Why the right survey method depends on the target population
A survey covering parts of South Sudan may be collected on tablets, through interviewer-led calls or through online forms, but these modes do not create equivalent samples automatically. The study team must decide what counts as an eligible respondent, which contact frames exist and which subgroups might be left out. Comparing Juba with Wau is useful because a capital with humanitarian and commercial concentration contrasts with a western city with a distinct local economy. The final method should follow the research objective, not the other way around.
Before selecting technology, clarify what decision the study will support. A programme assessing actual facility access may require physical observation; a business following up known clients may have usable telephone contacts; a professional survey may rely on verified electronic invitations. Identify the sampling unit, intended geographic coverage, minimum subgroup precision and acceptable burden. Compare modes against these requirements rather than assuming that smartphones make every population equally reachable. A successful data collection method produces valid evidence, not simply a large file.
CAPI: when in-person digital interviewing is strongest
Computer-Assisted Personal Interviewing, or CAPI, uses an interviewer carrying a programmed tablet or smartphone. It is especially useful when selected households, businesses, facilities or physical assets must be visited and verified. A well-programmed form can route questions, enforce reasonable ranges and capture time or location checks where justified. Offline collection can help where mobile data is unreliable, although the team still needs a secure synchronisation plan. Costs include travel, enumerator time, supervision, field permissions and safe access; the highest-cost method may nevertheless provide the strongest coverage.
CATI: when interviewer-led telephone surveys fit
CATI reduces travel and can make repeat-contact studies easier when a legitimate phone sampling frame exists. Supervisors can review calling patterns and interviewer performance, and a brief questionnaire may be completed without a site visit. The method is weakest when phone access, privacy or connectivity is uneven. Respondents may share devices, be unable to talk safely or hesitate to trust an unknown caller. Screening, callbacks, translated introductions and a careful nonresponse plan matter as much as the software. Telephone data cannot verify the condition of a physical site without independent evidence.
CAWI: when self-completed online surveys are credible
Online self-completion can suit employee engagement, service feedback or research with authenticated digital members. It may also be efficient for message and concept tests where participants need to see images. Its central weakness is self-selection or selective coverage when invitations circulate freely. A respondent who never receives the link has no opportunity to join, regardless of sample size. Keep pages light for low-bandwidth devices, test translation and screen-reader readability, and establish fraud controls. The convenience of an automatic dashboard should not be confused with representativeness.
Use the administrative research geography of South Sudan
A location frame in South Sudan should use the relevant geographic structures, such as states, counties, payams and bomas, rather than importing another country’s local government labels. The frame should distinguish where people live, work and access services from the administrative boundary used for supervision. A district or municipality may help organise field assignments without supplying a complete list of eligible respondents. Verify any boundaries and contact sources with field teams before sampling. These decisions affect who can enter the CAPI sample, which calling lists may be credible for CATI, and whether a CAWI panel covers the intended area. Security, displacement and access may change quickly. Neither tablet visits nor telephone calls should be presumed feasible without a current risk review, safe contact protocols and explicit recognition of populations excluded by insecurity.
Build a defensible sample before selecting devices
A questionnaire may be identical across modes while the achieved populations are not. Face-to-face routes can underrepresent workers absent during the day; phone frames may miss those without working numbers; web invitations can overrepresent connected or enthusiastic users. The design must identify these risks beforehand. Record initial selection probabilities where known, contact outcomes and subgroup gaps. Weighting can correct some measured imbalances only under defensible assumptions; it cannot manufacture coverage for an excluded population. Study conclusions should clearly name the actual survey universe.
Applying CAPI, CATI and CAWI in Juba
In Juba, the local research environment includes a capital with humanitarian and commercial concentration. A household livelihood or service-access survey might use mapped clusters and CAPI where the team must visit selected addresses, verify assets or record in-person observations. A CATI follow-up could be considered when respondents have willingly provided functioning numbers, while CAWI may suit a separately defined digitally reachable subgroup. These methods must not be substituted casually: each can select a different type of participant. Pilot questions and contact procedures within selected neighbourhoods before calculating the city estimate.
Applying CAPI, CATI and CAWI in Wau
In Wau, the team should independently assess who can be recruited and how, taking account of its character as a western city with a distinct local economy. Check whether the listed households or users can be visited safely, whether sufficient valid numbers exist and whether online recruitment would exclude relevant communities. If a mode used in Juba proves weak here, an adapted design may be justified, but preserve core indicator definitions. Note that two selected centres do not represent South Sudan as a whole; a claim about the entire country would require a wider sampling strategy.
Adapt questionnaire design for each survey mode
Mode selection affects how a question is understood. A CAPI interviewer may use a controlled showcard and verify that the correct person is answering. A CATI interviewer must read response options clearly without overwhelming the listener. A CAWI respondent needs concise instructions, mobile-friendly response controls and straightforward error feedback. Keep the underlying concept and reference period consistent while adapting presentation. Where identical wording is not feasible, test for mode effects. Do not merge apparently equivalent answers until the research team has assessed whether respondents interpreted them in comparable ways.
Test the actual languages respondents use
Interviewers and respondents may prefer different languages across the same city. Plan local screening, consent and questionnaire testing in English, Juba Arabic and locally relevant languages, choosing versions based on the actual target group rather than a single presumed national language. CATI needs phrases that are easy to understand by voice and not overly long. CAWI needs instructions that remain clear without an interviewer. CAPI can support spoken clarification, but staff must not explain questions inconsistently. A short glossary, cognitive pilot and version-control register help maintain concept equivalence across languages and modes.
Plan access, travel and connectivity around local conditions
For this country, a practical design consideration is that displacement, safety and weak or shifting population frames limit generalisation. Evaluate whether this affects road access for CAPI, call completion for CATI, or digital coverage and completion for CAWI. Conduct a reconnaissance and pilot in each selected centre. Estimate realistic interview duration, interviewer workloads, callback needs, connectivity and secure data transfer rather than applying an unchanged budget from another country. If teams change modes mid-project, document why and test whether the change affects the measured indicators.
Know when mixing modes improves coverage
A mixed-mode design can be sensible if the modes cover complementary groups by design. For example, CAPI might reach selected households lacking reliable numbers, while CATI covers an existing beneficiary list; CAWI might be reserved for digitally active professionals. Do not recruit convenient respondents from all three channels and call the total nationally representative. Agree how invitations will be tracked to prevent duplicates, which questions may be mode-sensitive, and whether final results will be shown separately or weighted into a defined combined population. The reasons for mode allocation should appear in the methods section before results are interpreted.
Apply mode-specific data quality checks
Quality assurance must match the risks of each mode. For CAPI, review interviewer movement, durations, route adherence, permissible GPS and back-check outcomes. For CATI, examine call dispositions, repeat-attempt patterns, script adherence and recordings only when lawful and consented to. For CAWI, check duplicate attempts, speeding, inconsistent identities and implausible response sequences. Apply predetermined thresholds fairly and investigate flags before excluding an interview. Digital evidence should be collected in proportion to the verification need and protected from unnecessary disclosure.
Treat consent and privacy as part of research design
Consent, privacy and safety cannot be delegated to the survey platform. A CAPI interviewer should explain the study in language the respondent understands, provide a private setting and collect only the identifiers necessary for the research. CATI requires sensitivity to who else can hear a call and whether the recipient is free to continue. CAWI needs a clear information screen, purposeful data collection and an easy way to stop. Recording, location tracking, contact-list use and data transfers should follow the rules and permissions applicable to the specific assignment.
Analyse mode effects and report coverage limits
A mixed-mode report should never hide the recruitment route behind a single total. Describe the frame for each mode, successful contacts, exclusions, response outcomes and final denominators. Compare key variables by collection method before pooling. If phone respondents report higher satisfaction than web respondents, investigate whether the groups differ in age, customer history or question interpretation. The most useful analysis distinguishes actual social or market patterns from artefacts of how the study was conducted.
An illustrative survey decision for South Sudan
Imagine a research organisation assessing South Sudan residents’ experience of health or education services. One component may require direct observation of a facility, which favours CAPI; another may involve checking in with beneficiaries already enrolled on a verified contact list, which can favour CATI. A third component may solicit structured feedback from employees or registered online users, which may fit CAWI. The question is not which technology wins overall, but which population and evidence requirement each technology can legitimately serve. For Juba and Wau, set different logistics assumptions while applying the same rules for respondent eligibility and data quality.
A method-selection decision for South Sudan should explicitly compare: population coverage; sample-frame defensibility; language and questionnaire fit; respondent privacy; requirements for direct observation; connectivity and travel constraints; consent and data protection; interviewer verification; nonresponse; and cost per valid, usable interview. A simple choice table can rank CAPI, CATI and CAWI against the particular study, rather than using a universal hierarchy. A cheap method that systematically misses core respondents is usually a poor value, while an expensive method with no extra evidence benefit may also be hard to justify.
What a credible survey report should contain
The study protocol should specify sampling units, city boundaries, contact or visit schedules, translated questionnaires, mode-specific recruitment procedures, quality checks, data storage and the rules for excluding or replacing cases. Reporting should provide separate denominator and nonresponse information for Juba and Wau when they are compared, with a clear limitation on inference beyond those populations. Good survey research gives programme managers and business leaders evidence they can use, plus enough operational detail to understand its strengths and gaps. It does not disguise coverage problems behind a high response count.
How Surveysphere Africa can support
Surveysphere Africa supports the design and delivery of CAPI, CATI, CAWI and carefully planned mixed-mode studies. For projects in South Sudan, including Juba and Wau, the team can help define a credible sample, localise instruments, supervise fieldwork, verify data quality and explain which populations the evidence represents. The best method is the one that reaches the intended respondents and yields defensible decisions.
Related guidance
For the continent-wide view, read our guide to CAPI, CATI and CAWI.
Our services for research in South Sudan
We run research across African markets. Start with these services for work in South Sudan:
- Outsourced fieldwork in South Sudan: CAPI, CATI and CAWI data collection with live quality control.
- Market and consumer research in South Sudan: Market-entry, consumer and retail research.
We also offer: Monitoring, evaluation and learning, Social and development research, Public health research, Policy, economic and institutional research, Data analytics and insights visualisation.
