAL TRANSFORMATION (CDAT) PROJECT MIDTERM SURVEY

  • BACKGROUND AND PROJECT DESCRIPTION

The Government of Rwanda has received credit and grant from the International Development Association (IDA), Loan No: CREDIT A (Non-Concessional) NUMBER 7084-RW, CREDIT B (Concessional) NUMBER 7085-RW, GRANT NUMBER E017-RW and GRANT NUMBER TF0C5464 from Trust Fund Compact with Africa Green Businesses Multi-Donor Trust Fund to implement the Commercialization and De-Risking for Agricultural Transformation Project, and wants to use portion of proceeds to finance the Midterm Survey as part of Project Impact Evaluation.

CDAT project is having a national coverage and an integrated focus on promoting agri-food commercialization by expanding marketable volumes through increasing irrigated area, strengthening value chains, de-risking and facilitating access to finance for increased investments in production, postharvest handling and commercialization of agriculture products. These operations have been supporting the implementation of Rwanda’s recently concluded PSTA-4, which aimed to strengthen the capacity of the Ministry of Agriculture and Animal Resources (MINAGRI) to create an enabling environment that would encourage greater private sector investments and increased commercialization across Rwanda’s agriculture value chains and will continue to support the implementation of the Fifth Strategic Plan for Agriculture Transformation (PSTA 5) from 2024-2029, themed "Building resilient and sustainable agri-food systems."

The project has four components. Component 1 focuses on strengthening market and value chain linkages and improving land use efficiency for commercial production using a climate adaptation and mitigation lens. It is also building demand for financial services that can unlock investments to modernize and grow the agri-food sector. Component 2 addresses the supply-side of financial services for agriculture, by leveraging and deploying private sector capital and strengthening the provision of instruments to de-risk the sector. Component 3 covers project management. Component 4 allows for the rapid reallocation of uncommitted funds in the event of an eligible emergency.

The productive investments under the project are expected to benefit 235,977 households, cooperatives, and agribusiness firms or 11 percent of Rwanda’s 2.1 million farming households, cooperatives, and agribusiness firms. Agricultural finance provided through Participating Financial Institutions (PFIs) is expected to benefit approximately 2,232 beneficiaries over five years. Crop and livestock insurance is projected to cover about 575,000 and 75,000 farmers, respectively. About 82,000 hectares of arable land will benefit from project interventions, of which 13,023 ha will benefit from rehabilitated and new irrigation infrastructure. CDAT is aiming to provide new/improved land husbandry practices with climate resilient features for about 9,887 ha of land.

The development objectives of the CDAT are “to increase the use of irrigation and commercialization in supported value chains and access to finance among producers and agribusiness firms”. The Project development Objective performance indicators are the following;

  • Increase in cultivated area being irrigated in new and rehabilitated schemes (Percentage)
  • Increase in share of agricultural produce sold by participating producers (Percentage)
  • Increase in in value of agricultural production quantities procured by participating aggregators (Percentage)
  • Increase in number of borrowers obtaining agricultural loans from participating financial institutions (Percentage)
  • Share of credit line going to investments in climate smart agriculture (CSA) investments
  • Total number of benefitting households reached by the project (Number)

The project is implemented in all the districts countrywide.

  • MIDTERM SURVEY

2.1 Objective of the Midterm Survey

The general objective is to collect data to inform the midterm status of households in the areas targeted by the CDAT for irrigation, land husbandry, seed system, value chain development, agriculture financing, insurance and matching grant. The midterm survey will inform on the current progress of the project objective achievement vis a vis the targets and will then indicate which strategic changes and orientation to be included in the project implementation for the remaining period up to project closure that will lead to the smooth project implementation and attainment of project objective.

Specifically, the consultancy services is to undertake households’ data collection, analysis, interpretation and produce of a comprehensive Midterm Survey Report which will describe the status of households living in areas targeted by the Project. A survey will be done on the sample of residents as in Baseline Survey in the project targeted areas to measure their livelihood midterm status including; adoption of improved agricultural technology, agricultural production, agriculture produce commercialization, market linkage, access to finance, crop and livestock insurance, farm income, food loss index, women representation in decision making positions in participating WUAs, etc. Other off-farm enterprises and value addition businesses for selected value chains as a result of access to matching grant program will also be analysed to have the midterm values for corresponding indicators. For comparison purposes, a sample of farmers from control sites, comparable to those from sampled treatment sites will be interviewed to determine project’s attribution to observed positive changes and outcomes. Non-beneficiary sampled respondents will be from areas adjacent to all project treatment areas and the sampling strategy will be purposive sampling with the total control sample constituting ten (10) percent of treatment sample. This sample will be scattered to ensure that it is representative of the entire population. The consultancy services will review the current achievements in all project components and subcomponents and prepare a comprehensive report about the implementation progress which will inform the necessary adjustments that could be incorporated in the project implementation towards the achievement of the overall objective.

2.2 Data

The primary data to be collected for the midterm survey will come from comprehensive, multi-module household qualitative and quantitative surveys. The secondary data will come from the desk review of different documents and reports from participating government institutions (MINAGRI, RAB, NAEB, BRD, BDF etc.) and other stakeholders. To this extent, discussions with key guiding questions developed by the consultant and approved by the project team will be conducted with relevant project stakeholders. Consultations will also be done with local authorities, Government officials in Agriculture sector and farmers representatives to have relevant additional information and insights. This data will allow the project to compare the current progress of the project objective achievement in relation to the targets.

The data to be collected for modules related to extension services, irrigation, agriculture production, postharvest handling and marketing are from Season B 2024, Season C 2024 and Season A 2025.for selected marshland and hillside sites (treatment) as well as adjacent areas (control). Other data to be collected include but not limited to; farmer’s organizations, land husbandry activities, access to finance, agriculture insurance, matching grant, food security and beneficiary’s satisfaction with project interventions.

The data collected will help the project to report on the following indicators, which are part of the results framework and other social-economic indicators not included in the results framework, including education, employment and job creation, household incomes and expenditures, housing and living conditions etc, which will be agreed upon during the inception period and captured in the survey instrument:

  • Increase in cultivated area being irrigated in new and rehabilitated schemes (Percentage)
  • Increase in share of agricultural produce sold by participating producers (Percentage) for supported value chains; Rice, Maize, Beans, Cassava, Irish potatoes, Vegetables and Fruits.
  • Increase in value of agricultural production quantities procured by participating aggregators (Percentage) for supported value chains; Rice, Maize, Beans, Cassava, Irish potatoes, Vegetables and Fruits.
  • Increase in number of borrowers obtaining agricultural loans from participating financial institutions (Percentage)
  • Share of credit line going to investments in climate smart agriculture (CSA) investments (Percentage)
  • Total number of benefitting households reached by the project (Number)
  • Number of sub-projects benefitting from matching grants provided by the project (Number)
  • Increase in net value of produce aggregated to reach the market (Percentage) for supported value chains; Rice, Maize, Beans, Cassava, Irish potatoes, Vegetables and Fruits.
  • Area provided with new/improved irrigation services (Hectare)
  • Area provided with new/improved land husbandry practices with climate resilient features (Hectare)
  • Hectares of terrestrial and aquatic areas under enhanced conservation and management (Percentage)
  • Number of new innovative ideas, products & services supported through the Innovation Challenge Fund (Number)
  • Food loss index (as measured by change in post-harvest losses) (Percentage) for supported value chains; Rice, Maize, Beans, Cassava, Irish potatoes, Vegetables and Fruits.
  • Increase of women representation in decision making positions in participating WUAs. (Percentage)
  • People with enhanced resilience to climate risks (Number)
  • People using digitally enabled services (Number)
  • People benefitting from greater gender equality (Number)
  • Number of loans provided by FIs through the line of credit (Number)
  • Non-Performing Loan (NPL) ratio of the Credit Line portfolio of FIs (Percentage)
  • People and businesses using financial services (Number)
  • Hectares of crop insured (Hectare)
  • Area with verified climate smart agriculture activities under implementation (Hectares)
  • Number of insured dairy cows (Number)
  • Livestock under climate smart management (Number)
  • Value of financial protection (Total sum insured) provided to crop and livestock producers (Amount (USD))
  • Total number of insurance policies issued to farmers (Number)
  • Number of knowledge products (reports, briefs, studies, etc.) shared internally and among key stakeholders, partners and clients (Number)
  • Percentage of beneficiaries who expressed satisfaction with the project interventions, including on delivery and communication modalities (Percentage)
  • Percentage of grievances addressed within the time specified in the project implementation manual (Percentage)

Data collected will be disaggregated by sex wherever possible.

Follow up FGDs will be organized to collect qualitative information on the why of some disparities in numbers. Significant gender differences for example, or low uptake of a certain technology (irrigation, inputs, etc.), financial and insurance products, etc.

2.3. Supervision Team

Name

Title

CDAT Team

Stephen RWAMULANGWA

SPIU Coordinator/RAB-SPIU

Sarah NYIRAMUTANGWA

Cross-Cutting Program Manager

Ernest UZARIBARA

Project Manager/RAB-SPIU

Ezra MUTABARUKA

M&E Specialist/RAB-SPIU

BRD Team

Alexia TUYISENGE

Project Coordinator/BRD

Carine NISHIMWE

M&E Specialist/BRD

BDF Team

Vincent MUNYESHYAKA

CEO/BDF

Ms. Michel MUSONI

M&E Specialist/BDF

  • METHODOLOGY AND SCOPE OF WORK OF THIS CONSULTANCY

The terms of reference are for a survey that comprises of;

  • A household survey with total sample size of 1,620 households including 1,350 households from treatment areas and 270 households from control areas. The sample households from treatment areas are the households previously selected randomly during the baseline survey whereas households from control areas will be purposively sampled in all adjacent to project intervention areas. The survey firm will be expected reach at every household.
  • Structured interviews with sampled beneficiaries of Matching Grant, Credit Line and Innovation Challenge Fund. The sample size will be 10 percent of the total number of beneficiaries for Matching Grant (31) and Credit Line (97). Stratified random sampling will be used to cater for different beneficiary categories. However, where the beneficiaries are below the minimum percentage in a stratum, purposive sampling will be used. All 12 Innovation Challenge Fund beneficiaries in the first cohort will be interviewed. Six (6) Seed multipliers for the project supported value chains will also be interviewed.
  • Structured interviews for Cooperatives, SMEs, WUAs, FIs and Insurance Companies to collect qualitative information. The sample will be comprised of 5 cooperatives, 5 WUAs, 5 SMEs, 5 Financial Institutions per each province and all insurance companies providing agriculture insurance services countrywide.
  • Secondary data review to complement all the collected data with the comprehensive review of the existing reports and documentation from MINAGRI/RAB, National Institute of Statistics of Rwanda (NISR), National Agriculture Insurance Scheme (NAIS), BDF and BRD.

The survey population and households to be sampled are presented in the following table:

Sites

District

Total estimated HH

Sample size by treatment site

Replacement for treatment (10% of the sample)

Sample size by control site (20% of the sample

Cyohoha (Marsh and hillside)

Bugesera

28,784

186

19

37

Gashora hillside

Bugesera

4,980

32

3

6

Rurambi

Bugesera

6,225

40

4

8

Kajevuba

Gasabo

2,241

15

2

3

Rwangingo

Gatsibo-Nyagatare

4,980

32

3

6

Gatuna

Gicumbi

4,905

32

3

6

Kigaga

Gisagara

1,162

8

1

2

Nyakanyeri

Gisagara

1,411

9

1

2

Ruvugangoma

Gisagara

1,070

7

1

1

Nyabuyogera

Gisagara

2,714

18

2

4

Runukangoma

Huye

2,390

15

2

3

Karambi

Kayonza

6,640

43

4

9

Kageyo

Kayonza

17,430

113

11

23

Nasho

Kirehe

7,470

48

5

10

Bakokwe

Muhanga

7,802

51

5

10

Makera

Muhanga

2,075

13

1

3

Muvumba

Nyagatare

6,225

40

4

8

Kagitumba

Nyagatare

6,723

44

4

9

Cyabayaga

Nyagatare

6,299

41

4

8

Matimba

Nyagatare

747

5

1

1

Kibati

Nyamasheke

747

5

1

1

Kamiranzovu

Nyamasheke

1,784

12

1

2

Nyagahembe

Nyamasheke

996

6

1

1

Mugonero

Nyamasheke

1,245

8

1

2

Agasasa

Nyanza

4,980

32

3

6

Nyarubogo

Nyanza

3,735

24

2

5

Mwogo

Nyanza

10,084

65

7

13

Rubuyenge /Burakari

Nyanza-Ruhango

7,221

47

5

9

Base

Nyanza-Ruhango

3,336

22

2

4

Kanyegenyege

Nyza-Ruhango

3,286

21

2

4

Gipfuna

Nyaruguru

2,556

17

2

3

Agatorove

Nyaruguru

3,461

22

2

4

Kiryango

Ruhango

2,689

17

2

3

Nyirakiyange

Ruhango

2,453

16

2

3

Bugarama - Marshland

Rusizi

37,765

244

24

49

TOTAL

208,611

1,350

135

270

3.1 Duration

Timeline: The duration of the consultancy is 3 months (12 weeks) counted from the date of the contract signature.

3.2. Data collection procedures

Instrument: A multi-module household questionnaire will be provided by the project team. The focus of the questionnaire will be (i) plot level agricultural information (such as location of the plot, area cultivated, area under irrigation, area provided with comprehensive land husbandry technologies, production, yield, level of input use, the type of production techniques used, size and ownership of land etc.), (ii) market linkage and commercilaization, (iii) Access to finance, (iv) agriculture insurance, (v) access to matching grant program as well as (vi) household level welfare measures and other household characteristics (such as the level and sources of income, expenditure, education, gender, family size etc.). Capacity for GPS data collection is also required for locating households.

Electronic Data Collection: Interviewers will collect household data through face-to-face interviews using electronic questionnaires. The questionaire will be prepared by the project team and shall be uploaded in tablets by the consultancy firm using Open Data Kit (ODK). The firm must provide android devices on which data can be collected. The client will provide the necessary information for this to the survey firm.

  • EXPECTED ACTIVITIES

The survey firm will be responsible for the midterm data collection, analysis, interpretation and production of comprehensive midterm survey report. The major duties of the survey firm will include:

Activity 1: Validation of electronic questionnaire

  • Translate the questionnaire into Kinyarwanda and program the survey instrument into SurveyCTO
  • Confirm all skip codes, logic and consistency checks
  • Validate translations and provide any suggestions on content
  • Test the survey instrument in the field
  • Ensure that all data (variables and values) is correctly labeled (in English) when exported to Stata

Activity 2: Detailed Field Procedure Plan

The Field Procedure Plan will detail the following:

  • Composition of field teams: number of enumerators, supervisors, back checkers and field manager.
  • Responsibilities of each field team member, with checklists as appropriate;
  • Calendar of activities, including the expected time each team will spend in each enumeration area and the order in which enumeration areas will be covered;
  • Provisions for ensuring data quality, including procedures for addressing data inconsistencies/misreporting when identified;
  • Travel and lodging logistics;
  • Management information/reporting tools to track household interviews and to record if/why replacements were made to the original sampling list;
  • Procedures for field data backup and weekly submission to the midterm survey team;
  • Procedures for emergencies when it is not possible to collect data electronically (for instance when tablets are stolen, lost or damaged).
  • Detail the necessary protocols for dealing with and/or replacing households who refuse to participate or are unable to be located, and rules for household re-visits and substitutions;
  • Detail the necessary protocols to ensure selected households can participate in a follow-up survey as part of the requirements for the construction of a household panel dataset;
  • Supervision and spot check plans to ensure adherence to data collection protocols and confirm quality of electronic data collection.

The Field Procedure Plan must be submitted for comment and review to the CDAT team before the start of field work and revised accordingly. The Survey Firm must adhere as closely to the plan as conditions allow during survey implementation. As field conditions dictate significant changes to these plans, the Survey Firm’s Field Supervisors are obliged to inform the CDAT Team via the Survey Firm’s management, in form of a written report or progress report, and must receive written approval from the CDAT team before the change is implemented in the field.

Activity 3: Recruitment, training, piloting and contracting of experienced field staff

  • Compile a roster of enumerators who have experience conducting household surveys and agricultural knowledge. The roster, detailing qualifications, must be submitted to the project team and approved in advance of the training.
  • Train all enumerators, field supervisors, auditors/back-checkers and data managers on the administration of the questionnaires provided by the midterm survey team, in the presence of members of the research team.
  • The training should also serve as a screening process for skilled interviewers. To that end, more enumerators must be recruited than will ultimately be hired, and a transparent selection process developed and approved by the research team in advance of the training. The selection process must be submitted to the research team and approved in advance of the training.
  • The following components must be included in training:
  • Theoretical: Training should include a review of the theory of the questionnaire and each question in order to fully understand the objective of each question, using a paper version of the questionnaire. Standard quantitative interviewing techniques and field protocols should also be covered.
  • Technical: The theoretical training must be followed by technical training on how to use tablets in completing electronic questionnaires. This part of the training should be designed to familiarize enumerators with the interface as well as the functioning of the electronic version of the questionnaire.
  • Classroom practice: Training should include individual and group exercises to become familiar with the practice of asking and filling electronic questionnaires. This part of the training may include in-class demonstrations, where the questionnaire is projected and one interviewer completes the questionnaire in front of the classroom.
  • Field practice: After the theoretical and classroom practice, the interviewers should go to the field to administer the full questionnaire to a small number of households (outside the study sample). The pre-test should not focus on major adjustments to the questionnaire, but rather simulate the administration of the questionnaire under normal circumstances. All field team members must demonstrate that they clearly understand their roles and are correctly following the survey protocols. The data will be submitted to CDAT team for review.
  • Evaluation: Following the training, interviewers and supervisors should be evaluated based on their understanding of the questionnaire and their ability to correctly record data using the same test scenarios as used in the classroom practice. The training period should conclude only when the field teams have demonstrated mastery of the designated tasks. Decisions as to which field staff will take part in the data collection must be made on the basis of this evaluation.

Activity 4: Implementation of the household survey data collection

  • Develop a monitoring / information system to track questionnaires completed and replacements;
  • Provide to CDAT team every alternate day field logbooks detailing number of interviews completed
  • Share raw data and progress reports at a minimum of once weekly
  • Provide a final Field Report, submitted at the end of the data collection period, summarizing the fieldwork: challenges faced, modifications made to the Field Procedure Plan, and any other notable occurrences
  • Provide a survey report, which shows status of results for indicators shown above in the data subsection (2.2).

Activity 5: Back-checks

  • The firm must hire and train a separate team to re-visit surveyed households to conduct back-checks. The re-visited households must be selected using a random sample of not less than 10% of the interviews completed each week, totaling 10% of the household sample for each site.
  • The back-check questionnaire will be provided by CDAT. The back-check team must be highly qualified (better than average interviewer must).
  • The data from the back checks must be submitted to the research team weekly.
  • The firm will respond to discrepancies between the interviews in the following protocol:
  • Discrepancies <10% household is revisited; either the interview or the back checker is warned. After one warning, the next similar case will result in automatic dismissal.
  • Discrepancies >10% household is revisited; either the interviewer or the back checker is dismissed
  • If the household reports never being visited, the interviewer is immediately dismissed.

Activity 6: Correction of inconsistencies / outliers

  • The research team will review the data regularly and run consistency and quality checks. Any problems found in those checks must be resolved by clarifying with the household in question, by re-visiting or, if applicable, by phone.

Activity 7: Submission of final dataset

  • Final dataset must be submitted in un-encrypted Stata format with all variables and values labeled in English
  • Final dataset will correct any inconsistencies / outliers identified by the research team

Activity 8: Data analysis and reporting

  • Provide a comprehensive report on the midterm survey including the midterm values on each Indicator in the Result Framework (RF) and socio-economic indicators that shall be agreed upon with the Client not in the Results Framework (RF)
  • All interim and final reports should be submitted in English in both hard (2 copies) and soft copy.
  • DELIVERABLES

The expected deliverables from the midterm survey are the following:

  • Final Survey Questionnaire (paper based and programmed questionnaire)
  • Field Procedure Plan
  • Inception report
  • Daily field Progress Reports & Raw Data Delivery
  • Daily data submissions (interviews & back-checks)
  • Final Field Report
  • Final & corrected midterm dataset in un-encrypted Stata format with all variables and values labeled in English
  • Final & corrected midterm survey report
  • Required qualifications OF FIRM & PERSONNEL

The selected Survey Firm must possess the following qualifications:

  • Legal status recognized by the government of Rwanda enabling the firm to undertake a household survey.
  • Demonstrated prior experience in large household surveys, including at least three surveys of the similar magnitude within the last 5 years – the firm must have knowledge of local formalities and customs in the implementation of household surveys. Experience in agricultural data collection is preferred.
  • Demonstrated capacity and experience in planning and organizing survey logistics.
  • Access to a good network of experienced enumerators, supervisors and data managers; must provide a minimum of one full-time field manager and one full-time data manager; each field team must consist of a supervisor and interviewers.
  • Demonstrated capacity and experience for electronic data collection required
  • Demonstrated capacity for local translation of questionnaires and for refining a Computer-Assisted Personal Interviews (CAPI) survey instrument.
  • Demonstrated capacity to provide the necessary hardware required for electronic data collection such as iPad and tablets, as well as GPS devices.
  • Strong data quality control checks.
  • Demonstrated and strong capacity in data management; strong knowledge in STATA and SurveyCTO/ODK.
  • Strong references & feedback from three recently completed similar surveys in Rwanda, or Sub-Saharan Africa.

The firm team will be composed by 1 socio-economist for qualitative data analysis and reporting based in Kigali (also referred to as Team Leader) with regular field supervision trips; 1 programmer / data manager, 1 field manager responsible for coordinating all the 6 enumerator teams with each field team consisting of 4 enumerators and 1 supervisor. The team will also have 6 back-checkers who will work independently to insure a high level of data quality:

  • Socio-economist (1): Minimum Master degree in Social Sciences, Rural Development, Development Studies, Agriculture, Demography with experience in households’ surveys and or focus group discussions, fluent in Kinyarwanda and English. Must have report writing skills with proven experiences (3 surveys minimum).
  • Programmer / data manager (1): Minimum bachelor’s degree in statistics with minimum work experience (3 comprehensive household surveys) with strong level of computer literacy, expertise in programming electronic data collection software, especially Survey CTO and/or Open Data Kit, Knowledge of Stata or other data analysis software; Experience in programming at least one complex, multi-module household survey required; experience in programming agricultural surveys strongly preferred.
  • Field Manager (1): Minimum bachelor’s degree in agriculture with minimum work experience (3 comprehensive household surveys) with Experience in household surveys at a field supervisor level or above, fluency in Kinyarwanda and English is required; Willing to travel to any district in the country and to work in difficult conditions and excellent management and organizational skills
  • Supervisor (6): Minimum bachelor’s degree in agriculture with minimum work experience (3 comprehensive household surveys) with experience in conducting household surveys; experience as a supervisor on an agricultural household survey preferred; Fluency in Kinyarwanda and English; Willing to travel to any district in the country and to work in difficult conditions; Experience in managing others or in a leadership position
  • Enumerators (24) and back-checkers (6): must hold a high school diploma; university degree preferred with experience in conducting field research required; experience with agricultural household surveys preferred; Fluency in Kinyarwanda and English; Team player; Willing to travel to any district in the country and to work in difficult conditions
  • expected outputs and schedule of delivery

The expected outputs and schedule of delivery are presented in the following table:

No.

Activity

Output & sub-activities

Timeline

1

Piloting

Pilot dataset & pilot report electronic questionnaire

1st Week

1.1

Translation of questionnaire in Kinyarwanda

1st Week

1.2

Confirm all skip codes, logic and consistency checks

1st Week

1.3

Validate translations and provide any suggestions on content

1st Week

1.4

Test the survey instrument in the field

2nd Week

1.5

Ensure that all data (variables and values) is correctly labelled (in English) when exported to Stata

2nd Week

2

Field Procedure Planning

Field Procedure Plan

3rd Week

2.1

Composition of field teams: number of enumerators, supervisors, back checkers and field manager

3rd Week

2.2

Responsibilities of each field team member, with checklists as appropriate

3rd Week

2.3

Calendar of activities, including the expected time each team will spend in each enumeration area and the order in which enumeration areas will be covered

3rd Week

2.4

Travel and lodging logistics

3rd Week

2.5

Management information/reporting tools to track household interviews and to record if/why replacements were made to the original sampling list

3rd Week

2.6

Procedures for field data backup and weekly submission to the midterm evaluation team

3rd Week

2.7

Procedures for emergencies when it is not possible to collect data electronically (for instance when tablets are stolen, lost or damaged)

3rd Week

2.8

Detail the necessary protocols for dealing with and/or replacing households who refuse to participate or are unable to be located, and rules for household re-visits and substitutions

3rd Week

2.9

Detail the necessary protocols to ensure selected households can participate in a follow-up survey as part of the requirements for the construction of a household panel dataset

3rd Week

2.10

Supervision and spot check plans to ensure adherence to data collection protocols and confirm quality of electronic data collection

3rd Week

3

Training

Training

3rd to 4th Week

3.1

Final training curriculum and materials, including instrument to evaluate mastery of questionnaire

3rd Week

3.2

Roster of recruited field staff with their corresponding qualifications.

4th Week

3.3

Dataset from enumerator field practice

4th Week

3.4

Training of enumerators, back checkers and field supervisors

4th Week

4

Data collection

Data collection

5th to 8th Week

4.1

Daily field Progress Reports & Raw Data Delivery

5th to 8th Week

5

Back Checking

Back checking

5th to 8th Week

5.1

Daily data submissions (interviews & back-checks) _at the end of every week

5th to 8th Week

5.2

collect qualitative information on the why of some findings (unexpected findings especially), and disparities in numbers.

5th to 8th Week

6


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