Why the right survey method depends on the target population
Before a research agency starts fieldwork in Guinea, it should decide whether the target population can be reached reliably in person, over the telephone or online. CAPI, CATI and CAWI each provide strengths and distortions. The conditions in Conakry, known in this study context as a coastal capital concentrated on a peninsula, may differ from those in Kankan, an upper-Guinea commercial centre. Designing two city-specific recruitment plans can expose those differences while preserving one consistent research framework.
Design begins with the sample frame. Identify whether eligible respondents can be drawn from mapped dwellings, administrative registers, client records, phone-number frames or authenticated online databases. Each option creates a different set of coverage and nonresponse risks. Research managers should specify the claims they intend to make: city-level description, programme participant feedback or population-representative estimates. The mode must help meet those claims. Changing the interview channel does not rescue a weak frame, and a huge convenience sample remains a convenience sample.
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
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 Guinea
A location frame in Guinea should use the relevant geographic structures, such as regions, prefectures and sub-prefectures, 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
Sampling is not a technical appendix: it determines whether a result means anything outside the completed interviews. For CAPI, check area lists, selected dwellings or facilities and within-household respondent rules. For CATI, inspect how numbers were obtained and whether shared phones or invalid records change eligibility. For CAWI, document recruitment invitations, verification and self-selection. Allocate samples according to the inference required, not an identical quota copied from another project. A comparison of two selected cities remains a two-city result unless a broader probability frame is deliberately added.
Applying CAPI, CATI and CAWI in Conakry
In Conakry, the local research environment includes a coastal capital concentrated on a peninsula. 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 Kankan
In Kankan, the team should independently assess who can be recruited and how, taking account of its character as an upper-Guinea commercial centre. 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 Conakry proves weak here, an adapted design may be justified, but preserve core indicator definitions. Note that two selected centres do not represent Guinea 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 French, Susu, Maninka and Pular, 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 road travel and language preferences affect supervisor allocation. 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
Field quality is strongest when it is monitored daily rather than reconstructed after the target has been met. CAPI dashboards may show interview locations and durations, but anomalies need supervisor investigation. CATI supervision can compare contact rates and call outcomes between interviewers. CAWI requires fraud screening and inspection of device or response patterns within privacy limits. A quality flag is a reason to examine a case, not automatic proof of fabrication. Document the decision, resulting exclusions and any replacement interviews so final totals are auditable.
Treat consent and privacy as part of research design
The research plan should minimise data collection that respondents do not expect or need. A tablet may record coordinates, a calling system may log phone numbers, and an online survey may expose device metadata. None of this should be captured reflexively. State the purpose of necessary verification, restrict who can access identifiers and separate contact details from analytical responses whenever possible. Train interviewers to recognise distress and refusal. Digital efficiency is useful only when it protects participants as well as research quality.
Analyse mode effects and report coverage limits
Results should be interpreted against the intended sample rather than against the size of the dataset. A two-city online survey of professionally connected adults cannot describe households lacking internet. An area-based CAPI sample may support more general claims for its defined areas if selection and response are properly handled. A CATI sample drawn from an NGO register speaks primarily about those on that register. Show denominators, disaggregation limits and uncertainty honestly. Methodological transparency is part of the insight delivered to decision-makers.
An illustrative survey decision for Guinea
Imagine a research organisation assessing Guinea 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 Conakry and Kankan, set different logistics assumptions while applying the same rules for respondent eligibility and data quality.
A method-selection decision for Guinea 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 Conakry and Kankan 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 Guinea, including Conakry and Kankan, 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 Guinea
We run research across African markets. Start with these services for work in Guinea:
- Outsourced fieldwork in Guinea: CAPI, CATI and CAWI data collection with live quality control.
- Market and consumer research in Guinea: 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.
