Begin with the decision the NGO must make
Good baseline research is designed backwards from programme decisions. For an NGO operating in Djibouti, that means defining intended participants, understanding local delivery structures, and choosing indicators that will still make sense at midline and endline. Comparing experiences in Djibouti City and Ali Sabieh can strengthen the initial design because the two settings are not identical: a port-centred urban service economy, while Ali Sabieh represents an inland town with a different transport and consumer setting.
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 Djibouti
Fieldwork should follow the administrative vocabulary used in Djibouti: regions and communes. 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 Djibouti City: designing the first city sample
In Djibouti City, where the city functions as a port-centred urban service economy, 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 Ali Sabieh: testing a contrasting city context
Ali Sabieh deserves an independent field plan because it is an inland town with a different transport and consumer setting. Before importing the Djibouti City 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
Build the questionnaire from the analysis plan, not the reverse. Start with a table matching each evaluation question to an indicator, variable, source and planned comparison. Test whether the measure is sensitive to the type of change the programme could plausibly cause. Specify recall periods clearly, especially for income, attendance, expenditure or service visits. Record contextual variables that could explain outcomes without confusing them with programme results. A carefully defined small indicator set is more valuable than a long survey full of loosely connected questions.
Choose appropriate survey and qualitative methods
A credible baseline rarely depends on a survey alone. Administrative records can describe programme reach, facility reviews can establish service readiness, and qualitative interviews can explain barriers not captured by fixed response options. The survey provides structured measures when the sampling design supports them. Decide which source is authoritative for each construct and how discrepancies will be investigated. A photograph, GPS point or timestamp should be collected only if needed and ethically justified; technology is not a substitute for valid measurement.
Translate and pilot instruments for local respondents
Tools and consent scripts should be tested in French, Arabic, Somali and Afar. 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, small population frames and mobile groups warrant careful screening. 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
Respondents are more likely to give meaningful answers when they understand who is conducting the study and how information will be used. Consent should distinguish the research team from programme selection decisions and state the limits of confidentiality. Make a documented choice about collecting names, audio and GPS. Use access controls, secure transfer and deletion schedules. If the study covers minors or sensitive health topics, obtain appropriate specialist review and consent or assent procedures before recruitment.
Check quality while fieldwork is still active
Digital collection can enforce range checks, but the research still needs people and procedures. Supervisors should observe interviews, audit respondent selection, review suspicious patterns and ensure that genuine refusals are recorded. Training must address leading probes, substitution of selected households and pressure to meet numerical targets. A short feedback cycle allows correction before weaknesses contaminate the full sample. At closure, reconcile accepted interviews, exclusions, weights, field incidents and outstanding quality flags.
Analyse change without overstating causal claims
Analysis should move from data validation to clearly labelled findings. Report weighted estimates only when design and weights justify them. Examine subgroup differences with attention to sample sizes and uncertainty, and separate observed conditions from assumptions about programme causality. Triangulate conflicting findings: a facility may report stock availability while households describe barriers to access. The final product should include baseline values, limitations, an indicator annex or calculation dictionary, and a short decision brief for programme managers.
Turn baseline evidence into action in Djibouti
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 Djibouti, what it means specifically for Djibouti City and Ali Sabieh, 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 Djibouti 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 Djibouti City, Ali Sabieh or wider coverage in Djibouti, 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 Djibouti
We run research across African markets. Start with these services for work in Djibouti:
- Monitoring, evaluation and learning in Djibouti: Baseline, midline, endline and programme evaluation.
- Social and development research in Djibouti: 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.
