Begin with the decision the NGO must make
A baseline study in The Gambia becomes valuable when it changes an implementation decision. Before interviewing households in Banjul or Serekunda, a programme team should decide what it needs to learn about access, quality, affordability, knowledge or behaviour. A pair of urban sites can illuminate how an intervention might work in different settings; it cannot establish results for every district, rural settlement or hard-to-reach population.
An effective baseline begins with the programme theory of change. Map the intended activities, outputs, outcomes and assumptions, then ask which assumptions are most uncertain. For an education intervention, access to classes and learning outcomes are different constructs; for a livelihood project, training participation is not the same as improved earnings. Define the measurement questions before selecting a questionnaire platform. The final study plan should say who will review the data and what programme choices each indicator is expected to support.
Understand how research geography works in The Gambia
Fieldwork should follow the administrative vocabulary used in The Gambia: administrative regions, districts and municipal areas. These structures help researchers identify the correct boundaries, local gatekeepers and likely sources of population lists, but they do not automatically supply a complete probability sampling frame. First establish which boundaries apply to the actual programme area, then verify maps and household or facility counts. Administrative labels should be used only after checking their exact local meaning and relationship to the study population.
Define the target population and sampling frame
An apparently generous sample can still be biased if interviewers recruit only easy-to-reach people. Specify the universe, inclusion criteria, sampling units, contact procedures and treatment of refusals before fieldwork. Stratification can help protect key geographic or social groups when those groups are defined in advance. Consider whether monitoring requires a repeated cross-section or a panel; a panel creates stronger individual tracking but adds attrition and confidentiality duties. Report limitations as part of the methodological finding, not as an afterthought.
Baseline research in Banjul: designing the first city sample
In Banjul, where the city functions as a compact capital with a limited residential universe, a baseline might start with an inventory of programme catchments and service points. If the intervention concerns community health and clinic access, the field team should test measures of service awareness, recent use, travel barriers and perceived quality. Interviewer routes should deliberately cover selected neighbourhoods rather than concentrating around accessible offices and major roads. Compare the register of intended participants with people who actually use services; discrepancies may expose targeting or access problems. Whether the unit is a household, young person, facility or beneficiary must remain consistent through analysis.
Baseline research in Serekunda: testing a contrasting city context
Serekunda deserves an independent field plan because it is a larger urban commercial area within the Greater Banjul region. Before importing the Banjul questionnaire unchanged, conduct a short cognitive pilot and verify where the target population resides, travels and receives services. The sample allocation should reflect the stated comparison question, not an arbitrary equal split made for convenience. If the NGO needs a comparison between the two cities, agree the minimum precision and subgroup coverage needed. Findings should describe the observed difference without attributing it automatically to geography or programme performance.
Build indicators that can be measured again
Treat indicator definitions as the bridge between programme claims and survey evidence. For each proposed outcome, ask whether it can be observed, self-reported or verified from records. Avoid relying on a single question when the construct has several dimensions. If measuring household resilience, for instance, clarify the time horizon and components rather than applying a generic label. Pilot response categories and translation choices. The baseline data dictionary should allow an independent analyst to reproduce the reported indicators without guessing.
Choose appropriate survey and qualitative methods
Use methods that match the people and the evidence. Face-to-face computer-assisted interviews can support structured household selection and physical verification, but require travel and supervision. Telephone interviews may suit valid beneficiary contact lists, while online forms can work for genuinely connected professional audiences. They should not be used to exclude offline populations and then presented as population-wide findings. Combine surveys with key informant interviews, observations or small-group discussions when the NGO needs to understand why a pattern exists. Keep qualitative insight distinct from statistically estimated prevalence.
Translate and pilot instruments for local respondents
Tools and consent scripts should be tested in English, Mandinka, Wolof and Fula. A language that works for a formal meeting may not be the clearest language for a household interview, and bilingual respondents may switch vocabulary when describing sensitive experiences. Prepare a glossary for core constructs, reconcile translations with the source questionnaire and role-play difficult questions. Recruit interviewers for language competence and cultural familiarity, not only device skills. Translation changes need recorded approval so that future midline and endline rounds can preserve conceptual equivalence.
Design field operations around actual access conditions
Operationally, do not infer nationally representative results from neighbouring urban settlements. Plan interviewer assignments, transport, safe operating hours, supervision and escalation around this reality. An initial reconnaissance visit can check listing feasibility, accessibility, the actual duration of an interview and any mismatch between administrative maps and lived settlement boundaries. A rigorous pilot should include sample-selection rehearsal, consent practice, skip-logic tests and mock data submission. Budget for replacements that comply with the original selection procedure rather than allowing opportunistic substitution when a respondent is absent.
Protect consent, privacy and vulnerable participants
Informed consent should explain the study purpose, voluntary participation, the expected length of contact and the treatment of personal information. Beneficiaries must not assume that declining an interview will affect their assistance. Collect only identifiers needed for follow-up, store contact lists separately from analytical data, and restrict access according to role. Sensitive subjects may require private interview spaces, interviewer matching or referral procedures. Review applicable permissions and data-protection obligations locally before fieldwork rather than relying on a generic pan-African consent script.
Check quality while fieldwork is still active
Quality assurance should begin with the sampling frame and tool. Train enumerators on eligibility, consent, neutrality, translation, route procedures and escalation. Use role plays and certification interviews before deployment. During collection, dashboards can flag unusual duration, repeated coordinates, inconsistent answers and incomplete quotas; none of these signals proves misconduct by itself. Supervisors should investigate patterns using observations, call-backs and documented checks. Predefine interview rejection rules to prevent convenient decisions after fieldwork.
Analyse change without overstating causal claims
An NGO needs a baseline report it can actually use. Begin with a documented cleaned dataset, define denominators for every headline indicator and explain exclusions. Examine geographic and demographic inequalities rather than hiding them inside overall means. When a city comparison is illustrative, describe it as illustrative. Baseline outcomes describe starting conditions; they do not prove that a future intervention will work. Recommendations should identify practical programme adjustments and the evidence needed to assess them later.
Turn baseline evidence into action in The Gambia
For a hypothetical NGO programme focused on community health and clinic access, the useful deliverable is not simply a table showing service awareness, recent use, travel barriers and perceived quality. It is an explanation of which barriers can be addressed through the intervention and which reflect factors outside programme control. If participants know a service exists but rarely use it, explore cost, location, opening time, quality, trust and social norms. Recommend a response only when the evidence distinguishes among those explanations. The baseline should also register external shocks and programme exposure dates to protect later interpretation.
At the end of the exercise, the NGO should be able to say what the baseline means for The Gambia, what it means specifically for Banjul and Serekunda, and what it does not mean. Set a schedule for repeating core indicators, preferably at comparable seasonal periods. Keep the sample frame, contact protocol, questionnaire versions, interview-date records and calculation syntax. Use a short management session to decide whether targeting, staffing, communication or referral practices should change. Record those decisions so the endline can examine both outcomes and the adaptation process.
What a useful baseline report should deliver
A strong The Gambia baseline report should provide a clearly defined study population, an honest sampling account, accepted-interview totals, response outcomes, reproducible indicators and accessible recommendations. City comparisons should carry their own denominators and limitations. The report can be supported by a clean dataset, fieldwork memo, codebook and monitoring matrix, for internal analysis and subsequent measurement rounds. Any gaps in coverage should be visible so implementers can decide whether further listing or targeted qualitative inquiry is needed before expanding activities.
How Surveysphere Africa can support
Surveysphere Africa helps NGOs and development organisations design baseline studies, define indicators, plan samples, manage fieldwork, verify data quality and turn findings into actionable programme decisions. For work involving Banjul, Serekunda or wider coverage in The Gambia, the research design should begin with the intended decision and the population it needs to represent, then adapt responsibly to the local context.
Related guidance
For the continent-wide view, read our guide to baseline, midline and endline studies.
Our services for research in The Gambia
We run research across African markets. Start with these services for work in The Gambia:
- Monitoring, evaluation and learning in The Gambia: Baseline, midline, endline and programme evaluation.
- Social and development research in The Gambia: Qualitative and quantitative studies for social and development programmes.
We also offer: Outsourced fieldwork, Market and consumer research, Public health research, Policy, economic and institutional research, Data analytics and insights visualisation.
