Begin with the decision the NGO must make
Good baseline research is designed backwards from programme decisions. For an NGO operating in Ghana, that means defining intended participants, understanding local delivery structures, and choosing indicators that will still make sense at midline and endline. Comparing experiences in Accra and Kumasi can strengthen the initial design because the two settings are not identical: a coastal capital with formal and informal consumer segments, while Kumasi represents an inland commercial centre with extensive trading networks.
Hold a short inception exercise before building the sample. Programme staff should explain what the intervention will deliver, when exposure begins, and which target groups could be affected first. The research team then turns vague ambitions into a limited set of testable questions. For instance, a health programme may need to distinguish awareness of a service from physical access and actual use. Keeping these constructs separate makes later comparisons more credible and ensures that resources are spent collecting evidence that can inform management.
Understand how research geography works in Ghana
Fieldwork should follow the administrative vocabulary used in Ghana: regions and metropolitan, municipal and district assemblies. 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
Define the population before choosing sample size. The frame may be households, registered beneficiaries, service users, facilities or another identifiable universe. Decide whether the study needs representative estimates, comparisons between key groups, or exploratory findings; each calls for different selection rules. For probability work, document the frame, selection stages, inclusion probabilities, nonresponse approach, clustering and any planned weights. Quota and purposive samples may be appropriate for some questions, but their descriptive limits should be reported openly rather than hidden by a large number of interviews.
Baseline research in Accra: designing the first city sample
In Accra, where the city functions as a coastal capital with formal and informal consumer segments, a baseline might start with an inventory of programme catchments and service points. If the intervention concerns basic education and youth learning, the field team should test measures of enrolment, attendance, learning conditions and household constraints. 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 Kumasi: testing a contrasting city context
Kumasi deserves an independent field plan because it is an inland commercial centre with extensive trading networks. Before importing the Accra 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, Twi, Ga and other locally relevant languages. 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, sampling frames should respect assembly boundaries and neighbourhood variation. 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 Ghana
For a hypothetical NGO programme focused on basic education and youth learning, the useful deliverable is not simply a table showing enrolment, attendance, learning conditions and household constraints. 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 Ghana, what it means specifically for Accra and Kumasi, 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 Ghana 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 Accra, Kumasi or wider coverage in Ghana, 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 Ghana
We run research across African markets. Start with these services for work in Ghana:
- Monitoring, evaluation and learning in Ghana: Baseline, midline, endline and programme evaluation.
- Social and development research in Ghana: 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.
