Ipsos iSay

Survey Respondent in Vietnam


About the company

Ipsos iSay is a rewards community dedicated to ensuring your valued opinion makes a difference for societies, governments and brands. There are millions of Ipsos iSay members across more than 50 markets globally. Ipsos iSay is a part of Ipsos, one of the world’s largest market research firms.

Job description

We're hiring a Survey Respondent to share opinions on new products, ads, and experiences, directly influencing decisions across global companies. This role actively shapes product development and public policy by providing valuable feedback remotely, contributing to future innovations. Key Responsibilities: - Complete online surveys matched to your profile via the Ipsos iSay platform, ensuring your opinions directly influence brand and product development. - Evaluate new product concepts and advertisements through structured feedback, contributing insights that guide corporate marketing and innovation strategies. - Participate in exclusive research studies and specialized panels through the Ipsos global network, expanding market research scope and understanding.

Job benefits

- Earn iSay points for each completed survey, with payouts ranging from $0.45 to $2.00, redeemable for PayPal cash, Visa cards, or gift cards from $5.00. - Enjoy full flexibility with no set hours or minimum commitments, allowing participation at your convenience from anywhere with internet access. - Access exclusive research studies and specialized panels through the Ipsos network, providing unique opportunities for engagement and higher earning potential.

Job requirements

- Possess 0+ years experience in market research or survey participation, as all that is required are your honest and thoughtful opinions. - Access a smartphone, tablet, or computer with a stable internet connection, enabling seamless participation in online surveys and platform access. - Demonstrate a willingness to provide honest, thoughtful answers to survey and screening questions, ensuring high-quality and reliable data contribution.