Yasna Unveils Screening Feature for Enhanced Respondent Experience and Data Quality Assurance

Yasna has introduced a new screening feature, enabling researchers to pre-screen respondents simply by providing audience criteria. Yasna, the AI-powered moderator, then automatically generates a step-by-step screener, ensuring respondent quality before proceeding with the main interview.

This feature supports research conducted through various sources, including online panels, CRM systems, websites, and mobile apps. By automating screening, Yasna streamlines the experience for both researchers and respondents, eliminating the time-consuming process of creating and programming a separate screening questionnaire, and reducing dropout rates commonly seen in traditional sequential setups.

Amid concerns about data quality in today’s market, Yasna offers a new level of assurance by handling essential pre-interview steps seamlessly. Researchers worry about disengaged respondents, survey bots, and respondent fatigue impacting data quality. Yasna addresses these challenges by conducting screenings through open-ended questions without hints or cues, which minimizes inauthentic responses and enhances the quality of insights.

Respondents who are screened out receive a personalized farewell message, where researchers may include a promo code, bonus, or other message to maintain a positive experience.

The quality assurance process doesn’t end with the screening stage. Yasna continues to evaluate each response throughout the interview, ensuring responses are comprehensive and relevant to the questions, which ultimately strengthens research outcomes.