Begin with the decision the NGO must make
The first question for an NGO in Uganda is not how many interviews it can finish, but what evidence it needs before intervention activities change local conditions. Baseline findings should inform targeting, resource allocation and later outcome tracking. Research in Kampala and Gulu can help test the assumptions behind the programme, provided the study clearly separates those city-level findings from conclusions about the wider country.
Begin by questioning the programme assumptions rather than accepting the logframe uncritically. If an NGO expects improved uptake, the baseline must examine existing service access, trust, cost and behaviour, not only awareness. If the intended result concerns income, collection should account for seasonal variation and multiple earning sources. Make the key decisions explicit: what finding would require redesign, what subgroup requires additional support, and when the team must receive results for them to matter.
Understand how research geography works in Uganda
Fieldwork should follow the administrative vocabulary used in Uganda: districts, cities, divisions, sub-counties and parishes. 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
The sample plan must say what the estimates will represent. An NGO might need one estimate across programme communities, separate estimates for women and men, or a comparison of exposed and unexposed participants. These are different sample-design problems. Selection should not be delegated to interviewer convenience. Build a frame, test its completeness, document clustering and calculate practical design effects. Where populations are mobile or records outdated, conduct listing or frame verification before drawing respondents.
Baseline research in Kampala: designing the first city sample
In Kampala, where the city functions as a busy capital with multiple residential and business segments, a baseline might start with an inventory of programme catchments and service points. If the intervention concerns water, sanitation and hygiene, the field team should test measures of water source, reliability, access time, costs and household practices. 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 Gulu: testing a contrasting city context
Gulu deserves an independent field plan because it is a northern city with a distinct post-conflict and trading context. Before importing the Kampala 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
Programme dashboards often group together activity counts, outputs and outcomes, but a baseline primarily needs interpretable starting values for the intended results. Define what counts as a person reached, a household with access, a user satisfied or a facility functioning. For sensitive measures, confirm privacy before selecting a mode. Set out missing-value rules and calculation conventions in advance. This protects the study from retrospective threshold-setting once the team has seen the data.
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 English, Luganda, Acholi and other 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, local council and parish geography can help structure recruitment. 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
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
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 Uganda
For a hypothetical NGO programme focused on water, sanitation and hygiene, the useful deliverable is not simply a table showing water source, reliability, access time, costs and household practices. 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 Uganda, what it means specifically for Kampala and Gulu, 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 Uganda 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 Kampala, Gulu or wider coverage in Uganda, 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 Uganda
We run research across African markets. Start with these services for work in Uganda:
- Monitoring, evaluation and learning in Uganda: Baseline, midline, endline and programme evaluation.
- Social and development research in Uganda: 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.
