RFP Title: Mozambique Mobile Access and Usage Study (MAUS)

THIS REQUEST FOR PROPOSAL (RFP) IS THE EXCLUSIVE, CONFIDENTIAL, PROPRIETARY PROPERTY OF FAMILY HEALTH INTERNATIONAL (FHI 360). IT MAY NOT BE COPIED, TRANSMITTED, OR DISCLOSED BY ANY MEANS WITHOUT THE EXPRESS WRITTEN CONSENT OF FHI 360. BY ACCEPTING A COPY HEREOF, RECIPIENT AGREES TO (I) BE BOUND BY THE TERMS AND CONDITIONS CONTAINED HEREIN (INCLUDING BUT NOT LIMITED TO THE CONFIDENTIALITY PROVISONS), (II) USE THE RFP (AND ANY RELATED DOCUMENTS) SOLEY FOR EVALUATION PURPOSES AND FOR RESPONDING TO THIS RFP, AND (III) RETURN OR DESTROY THE RFP (AND ANY RELATED DOCUMENTS) UPON FHI 360’S REQUEST OR UPON YOUR DECISION NOT TO RESPOND TO THIS RFP.

Request for Proposal (RFP)

RFP Title: Mozambique Mobile Access and Usage Study (MAUS) RFP #: 101023.020.001.015-01 Issued on: March 24, 2015 Issued by: mSTAR (Mobile Solutions Technical Assistance and Research) Questions on RFP Due: COB March 31, 2015 Answers to RFP Posted By: COB April 03, 2015 Proposal Submission: COB April 10, 2015 Revised proposal submission: COB April 17, 2015 Anticipated Award Date: May 2015

RFP RESPONSE INFORMATION

The key dates for this RFP process are shown below:

March 24, 2015 RFP released to potential subcontractors.

March 31, 2015 Submission of questions or requests for clarification in writing via email to Erica Buckingham at [email protected] and copy to Carrie Hasselback at [email protected] by 5 pm EST. Please note that inquiries and answers to inquiries will be shared with all applicants by posting to the web location of the RFP. Please do not contact any FHI 360 employees regarding this RFP. Contacting individual employees may be cause for disqualification. No Telephone Inquiries Will Be Answered.

April 03, 2015 Response to submitted questions posted.

April 10, 2015 April 17, 2015 Submission of proposal due by 5 pm EST via email to Erica Buckingham at [email protected] with a copy to Carrie Hasselback at [email protected]

May 2015 Anticipated award date, pending pre-award approval process

of 20 Table of Contents I. PURPOSE...... 3

II. mSTAR BACKGROUND...... 3

III. MAUS BACKGROUND...... 3

IV. MAUS DETAILS...... 4

1) Study Goals and Objectives...... 4

2) Methods...... 4

V. SOWs: SAMPLING AND DATA COLLECTION AND METHODS...... 7

1) SOW #1: CATI Survey...... 7

2) SOW #2: Household Survey...... 9

VI. STUDY MONITORING...... 10

VII. DATA MANAGEMENT, ANALYSIS, AND DISSEMINATION...... 10

1) Data Management...... 10

2) Data Analysis...... 11

3) Data Dissemination...... 12

VIII. HUMAN SUBJECTS...... 12

IX. DELIVERABLES...... 13

X. SUBMISSION REQUIREMENTS...... 16

XI. SELECTION CRITERIA...... 17

XII. CONTRACT MECHANISM...... 17

XIII. TERMS AND CONDITIONS...... 18

XIII. RFP ATTACHMENTS...... 20

of 20 I. PURPOSE Family Health International (or FHI 360), a non-profit organization based in Washington, D.C., is requesting technical and cost proposals for research services for a Mobile Usage and Access Survey in Mozambique in the provinces of Zambéezia, Nampula, Manica, Niassa and Tete. This RFP seeks proposals for two discrete SOWs. FHI 360 encourages firms to apply to one or both of the SOWs outlined in the RFP. FHI 360 reserves the right to select one bidder for both SOWs or to break-up the tasks among firms, according to submitted proposals’ measure against the selection criteria outlined in this RFP.

II. mSTAR BACKGROUND mSTAR is a strategic investment by USAID to advance mobile solutions and close the gaps that hold back access and uptake of mobile technology. The project supports broad-based coordinated action by a range of market stakeholders — including governments, donors, mobile service providers, and their customers. mSTAR is designed to initiate and support game-changing interventions to support digital finance, digital inclusion, and mobile data collection and dissemination.

III. MAUS BACKGROUND USAID is currently investing heavily in mobile programs, but these investments have been unfocused because there is a lack of basic and vital information about current mobile usage and trends. Without detailed, timely data, USAID and implementing partners have relied on old, incomplete information and assumptions. For example, it has been assumed that people who are illiterate, with less than a primary education, can’t send text messages. In the absence of information to tell us otherwise, USAID mobile programs have been designed for only literate populations, excluding those who are most in need, especially rural women. It turns out that the assumption that illiterate people do not text is wrong. We know this now because as a temporary fix, the Agriculture, Trade, and Business Office (ATB) added a few questions about mobiles to their Feed the Future (FtF) survey population based survey. Although small and done in only three provinces, we now know that 51.6% of people with phones who described themselves as illiterate reported sending text messages. And 53.9% of people with no education at all reported sending text messages. This one fascinating data point – which had never been captured before this survey – could change the way that mobile based programs are designed.

However, this insight also begs the question: what else are we missing that might have significant impacts on program design? Moreover, beyond USAID’s own projects, sharing this information with others can improve mobile programming across donors and government interventions, improving mobile programs and development impacts throughout Mozambique. Mozambique cannot leverage the full potential of mobiles without more information. Short Message Service (SMS) – i.e., text message - reminders are an inexpensive and powerful tool to deliver health messages, but barriers to access like network coverage, lack of electricity, and privacy issues affect potential success. Since there is no data currently around these barriers, USAID programs are learning these expensive and time-consuming lessons on the ground. A study supported by the Institute for Healthcare Optimization found that sending reminders to

of 20 people living with HIV helped them come to their appointments and take their medication – but only in urban and peri-urban areas. Other USAID partners believe rural patients failed to experience positive impacts because reception quality in the rural areas is weaker.

Additionally, it is currently unclear which geographic areas can effectively support mobile- enabled projects because there is not up-to-date data on mobile ownership, electricity and reception by province and district. Therefore, every mobile-based project either undertakes time- consuming and expensive formative work to understand mobile access and usage trends in their target area, or simply makes assumptions about ownership which often turn out to be wrong.

Further, there is no historical data to show how access and usage trends are shaped over time. The longitudinal component of the study will be conducted initially in two phases with an ultimate goal of the survey being picked up and funded by private sector actors for future implementation after the initial rounds. This will allow USAID to observe changes and trends over time which could have development implications but will also contribute to knowing whether interventions have been successful or not.

Collecting data on mobile usage will vastly increase USAID and its partners’ ability to harness the power of mobile technology to decrease poverty and help reach development goals.

IV. MAUS DETAILS

1) Study Goals and Objectives The Mobile Access and Usage Study (MAUS) will fill in knowledge gaps in mobile phone access and usage. The study will describe how Mozambicans are using mobile technology as well as detail key barriers to access and usage. The primary goal of the assessment is to generate detailed, reliable and timely data that will allow USAID to establish baselines and design projects that fully leverage the potential of mobile technology. The study will cut across technical areas and examine the foundational sets of behaviors, constraints, usage patterns and opportunities that mobile technology brings.

The study has six primary objectives: 1) To determine access to mobile phones & services in the study sites 2) To describe patterns of mobile phone usage 3) To identify the barriers to access to, and usage of, mobile phones & services 4) To measure changes in mobile phone usage, among active users, over time 5) To test the impact of SMS reminders and incentives (air credits) on CATI retention rates 2) Methods Overview: The MAUS will employ a multi-method design including both an observational and an experimental component. For the observational design component, a representative sample of households will be taken in 5 districts of Mozambique. For the experimental component, a cohort study of active mobile phone users will be enrolled, participate in a baseline survey, be randomly allocated to one of three treatment groups, and then interviewed again after four months. Time and resources permitting, a second follow up

of 20 interview will be administered. The cohort surveys will be computer-assisted telephone interviews (CATI). The ultimate goal of this study is to generate good quality data regarding mobile phone access and usage, as well as assess CATI procedures in the Mozambique context.

The study will be conducted in five provinces: Zambéezia, Nampula, Manica, Niassa and Tete, with an over-sample of districts in USAID’s Feed the Future program area. The study population will include primary groups, based on their mobile phone usage – active users, opportunistic users and non-users (described below).

Table 1: Data Collection Methods and Sample Characteristics Data Target Group Sample Type Sample Size Purpose Collection

Baseline - Describe patterns of Simple random n = 3000 mobile phone usage sample (600 x 5 provinces) (objective 2) CATI Sample frames Follow Up - Identify barriers to usage Domains: from mobile n = 3000 (objective 3) socio- network demographics, operators by 4 months after - Measure usage over time mobile  Active users province baseline (objective 4) phone/services access and Sub-set of FtF Modular application - Provide data for user usage, barriers farmer phone of survey questions profiles (objective 5) to usage samples and Movercado Sample randomized - To test the impact of SMS samples. into three groups reminders and incentives (n=1000 each) (free airtime) on CATI retention rates (obj. 6) - Describe and measure Household access to mobile phones & Survey services (objective 1) Domains: socio- 1500  Active users - Describe & measure demographics, patterns of mobile usage mobile  Opportunistic Simple random (n= 300 x 5 (objective 2) phone/services users sample provinces) access and - Identify barriers to access usage, barriers  Non-users & usage (objective 3) to access & usage, GPS - Provide data for user coordinates profiles (objective 5)

Study Setting: The study will be conducted in five provinces with an over sample of Feed the Future program districts. The five provinces are those in which donors are particularly invested and include Zambéezia, Nampula, Manica, Niassa, and Tete. In each, the provincial capital will be included as the urban district and a rural district will be selected in close consultation with USAID. Due to USAID’s investments in these areas, survey results will directly feed into programmatic designs and decision making, thus the emphasis and oversample of the following 23 districts:

of 20 Province Population (2012 Projection) District Population (2012 Projection) 1. Monapo 351,012 2. Meconta 178,468 3. Angoche 311,241 4. Moma 349,864 Nampula 4,647,841 5. Mogovolas 349,644 6. Murrupula 162,673 7. Nampula 253,294 8. Mecuburi 175,846 9. Malema 185,839 10. Gile 188,726 11. Alto Molocue 332,775 Zambéezia 4,444,204 12. Gurué 363,959 13. Mocuba 355,299 14. Nicoadala 250,182 15. Macanga 163,149 Tete 2,228,527 16. Angonia 348,989 17. Tsangano 205,100 18. Barué 188,444 19. Manica 257,419 20. Gondola 310,429 Manica 1,735,351 21. Chimoio 285,716 22. Sussudenga 152,646 23. Mossourize 246,225 24. Cidade de 186,490 Lichinga 25. Lichinga 114,024 Niassa 1,472,387 26. Cuamba 222,800 27. Majune 35,248 28. Marrupa 63,078 29. Mecanhelas 219,183 Total 14,528,310 6,807,762

Target Population: In the household survey, we have three target populations, all aged 14 or older: active phone users, opportunistic phone users and non-users aged 14 and older. Fourteen is the age at which one can open a mobile money account, therefore, we assume this is the appropriate age for beginning to actively engage in multiple functions of mobile phones. However, we will not directly interview adolescents; instead, we will ask an adult in the household about adolescent phone use and therefore, our population includes adolescents aged 14-18.

For this study we define the three groups of mobile phone users as follows: 1. Active Users – individuals who have access to a phone daily (including those who own a phone) AND have used a phone in the past 30 days, for calling and/or for SMS. 2. Opportunistic Users – individuals who do not have access to a phone daily but who have used a phone in the past 30 days.

of 20 3. Non Users – individuals who do not have access to a phone whenever they want AND have not used a phone in the past 30 days.

For the cohort study, our target population is active phone users aged 14 and older.

V. SOWs: SAMPLING AND DATA COLLECTION AND METHODS The MAUS is divided into two distinct Scopes of Work (SOWs). Bidders should carefully review each of the SOWs outlined below and place bids according to their organizational capabilities, past experience, and strengths. Organizations can submit proposals for one or both SOWs in this RFP. Awards will be made to one organization that can best complete both SOWs or to two different organizations, one to perform each separate SOW. 1) SOW #1: CATI Survey A sampling frame of mobile phone numbers in the five provinces will be generated by combining (presumed) active mobile phone number samples from three mobile operators, a subset of FtF farmers, and Movercado participants.

We will use CATI to interview 3000 active phone users at baseline to document their usage patterns (objective 2), including barriers to usage of various services (objective 4). A sample size of 3000 will result in a 95% CI, for the purposes of inferring findings from the CATI sample to the larger active user population across the five provinces. Generalizing to the provincial level, the sample size (600 per province) will provide a 95% CI.

Little is known about how much SMS follow ups and/or free minutes affect retention in a context such as MAUS. We will, therefore, empirically test these relationships using a randomized controlled design (objective 6). After the first CATI round, the 3000 CATI respondents will be randomly allocated into 3 arms of 1000 participants each. The first arm will receive no SMS notifications and will not be contacted by the survey team until the second CATI, four months later (Control Group). The second arm will receive weekly SMS notifications, but will NOT receive an incentive with the SMS (Treatment Group 1). The third arm will receive weekly SMS notifications AND an accompanying incentive in the form of phone credit (Treatment Group 2). The SMS notifications will be a push/pull mechanism that requests an SMS response from the survey participants (at no charge to them). For both treatment groups, SMS messages will be sent to participants on a weekly basis (Figure 2).

The data agency will make up to three attempts to reach a phone number on different days and at different times of day. If after those attempts no response is received, the number will be marked as invalid.

of 20 Figure 2: CATI Design

CATI interviews will be administered from call centers within Mozambique directly to respondents’ mobile phones. All participants will need to verbally confirm that they are at least 14 years of age.

CATI surveys will include the following domains: o Socio-demographics o Frequency of mobile phone usage o Mobile phone service usage (e.g. calling, texting, mobile money, program subscriptions) o Barriers to usage of mobile phone services

The survey content and process will be pre-tested among a sample of 40 active users (eight per province) and revised as necessary. We anticipate that the CATI survey will take approximately 20 minutes to complete. Each CATI event will consist of a core module (5-10 minutes) and additional modules (~ 5 minutes each), as desired. Modules may include the following: general use, demand, content, privacy, gender, social networks, attitudes, reception, and mobile money.

At least one follow up CATI will be administered approximately 3-6 months after the baseline CATI. A second follow up CATI will be administered 3-4 months after the first follow up, contingent upon the availability of time and resources (Figure 1). The same data collection processes and core instrument will be used. The follow-up CATI instrument(s) will likely contain distinct modules – in addition to the core instrument – to create a more diverse and comprehensive dataset over time.

of 20 2) SOW #2: Household Survey A face-to-face survey will be administered at the household level to: determine mobile phone access (objective 2) and usage (objective 3) in the study area, and to identify barriers to mobile phone/services uptake (objective 4). A simple random sample will be drawn from the sampling frame used for the 2011 DHS. Primary sampling units (households) will be selected remotely, prior to arrival in the field. Data collectors will make up to three attempts to contact a household. If the third attempt is unsuccessful, substitution will be permitted, with substitutes pre-selected.

Once a household is selected, interviewers will conduct a survey with an individual: 1) currently living in the household, and 2) 18+ years of age. If more than one eligible person is at home during the time of the interview, interviewers will select the individual whose birthday is the most proximate in the upcoming year, relative to the time of the survey.

We will sample 1500 households (300 per each of the five provinces). A sample of 1500 will allow us to infer findings to the larger population across the five provinces with 95% confidence interval.

Responses to the household survey will be entered on a mobile device. Data collectors will also have GPS devices to map interviewed households. The specific device and system to be used will be chosen after consultation with FHI 360’s Tech Lab and the contracted survey company. Choice of device and software will consider security, usability, and cost. All mobile data collection devices will be password protected to limit access in the event that the phone is lost or stolen. By using mobile devices, data may be uploaded immediately, or when convenient, through a secure server environment which can only be accessed by study staff.

Household surveys will include the following domains:  Household characteristics  GPS coordinates  Socio-demographics of each household member  Mobile phone access and usage  Mobile phone service access and usage (e.g. calling, texting, mobile money)  Barriers to mobile phone access

The survey content and process will be pre-tested among a sample of 25 households (five per province) and revised as necessary.

The household survey process will be organized using a regional team approach. The number of concurrent field teams will be determined by the sampling and logistical plan, but we expect multiple concurrent teams to be in the field in the five provinces, to facilitate the rapid collection of field data. Each team of enumerators within a province will be supervised by a field manager. The exact configuration of field teams, however, will be decided jointly by the contracted survey company and FHI 360.

Local data collectors and field managers will undergo in-person training from FHI 360 staff with respect to the study design, sampling, data collection and entry, and data analysis. The

of 20 duration and intensity of the training will depend on the skill level of the field staff that is hired.

VI. STUDY MONITORING Note: This section of the RFP on Study Monitoring applies to both SOWs.

FHI 360 will contract with up to two local data collection agencies to implement this study. FHI 360 will be responsible for overall study management, developing the protocol and paper data collection forms, reviewing data and the final report. The contracted agency(s) will be responsible for hiring, training and supervising data collectors, translating surveys into local languages, creating electronic data collection forms, collecting, managing, and analyzing data, and submitting a final data report. The local survey firm(s), in collaboration with FHI 360, will create a detailed study management plan specifying expectations for regular team meetings, a schedule for reporting requirements and conference calls to facilitate oversight of the team, a study timeline, team composition, plans for training study staff, and logistical details of the study.

Training of the data collection team will be conducted by the agency(s) in collaboration with staff from FHI 360. Materials for the training will be developed jointly and will include exercises to ensure accurate completion of forms. Apart from training on the survey protocol, specific briefing will be given on ethical guidelines and issues of respondent confidentiality so that strict norms are followed during the interview process. Data collection, management and analysis training will be provided by FHI 360, on an as needed basis.

As the study sponsor, FHI 360 maintains the primary responsibility study conduct. Accordingly, FHI 360 staff will take at least one study monitoring trip (in addition to the initial training trip) to the study sites. Periodically through data collection, the contracted agency(s) will submit datasets and syntax to FHI 360 for review.

VII. DATA MANAGEMENT, ANALYSIS, AND DISSEMINATION Note: This section of the RFP on data management, analysis, and dissemination applies to both SOWs. 1) Data Management The contracted agency will be responsible for collecting and managing data to ensure confidentiality and security. The local agency and FHI 360 will work together to ensure that the protocol and study methodology are consistently understood and implemented by all study team members. All key research team members will be required to complete a research ethics training course prior to the start of data collection. The agency will develop a detailed study management plan, specifying expectations for regular team meetings, reporting requirements and conference calls to facilitate oversight of the team. Data collection, management and analysis training will be provided by FHI 360 on an as needed basis. All study documents and data will be reviewed by FHI 360 and feedback provided to the research teams as needed.

of 20 All survey data will be sent to the in-country survey operations center(s). Survey operations centers may be different for the CATI and household survey, depending on how the survey work is contracted.

Household survey data will be collected electronically on password-protected mobile devices and checked by a supervisor nightly. Data will be uploaded to a secure server daily, if internet connection permits. Lists of household members will be kept secure by field data collectors at all times and destroyed as soon as possible. CATI survey data will be entered electronically during the telephone interview and saved on a secure server nightly. Any CATI call lists on paper will be maintained in locked file cabinets except when in use. Any electronic call lists will be password-protected. The data collection agency will password protect all electronic data and maintain it only on the project computer at the field sites, on secure servers, or on back-up disks kept in a locked file cabinet. Prior to analysis, names and telephone numbers will be stripped from the datasets, leaving only a unique participant ID number linked to each record. GPS coordinates will remain on the datasets. Those password- protected datasets will be emailed to FHI 360 where they will be kept in project files for three years, as per FHI 360 policy.

Interviews will be conducted in local languages. Any open-ended responses to survey questions will be translated by the data collection agency into English prior to analysis. Final datasets will include both the original language and English translations.

For both the household and CATI surveys, procedures will be put in place to minimize errors in data entry. These include, but are not limited to: restricting value ranges and establishing logic checks, and automated warnings if data fields are incomplete for any one question. CATI and household survey data will undergo a quality assurance check. Quality assurance procedures will be jointly developed, and agreed upon, by the local survey firm(s) and FHI 360. 2) Data Analysis A detailed data analysis plan for quantitative data will be prepared, which will define key variables, standardized tables, and a description of statistical methods to address each study objective. It will include a data cleaning and archiving and warehousing protocol, as per FHI 360 policy.

The primary outcome for the household survey is the proportion of the population in each user group: active, opportunistic and non-users. Descriptive statistics (frequencies and means) will be presented, stratified by these groups. T-tests and chi-square statistics will be used to compare group characteristics. Principle Components Analysis (PCA) or factor analysis may be used to create user profiles for market segmentation purposes. GIS may be used to map the location of surveyed households, as well as cell phone towers and electrical lines today and over the last five years in order to understand trends in mobile usage as it spreads geographically across Mozambique.

of 20 The primary outcome for the CATI survey will be retention (e.g. continued participation in the survey). We will use two-sided Chi-square tests without continuity correction (significance level of 0.05) to test the difference in the primary outcome between the control group and treatment groups 1 and 2. In addition, logistic regression may be used to examine whether the effect of treatment group on retention is confounded by other indicators, such as perceived barriers at baseline. A secondary outcome of the CATI survey is the change in service use over time. Logistic regression will be used to test whether the proportion of users of a particular service changed between time points, adjusting for treatment group. Linear regression models will be used to test whether the frequency of use of services changed between time points, adjusting for treatment group. 3) Data Dissemination A draft report on research findings and recommendations for action will be presented to USAID. This report will build upon the preliminary presentation and present more finalized findings and recommendations. Any suggestions for revision will be included in the subsequent, final report. FHI 360 will upload datasets to USAID’s Development Data Library after all deliverables and reports have been completed, in accordance with the Open Data Policy of ADS 579. The level of access to these data will be public. However, all identifying information - e.g., names, GIS coordinates, telephone numbers, addresses - will be stripped from the dataset by the implementing agency in coordination with FHI 360 staff before making public.

A final presentation will be delivered to USAID and key partners that will include the full and final results of MAUS and discuss the implications of these results and present the team’s recommendations. The presentation will also include an overview of the Mobile Usage and Activity Website and a step-by-step primer on how to use it.

A final MAUS report will also be developed. The report will provide a concise summation of the findings, details on research methods, and detailed tables of survey results. In addition the report will include some broad based recommendations for USAID future mobile programming, for example, which areas are best poised for mobile projects because of wide- spread mobile usage.

VIII. HUMAN SUBJECTS Note: This section of the RFP on Human Subjects applies to both SOWs.

Ethics The protocol and study instruments will be reviewed by FHI 360’s Office for International Research Ethics, to determine the study’s level of risk to participants. Depending on their decision, the study may receive an exemption from IRB review. If an exemption is not granted, the study will be reviewed by FHI 360’s IRB, the Protection of Human Subjects Committee, as well as an appropriate IRB in Mozambique. Any protocol violation and/or social harm event will be reported to both Ethics Committees, in accordance with FHI 360’s Standard Operating Procedure. Corresponding questionnaires will be excluded and interviewers who deviate from study procedures will be replaced.

of 20 All study team members handling data will be trained in maintaining participant confidentiality and other ethical aspects of the study design and procedures. Key field staff will be required to successfully complete – or have already completed - a research ethics training course.

Informed Consent Oral informed consent will be conducted with all potential research participants. During the informed consent process, data collectors will explain to eligible participants the basic purpose and conduct of the study, including confidentiality procedures and the right to refuse or withdraw at any time. For all data collection activities, interviewers will be required to verify, via their own signature, that informed consent was obtained for each participant interviewed.

Risk There is no physical risk and very minimal social risk to participants in both the household and the CATI surveys. We will collect identifiable information (e.g. names, phone numbers, and GPS coordinates) as well as ownership of assets (e.g. television, radio); however, we feel that the risk associated with unintentional disclosure of these details would be minimal. With appropriate confidentiality procedures in place, we feel that the disclosure is unlikely.

For the cohort sample, participant’s names and phone numbers will be needed to maintain contact throughout the course of the study. Call lists that link names and phone numbers to unique participant ID numbers will be kept separate from survey data and will be destroyed at the end of data collection. For the household survey, names of all household members will be collected to facilitate asking about each individual. However, names and phone numbers will be removed from all datasets prior to analysis. All study participants will be assigned coded ID numbers, which will be used on all survey and consent documents.

We will be collecting GPS coordinates during the household survey and these coordinates will be used to produce a map of mobile phone access; however, maps will be presented at the village level, aggregated so that individual households will not be identifiable.

IX. DELIVERABLES The selected subcontractor will be responsible for providing the following deliverables to FHI 360 for approval. It is noted next to each deliverable to which SOW(s) the deliverable applies. For those deliverables that apply to both SOWs, if one firm is selected, one deliverable can be submitted that encompasses both SOWs. All deliverables will be subject to FHI 360’s review and approval.

1) Final Research Protocol (SOW #1 and SOW #2): The selected subcontractor will prepare a final Research Protocol that will include study methodology, study management plan, data management and quality assurance plan, and data dissemination plan. Further requirements for certain components of the research plan are detailed below: a. Study Methodology: The detailed study methodology will describe sampling procedures, data collection procedures, and provide a data analysis plan. The data analysis plan will define key indicators, describe the indicators and/or statistical

of 20 tests that will be used to respond to each study objective, and mention the statistical software to be used, b. Study Management Plan: The detailed study management plan will specify expectations for regular team meetings, a schedule for reporting requirements and conference calls to facilitate oversight of the team, a study timeline, team composition, plans for training study staff, and logistical details of the study. c. Data Management and Quality Assurance Plan: The selected subcontractor will submit a plan that sets procedures for managing data sets and ensuring the security, confidentiality, and quality of data. d. Detailed Data Dissemination Plan: This document will detail all plans for data dissemination once the study is concluded. 2) Final Electronic Survey Instrument(s) (SOW #1 and SOW #2): The selected subcontractor will work with FHI 360 to develop the survey instrument for the CATI survey and/or Household Survey (according to which SOW(s) the subcontractor is responsible for). FHI 360 will provide a draft questionnaire. The subcontractor is responsible for reviewing the questions, adapting them to the local context, translating the forms into the local language, programming electronic forms in both English and the local language with appropriate skips and checks, and pre-testing the forms. 3) Preliminary Round 1 CATI Dataset (SOW #1): The selected subcontractor will submit a dataset at the beginning of the first round of the CATI survey, for the first 100 respondents. This dataset will be subject to verification by FHI 360. (This dataset, and any other dataset submitted to FHI 360 by the subcontractor, will not include identifying information for survey participants, but will instead identify participants by a participant ID.) 4) Preliminary Household Dataset (SOW #2): The selected subcontractor will submit a dataset at the beginning of the household survey, for the first 20 respondents. This dataset will be subject to verification by FHI 360. 5) Bi-weekly Email Updates on Progress (SOW #1 and SOW#2): The selected subcontractor will share updates on survey progress with FHI 360 via email every two weeks. Email updates will include information such as the number of respondents, the number of refusals, and successes and challenges experienced to-date. 6) Final Datasets from CATI Survey, Round 1 (SOW #1): The selected subcontractor will submit to FHI 360 the data collected from the first round of the CATI Survey. 7) Analysis Summary – CATI Survey, Round 1 (SOW #1): The selected subcontractor will submit an analysis summary following the first round of the CATI survey. The analysis summary will include descriptive statistics that correspond to survey objectives, data analysis syntax (or log files if using SPSS), and a report on market segmentation. 8) Final Datasets from Household Survey (SOW #2): The selected subcontractor will submit to FHI 360 the data collected from the Household Survey. 9) Analysis Summary – Household Survey (SOW #2): The selected subcontractor will submit an analysis summary following the household survey. The analysis summary will include descriptive statistics that correspond to survey objectives, data analysis syntax (or log files if using SPSS), and a report on market segmentation. 10) Final Datasets from CATI Survey, Round 2 (SOW #1): The selected subcontractor will submit to FHI 360 the data collected from the second round of the CATI Survey.

of 20 11) Analysis Summary – CATI Survey, Round 2 (SOW #1): The selected subcontractor will submit an analysis summary following the second round of the CATI survey. The analysis summary will include descriptive statistics that correspond to survey objectives, data analysis syntax (or log files if using SPSS), and a report on market segmentation. 12) Final Datasets from CATI Survey, Round 3 (SOW #1, if applicable): If time and funds allow for a third round of the CATI Survey, the selected subcontractor will submit to FHI 360 the data collected from the third round of the CATI Survey. 13) Analysis Summary – CATI Survey, Round 3 (SOW #1, if applicable): If time and funds allow for a third round of the CATI Survey, the selected subcontractor will submit an analysis summary following the third round of the CATI survey. The analysis summary will include descriptive statistics that correspond to survey objectives, data analysis syntax (or log files if using SPSS), and a report on market segmentation. 14) Draft Evaluation Report & Presentation (SOW #1 and SOW #2): A draft report on research findings and recommendations for action will be presented to FHI 360 and USAID. The draft report will include research findings of mobile usage for review and recommendations. Any suggestions for revision will be included in the subsequent, final report. 15) Final Evaluation Report (SOW #1 and SOW #2): A final report will also be developed, to include FHI 360 and USAID’s suggestions for revisions of the draft report. The report will provide a concise summation of the findings, details on research methods, and detailed tables of survey results. In addition the report will include some broad based recommendations for USAID future mobile programming. (For example, what populations to target, which areas are best poised for mobile projects because of wide- spread mobile usage, etc). 16) Final Presentation of Final Evaluation Report (SOW #1 and SOW #2): A final presentation will be delivered to FHI 360, USAID, and key partners that will include the full and final results of the survey, discuss the implications of these results, and present the team’s recommendations.

A schedule resembling the below table will be used in the contract for the study to represent the deliverables that the selected subcontractor will submit to FHI 360 and their due dates:

Deliverable Due Date Final Research Protocol TBD (SOW #1 and SOW #2) Final Electronic Survey Instrument(s) TBD (SOW #1 and SOW #2) Preliminary Round 1 CATI Dataset TBD (SOW #1) Preliminary Household Dataset TBD (SOW #2) Bi-weekly Email Updates on Progress TBD (SOW #1 and SOW #2) Final Datasets from CATI Survey, Round 1 TBD (SOW #1) Analysis Summary – CATI Survey, Round 1 TBD

of 20 (SOW #1) Final Datasets from Household Survey TBD (SOW #2) Analysis Summary – Household Survey TBD (SOW #2) Final Datasets from CATI Survey, Round 2 TBD (SOW #1) Analysis Summary – CATI Survey, Round 2 TBD (SOW #1) Final Datasets from CATI Survey, Round 3 TBD (SOW #1, if applicable) Analysis Summary – CATI Survey, Round 3 TBD (SOW #1, if applicable) Draft Evaluation Report and Presentation TBD (SOW #1 and SOW #2) Final Evaluation Report TBD (SOW #1 and SOW #2) Final Presentation of Final Evaluation Report TBD (SOW #1 and SOW #2)

X. SUBMISSION REQUIREMENTS Organizations can submit proposals for one or both SOWs in this RFP. Awards will be made to one organization that can best complete both SOWs or to two different organizations, one to perform each separate SOW. Multiple awards for the same SOW will not be awarded. Bidders should tailor their response to the SOW(s) on which they are bidding. In their proposal, bidders should also clearly indicate the SOW(s) on which they are bidding.

FHI 360 is requesting interested firms to provide the following: 1. Workplan (including timeline): Detailed workplan and timeline for training and carrying out the survey, including details on quality control, data management, and detailed plans for field work implementation to meet the scope and timeline. One workplan should be submitted per SOW. (If the same firm submits multiple workplans, each workplan will be evaluated separately and independently.)

2. Capability and Past Performance Statement: Not to exceed three-page narrative on the firm’s capabilities to perform the SOW(s) indicating past experience in conducting quantitative research. If bidding on SOW #1, past experience conducting CATI surveys should be included; if bidding on SOW #2, past experience conducting household interviews should be included. The subcontractor should include brief descriptions of previous projects implemented by the firm in an Annex. If a firm submits multiple workplans, the Capability and Past Performance statement will be evaluated twice, once in the context of each workplan.

of 20 3. Staffing: Names, CVs (including their experience on this type of work), level of LOE, and daily rates for all proposed personnel. If a firm submits multiple workplans, the staffing submission will be evaluated twice, once in the context of each workplan.

4. Cost Proposal: The cost proposal will be based on the deliverables indicated above and the illustrative timeline. The cost proposal will be submitted in the format of the attached budget template (Attachment A) with accompanying budget notes. If bidding on both SOWs, you must submit two separate budgets. The Cost Proposal will be evaluated twice, once in the context of each workplan.

XI. SELECTION CRITERIA All proposals will be evaluated by highest score per the selection criteria outlined below.

SOW #1: CATI Survey SOW #2: Household Survey Criteria Point Allocation Criteria Point Allocation

Workplan (& Timeline) 30 Workplan (& Timeline) 30

Capability and Past Capability and Past 25 25 Performance Statement Performance Statement

Staffing 15 Staffing 15

Cost Proposal 30 Cost Proposal 30

XII. CONTRACT MECHANISM

A fixed-price subcontract may be awarded to the responsive organization whose proposal will be evaluated as most advantageous to FHI 360.

NOTE: FHI 360 will not compensate companies for its preparation of response to this RFP nor is the issuing of this RFP a guarantee that FHI 360 will award a contract. FHI 360 reserves the right to issue a contract based on the initial evaluation of offers without discussions. FHI 360 may choose to issue a contract for only part of the activities specified above.

XIII. TERMS AND CONDITIONS Offerors are responsible for review of the terms and conditions described below. If relevant, particular attention should be paid to clauses regarding USAID geographic code, marking and branding requirements and equipment and commodity purchases.

of 20 WITHDRAWALS OF PROPOSALS Offerors may withdraw proposals by written notice via email received at any time before award. Proposals may be withdrawn in person by an offeror or his/her authorized representative, if the representative’s identity is made known and the representative signs a receipt for the proposal before award.

RIGHT TO SELECT/REJECT FHI 360 reserves the right to select and negotiate with those firms it determines, in its sole discretion, to be qualified for competitive proposals and to terminate negotiations without incurring any liability. FHI 360 also reserves the right to reject any or all proposals received without explanation.

DISCLAIMER This RFP represents only a definition of requirements. It is merely an invitation for submission of proposals and does not legally obligate FHI 360 to accept any of the submitted proposals in whole or in part, nor is FHI 360 obligated to select the lowest priced proposal. FHI 360 reserves the right to negotiate with any or all firms, both with respect to price, cost and/or scope of services. FHI 360 has no contractual obligations with any firms based upon issuance of this RFP. It is not an offer to contract. Only the execution of a written contract shall obligate FHI 360 in accordance with the terms and conditions contained in such contract.

REQUEST FOR PROPOSAL FIRM GUARANTEE All information submitted in connection with this RFP will be valid for three (4) months from the RFP due date. This includes, but is not limited to, cost, pricing, terms and conditions, service levels, and all other information. If your firm is awarded the contract, all information in the RFP and negotiation process is contractually binding.

OFFER VERIFICATION FHI 360 may contact offerors to confirm contact person, address, bid amount and to confirm that the bid was submitted for this solicitation.

FALSE STATEMENTS IN OFFER Offerors must provide full, accurate and complete information as required by this solicitation and its attachments.

CONFLICT OF INTEREST Offerors must provide disclosure of any past, present or future relationships with any parties associated with the issuance, review or management of this solicitation and anticipated award. Failure to provide full and open disclosure may result in FHI 360 having to re-evaluate selection of a potential offeror.

RESERVED RIGHTS All RFP responses become the property of FHI 360 and FHI 360 reserves the right in its sole discretion to:

of 20 o To disqualify any offer based on offeror failure to follow solicitation instructions; o FHI 360 reserves the right to waive any deviations by offerors from the requirements of this solicitation that in FHI 360's opinion are considered not to be material defects requiring rejection or disqualification; or where such a waiver will promote increased competition; o Extend the time for submission of all RFP responses after notification to all offerors; o Terminate or modify the RFP process at any time and re-issue the RFP to whomever FHI 360 deems appropriate; o FHI 360 reserves the right to issue an award based on the initial evaluation of offers without discussion; o Award only part of the activities in the solicitation or issue multiple awards based on solicitation activities.

Governing Law and Language This solicitation and any resulting contract shall be interpreted in accordance with the laws of the U.S. Government except in cases where they contradict Indian law. The English language version of this solicitation and any resulting contract shall govern, and all notices pursuant to the provisions of this solicitation and any resulting contract shall be in English.

Certification of Independent Price Determination (a) The offeror certifies that-- (1) The prices in this offer have been arrived at independently, without, for the purpose of restricting competition, any consultation, communication, or agreement with any other offeror, including but not limited to subsidiaries or other entities in which offeror has any ownership or other interests, or any competitor relating to (i) those prices, (ii) the intention to submit an offer, or (iii) the methods or factors used to calculate the prices offered; (2) The prices in this offer have not been and will not be knowingly disclosed by the offeror, directly or indirectly, to any other offeror, including but not limited to subsidiaries or other entities in which offeror has any ownership or other interests, or any competitor before bid opening (in the case of a sealed bid solicitation) or contract award (in the case of a negotiated or competitive solicitation) unless otherwise required by law; and (3) No attempt has been made or will be made by the offeror to induce any other concern or individual to submit or not to submit an offer for the purpose of restricting competition or influencing the competitive environment. (b) Each signature on the offer is considered to be a certification by the signatory that the signatory-- (1) Is the person in the offeror's organization responsible for determining the prices being offered in this bid or proposal, and that the signatory has not participated and will not participate in any action contrary to subparagraphs (a)(1) through (a)(3) above; or (2) (i) Has been authorized, in writing, to act as agent for the principals of the offeror in certifying that those principals have not participated, and will not participate in any action contrary to subparagraphs (a)(1) through (a)(3) above; (ii) As an authorized agent, does certify that the principals of the offeror have not participated, and will not participate, in any action contrary to subparagraphs (a)(1) through (a)(3) above; and

of 20 (iii) As an agent, has not personally participated, and will not participate, in any action contrary to subparagraphs (a)(1) through (a)(3) above.

(c) Offeror understands and agrees that -- (1) violation of this certification will result in immediate disqualification from this solicitation without recourse and may result in disqualification from future solicitations; and (2) discovery of any violation after award to the offeror will result in the termination of the award for default.

XIII. RFP ATTACHMENTS

Attachment A : Fixed-Price Budget Template

– END OF RFP –