Why the right survey method depends on the target population
Choosing CAPI, CATI or CAWI in Burundi requires more than comparing the price per interview. The core issue is whether each mode reaches the people whose experiences matter, allows them to understand the questions and protects their privacy. Research in Bujumbura and Gitega can reveal different recruitment conditions because one represents a lakeside commercial city with a substantial service economy and the other an administrative centre with a different respondent mix. A method that succeeds with urban customers may fail for households with limited contact information.
A survey mode is a methodological choice, not a competition among devices. Research teams should map the intended population, expected contact information, survey complexity, preferred language and location constraints before buying fieldwork. For every population subgroup, ask whether a tablet-based visit, a telephone call or an online questionnaire offers a credible invitation to participate. The final proposal should identify who each method would systematically miss. Mode selection is defensible when those exclusions are visible before the sample is drawn.
CAPI: when in-person digital interviewing is strongest
The main reason to choose CAPI is not that a tablet looks modern. It is the ability to reach respondents through a controlled in-person frame and, when required, confirm the environment being studied. This suits household enumeration, retailer observation and service-delivery verification. Offline forms, skips and immediate validation improve operations when properly configured. But dense city zones, remote settlements or difficult access can make completion expensive. Teams must document nonresponse and replacements so face-to-face convenience does not silently override the original sampling plan.
CATI: when interviewer-led telephone surveys fit
A telephone survey can be effective when the target group can be contacted lawfully and predictably, but it should never begin with an unchecked list. Clean contact records, verify respondent eligibility and define the appropriate time for calling. Provide a concise purpose statement and respect refusal. Telephone questionnaires generally need shorter sentences and smaller answer lists than face-to-face forms. The reporting should separate dialled numbers, answered calls, screened contacts, eligible contacts and completed interviews. Without that disposition history, high completion totals can conceal selection bias.
CAWI: when self-completed online surveys are credible
Computer-Assisted Web Interviewing, or CAWI, sends eligible respondents to a self-completed online questionnaire. It is effective for digitally reachable users, company staff, verified consumer panels and some professional or student populations. It can lower fieldwork cost and present consistent visual stimuli, but the recruitment source determines the meaning of the results. An open social-media link cannot support a national probability claim. Protect the survey from repeated submissions, fraudulent profiles, inattentive completion and poor mobile display. Accessible wording and a short pilot are essential because no interviewer is present to clarify confusion.
Use the administrative research geography of Burundi
A location frame in Burundi should use the relevant geographic structures, such as provinces and communes, 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.
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 Bujumbura
In Bujumbura, the local research environment includes a lakeside commercial city with a substantial service economy. 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 Gitega
In Gitega, the team should independently assess who can be recruited and how, taking account of its character as an administrative centre with a different respondent mix. 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 Bujumbura proves weak here, an adapted design may be justified, but preserve core indicator definitions. Note that two selected centres do not represent Burundi as a whole; a claim about the entire country would require a wider sampling strategy.
Adapt questionnaire design for each survey mode
A single questionnaire copied unchanged into three systems is rarely good design. CAPI can support observations and visual exercises; CATI depends on spoken clarity and manageable call length; CAWI requires self-explanatory layouts and light pages. The team should maintain an indicator master and then create mode-specific presentation versions under change control. Pilot difficult recall questions, response scales and translated terms with the intended audience. In the final dataset, retain a mode variable so analysts can test whether responses differ systematically by collection channel.
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 Kirundi, French, English and Swahili where relevant, 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 Kirundi wording and rural-to-urban movement need consideration. 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
Technology can reduce data-entry mistakes yet leave substantial research error. CAPI interviews may be genuine but sampled conveniently. CATI respondents may be valid but systematically drawn from numbers that answer quickly. CAWI participants may be real people with duplicate links or low attention. Establish mode-specific checks for authenticity, eligibility, consent and completeness. Use supervised observations, callbacks or other permitted verification where appropriate. Report both achieved sample size and data-quality limitations; a clean-looking spreadsheet alone is not a quality certificate.
Treat consent and privacy as part of research design
Privacy safeguards need to be built into the interview workflow. Use the least identifying information sufficient for sampling and follow-up, limit recording and location permissions, and encrypt or otherwise protect transfer and storage appropriately. Provide versions of consent notices respondents can actually understand. Phone calls and household visits may not be private in crowded settings, while self-completed web forms may be viewed on shared devices. Sensitive questions may require different placement, modes or referral procedures. The method should reduce harm, not merely maximise completes.
Analyse mode effects and report coverage limits
Once data arrive, keep mode and recruitment information in the dataset. Examine completion patterns, item nonresponse and demographic composition separately for CAPI, CATI and CAWI. A mode difference may reflect sample composition, question presentation or both. Do not treat every difference as a finding about respondent attitudes. Use weights only where their derivation is credible and explain any residual coverage gaps. A transparent report tells readers how each group was reached, what estimates represent and where interpretation should remain cautious.
An illustrative survey decision for Burundi
Imagine a research organisation assessing Burundi 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 Bujumbura and Gitega, set different logistics assumptions while applying the same rules for respondent eligibility and data quality.
A method-selection decision for Burundi 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 Bujumbura and Gitega 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 Burundi, including Bujumbura and Gitega, 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 Burundi
We run research across African markets. Start with these services for work in Burundi:
- Outsourced fieldwork in Burundi: CAPI, CATI and CAWI data collection with live quality control.
- Market and consumer research in Burundi: 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.
