CAWI (Computer-Assisted Web Interviewing) refers to data collection through online questionnaires, using automated logic, filters and randomisation. It is a highly efficient technique for measuring awareness, satisfaction, behaviour, attitudes and segmentation, combining speed, control and consistency.
At QSP, we reinforce quality through rigorous questionnaire design, pilot testing, validation rules and coherence checks, ensuring that online data collection does not compromise methodological rigour.
WHEN TO USE
- Studies requiring larger sample sizes
- Regular measurements (tracking), brand health studies, NPS/CSAT
- A/B testing of concepts, claims, messages and communication materials
KEY BENEFITS
- Fast data collection and analysis
- Cost-efficient for large samples
- High questionnaire consistency (reduced interviewer bias)
- Allows the use of images, videos, concepts and randomization
- Validation rules and testing enhance data quality and robustness