Zamplia
Zamplia offers a global sample marketplace with built-in, pre-survey fraud prevention for faster fieldwork, lower cost, and trusted data.
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Bad data that never enters your survey can never corrupt your findings, here’s how to stop it at the source.
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Most approaches to survey quality are reactive, applied after poor data has already entered the dataset. This session challenges that assumption. When low-quality responses enter a study even briefly, they can skew distributions, inflate costs, and compromise the findings that research decisions are built on.
This session demonstrates a root-cause approach to research quality in action, examining the behavioural, technical, and response-level signals that identify and block poor-quality data before it ever affects a study.
Speaker
Sarah Ahmed
Sarah Ahmed is a research solutions specialist at Zamplia with expertise in survey operations, respondent quality, and sample ecosystems.