We subscribe to the research codes, practices and recommendations of the leading research organisations.
ESOMAR is a not-for-profit organisation that promotes the value of market, opinion and social research and data analytics. They have been providing ethical and professional guidance and advocating on behalf of our global membership community for over 70 years.
EFAMRO represents the interests of market, social and opinion research in Europe. Their objective is to develop and establish international quality standards for market, opinion and social research.
MRS is the world's leading research association where data, insight and evidence matters. They champion the highest ethical, commercial and methodological practices in research. They provide fair regulation, clear guidance and practical advice. They help research flourish.
We control every aspect of the research process to ensure data quality is protected, and we deliver results that clients can trust. We achieve this by offering complete transparency on how our platform works
We go one-step further than the global research standard of Double-Opt-In. We enforce both email and mobile phone verification upon registration to minimise fraudulent accounts.
We leverage machine learning to track every response that comes through our platform, flagging any responses that are of insufficient quality, or simply given too fast. This allows us to ensure that every response captured is of the highest quality.
Our quality assurance process involves providing extra rewards to the best responses, and punishing those who don’t engage in high quality feedback through a ‘three-strike’ rule for removing poor respondents from our panel. This allows us to generate a ‘user quality score’ to monitor respondents across our panel.
We maintain up-to-date targeting information on all respondents through a system of dynamic targeting, posing uniquely selected questions to given respondents on a weekly basis. This removes the need for recurring screening questions which frustrate respondents and are prone to fraud.
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