Computer Assisted Personal Interviewing (CAPI) refers to in-person quantitative data collection in which a survey is completed via tablet or laptop by an interviewer. This eliminates paperbased methods and uses electronic devices, which are more accurate, efficient, and validate data in real-time .

In a CAPI scenario the interviewer meets the respondent in person and uses the device to guide a standardized set of questions. Data entry is also done directly into the system, which avoids errors and allows storage and transfer without delay. This is advantageous especially in off the grid locations where connectivity is difficult, since data can be later uploaded when there is connection.

CAPI is particularly useful for complicated surveys that need visual aids, audio clips or other multimedia components to help comprehension. This has made the data popular for use in household surveys, health studies, and public policy. Human interaction aids in clarifying a question when respondents do not understand it and minimizes ambiguities that can lead to better data quality.

Flexibility is another strength of CAPI. Skip patterns and branching logic help provide a more pleasant experience for respondents by providing only questions that are relevant. Digital self-trackers are also easier for researchers to track and monitor in real-time.

Although CAPI also presents challenges, particularly in high costs due to travel and devices required, many times the benefits overcome these challenges in data reliability and depth. This is particularly useful when it presents specific and truthful responses that are needed from a specific population.

For high-quality, on-the-ground quantitative research, CAPI is a preferred approach since it finds a mix between personal interaction and technological efficiency.