In today’s fast-moving research environment, data is only valuable when it is accurate, timely, and usable. Many teams still lose time and quality in the fieldwork stage due to manual processes, inconsistent execution, and delayed checks.
That is where CAPI (Computer-Assisted Personal Interviewing) helps. CAPI modernizes interviewer-led surveys by capturing responses directly on a digital device, enabling stronger controls, faster turnaround, and better visibility into field progress.
What is CAPI?
CAPI is an interviewer-administered survey method where responses are entered directly into a tablet, smartphone, or laptop during the interview. Compared with paper-based surveys (PAPI), CAPI reduces manual errors, improves standardization, and makes monitoring easier.
It is especially useful when you need:
In-person interviews for better response quality
Longer or more complex questionnaires
Multi-language surveys
Fieldwork in low-connectivity regions (with offline capture and later syncing)
How the CAPI process works
Questionnaire design and programming: Surveys are programmed with:
Skip logic (routing)
Validations and range checks
Mandatory fields (where appropriate)
Multi-language versions
Version control to prevent field teams from using outdated questionnaires
This improves consistency and reduces avoidable data-entry mistakes.
Field data collection (online or offline): Interviewers conduct surveys on approved devices. The system is designed for offline/online survey interviewing depending on field conditions, meaning interviews can be completed offline in low-connectivity areas, with data stored securely on the device and synced when connectivity is available.
This approach supports reliable field execution across both urban and rural environments while minimizing downtime and operational risk.
Monitoring and quality control: When connectivity allows, teams can monitor fieldwork near real time, including:
Completion rates and quotas
Interview durations
GPS capture (where permitted)
Flags for inconsistent or suspicious patterns
Cleaning and delivery: CAPI outputs are easier to standardize and prepare for analysis. The final delivery typically includes clean datasets and documentation (questionnaire, codebook, assumptions/logic notes).
While CAPI reduces transcription errors, final QC review is still required, especially for open-ends and outliers.
CAPI vs other digital survey methods
CAPI is often confused with other “digital surveys,” so here is a simple comparison:
CAPI: Interviewer-led, in-person or assisted mode, responses entered on device
CATI: Interviewer-led over phone
CAWI: Self-completion online/web surveys
PAPI: Paper-based interviews with later manual data entry
CAPI is not “internet research.” It is a digital approach to field interviews.
In practice, CAPI sits within broader digital data collection services, alongside CATI and CAWI, with the key difference being interviewer-led execution in the field.
What are the main advantages of using CAPI services?
How CAPI is used across industries
Many different types of businesses use CAPI, including:
Market & Social Research Firms: CAPI is well-suited for consumer surveys, brand tracking, U&A studies, and complex questionnaires requiring strong routing and validation.
Healthcare & Life Sciences Organizations: Interviewer-led digital surveys can support patient journeys, HCP perspectives, and facility assessments, while supporting consent, privacy, and data-handling requirements.
Government & Policy Research Agencies: Offline-first interviewing and secure syncing help include rural and low-infrastructure populations in household and social surveys.
When CAPI may not be the best choice
CAPI is powerful, but it is not the best fit for every research question.
Consider alternatives or mixed-mode methods when:
You need low-cost, high-frequency tracking (CAWI may be faster and cheaper)
Topics are highly sensitive and privacy is difficult in face-to-face settings
The population is widely dispersed, and phone/web coverage is stronger (CATI/CAWI may be more efficient)
When anonymity is critical and interviewer presence may bias responses (CAWI may be preferable).
The best projects choose the method based on the audience, sensitivity, budget, timeline, and data quality requirements.
UnivDatos: The CAPI Service Provider You Can Count On
At UnivDatos, we provide end-to-end CAPI services designed for reliable field execution and clean outputs:
Questionnaire programming (logic, validations, multilingual setup)
Trained interviewer networks (online/offline capability)
Field monitoring and quality control frameworks
Clean datasets and documentation ready for analysis
If you want faster fieldwork, stronger quality checks, and outputs your team can trust, we can help design a CAPI approach that fits your geography, audience, and research goals.
Tell us what you are exploring, and we will propose a practical research plan and timeline.
Get connected with us today to learn how to turn your data into decisions and your decisions into success!