Ipsos iSay

Survey Respondent in Malaysia


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 provide valuable insights and opinions across various topics, directly influencing global company decisions and developments. This role creates impact by offering direct feedback, shaping future products and services, from a remote location with flexible work arrangements. Key Responsibilities: - Complete online surveys matched to your profile, providing direct feedback on products and services to influence company strategies and offerings. - Evaluate new product concepts and advertisements, contributing insights that guide market launches and refine brand experiences for consumers. - Share opinions on consumer trends and shopping behaviors, helping businesses understand market dynamics and develop more appealing solutions.

Job benefits

- Earn iSay points for every completed survey, typically $0.45-$2.00, with active members earning $75-$200+ annually, cashed out via PayPal or gift cards. - Enjoy a fully remote, flexible, self-paced work arrangement with no set hours or minimum commitments, choosing participation freely. - Access exclusive research studies and specialized panels through the Ipsos global network, offering unique opportunities to influence global decisions.

Job requirements

- 0+ years experience in providing thoughtful opinions on diverse topics; no prior experience required as your honest insights are the primary need. - Access a smartphone, tablet, or computer with internet, utilizing the Ipsos iSay mobile app or website to efficiently complete surveys anytime, anywhere. - Demonstrate willingness to provide honest, thoughtful answers to all survey and screening questions, ensuring high-quality data contribution.