CAPI — Globinex Research

Accurate Face-to-face insights, powered by Digital Technology.

When your research requires high respondent engagement and reliable field data, our Computer-Assisted Personal Interviewing (CAPI) services deliver the confidence you need. Globinex Research combines experienced field interviewers, digital data collection tools, and rigorous quality control to execute face-to-face studies with speed, precision, and consistency across local and international markets.

Digital Field Interviews

Nationwide Field Coverage

GPS & Geo-Location Validation

Real-Time Data Sync

Higher Response Accuracy

Interview Quality Monitoring

Why CAPI

Built for confidence and quality.

CAPI combines the expertise of trained field interviewers with the efficiency of digital data collection. The result is faster execution, higher data accuracy, and authentic consumer insights from audiences that online research often can't reach.

Reach Every Audience

Connect with respondents across urban, rural, and hard-to-reach locations, ensuring representative insights from every target market.

Capture Richer Insights

Face-to-face interviews encourage meaningful conversations, capturing deeper feedback while reducing response misunderstandings.

Improve Data Confidence

Built-in validations and interviewer guidance improve response accuracy, delivering reliable datasets ready for informed decision-making.

Ideal for Complex Research

Ideal for consumer, healthcare, retail, government, and product research where personal interaction enhances data quality.

Frequently Asked Questions

01.What is CAPI in market research?

02.When should CAPI be used?

03.What are the advantages of CAPI over paper surveys?

04.Is CAPI suitable for international or multi-country research?

05.How does CAPI ensure data quality and accuracy?

01.

What is CAPI in market research?

Computer-Assisted Personal Interviewing (CAPI) is a face-to-face data collection method where trained interviewers use tablets or mobile devices to record survey responses digitally. It improves data accuracy, reduces manual errors, and speeds up research.