Projects

Total Sample Size: 1,500 respondents, including 150 brooder unit operators and 1,350 small-scale production farmers. A stratified random sampling method was employed to ensure representation from different categories of poultry farmers. The sample was divided into two groups: brooder unit operators and small-scale production farmers. Participants were selected based on predefined criteria to ensure a balanced representation of the target population.

A structured questionnaire was developed in collaboration with WPF to capture data on poultry usage, resource allocation, income, and nutritional outcomes. Field enumerators used tablets equipped with CAPI software to administer the survey. This allowed for efficient data capture and real-time synchronization with the central database.

Fieldwork was conducted over a period of four weeks across various regions in The Gambia. Enumerators were trained extensively on the survey objectives, ethical considerations, and the use of CAPI technology. Data collection was closely monitored to ensure compliance with survey protocols.

Respondent Type: Managers and above in B2B sectors.
A selective sampling approach was employed to target senior executives with insights into their company’s digital transformation journey. Respondents were chosen based on predefined criteria such as job title and company revenue.

Structured questionnaires were used to gather comprehensive information on digitalization practices within organizations. Each questionnaire included specific patterns to tailor questions based on respondents’ answers, ensuring relevance. The survey was 15-18 minutes long, allowing enough time to delve into key aspects of digital transformation.

Fieldwork was carried out over a period of 4 days using a Face-to-Face approach across key business hubs in The Gambia. Given the nature of the B2B audience, emphasis was placed on securing high-level engagements with decision-makers. Field teams were well-trained to navigate sensitive business environments and ensure high response quality. This project involved 100% Personally Identifiable Information (PII), with mandatory collection of company names, respondent job titles, and company revenue data. Strict adherence to data privacy regulations ensured the secure handling of all collected information.