Begin with the decision the NGO must make
An NGO planning a project in Algeria needs more than a starting percentage. A baseline must explain whose circumstances are being measured, which services or behaviours are relevant, and how the same indicators can be measured again. Algiers and Oran offer two useful fieldwork perspectives: a large metropolitan audience with varied service access and a major western coastal commercial centre. The locations can expose differences that a single-city pilot might miss, but they are not, on their own, a national sample.
Start with a decision workshop involving programme management, monitoring staff and implementing partners. Identify the decisions that cannot be made responsibly without new evidence: which groups should be prioritised, whether a service gap is primarily about distance or quality, and what magnitude of change the programme expects. Translate each decision into two or three answerable baseline questions. This process prevents the survey from becoming a catalogue of interesting indicators that nobody will use. Record how the resulting findings will influence location selection, budgeting or programme design.
Understand how research geography works in Algeria
Fieldwork should follow the administrative vocabulary used in Algeria: wilayas, daïras 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
Sampling quality depends on how people can enter the study, not simply how many questionnaires are completed. Construct a frame with clearly defined geographic and eligibility boundaries. If households are selected through multiple stages, track selected clusters and household selection rules; if facilities are sampled, separate a facility census from interviews with its users. Anticipate nonresponse and predefine replacement procedures. A two-city study can estimate outcomes for well-defined urban populations when designed for that purpose, but it cannot automatically claim to represent every region.
Baseline research in Algiers: designing the first city sample
In Algiers, where the city functions as a large metropolitan audience with varied service access, 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 Oran: testing a contrasting city context
Oran deserves an independent field plan because it is a major western coastal commercial centre. Before importing the Algiers 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
Build a mixed-method design around the research questions. Structured interviews may estimate the prevalence of a condition in a defined population; in-depth discussions can uncover how respondents interpret the issue. Site observation can test whether reported services exist and are usable. A phone-only design may miss participants with limited ownership or connectivity, so consider whether targeted in-person coverage is essential. Before fieldwork, reconcile questionnaires, consent language, qualitative guides and indicator definitions so the evidence fits together.
Translate and pilot instruments for local respondents
Tools and consent scripts should be tested in Arabic, Tamazight and French in relevant settings. 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, separate urban and interior coverage and test Arabic/Tamazight terminology. 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
A strong fieldwork control room watches more than the number of completes. It tracks sample progress, refusals, subgroup balance, interview duration, interviewer-level anomalies and unresolved incidents. Supervisors should review records daily while corrective action is possible. Back-check a defined selection of interviews, protect respondent confidentiality and investigate rather than automatically punish statistical outliers. Keep a log of tool changes, retraining and replacements so the final analysis can explain exactly what happened in the field.
Analyse change without overstating causal claims
Before writing the narrative, reconcile sample outcomes, missing data and indicator calculations. Tables should distinguish raw counts, valid percentages and weighted estimates as appropriate. Discuss plausible contextual explanations without attributing causes that were not tested. A useful final discussion links each finding to an operational question, such as targeting, access, implementation capacity or future monitoring. Archive the questionnaire, codebook, cleaning syntax and sampling notes so the next round can reproduce the approach.
Turn baseline evidence into action in Algeria
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 Algeria, what it means specifically for Algiers and Oran, 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 Algeria 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 Algiers, Oran or wider coverage in Algeria, 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 Algeria
We run research across African markets. Start with these services for work in Algeria:
- Monitoring, evaluation and learning in Algeria: Baseline, midline, endline and programme evaluation.
- Social and development research in Algeria: 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.
