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"Survey Data Quality in the Age of AI"

Get the essential playbook for protecting your survey data in the age of AI. Learn the key risks, the signals to watch for, and the steps leading insight teams are taking to ensure clean, trustworthy results.

Many view the current data quality landscape as a problem to be managed defensively--as a cost to be minimized. At aytm, we see it differently. We believe that strong signals - even unexpected or challenging ones like data quality issues - aren't anomalies to simply discard. They are vital indicators demanding our attention, our curiosity, and our exploration. Shying away from them means willfully ignoring crucial information about our methods, our respondents, and our ecosystem.

This guide is born from that philosophy. We want to explore this evolving landscape together, turning towards these signals with rigor and enthusiasm. Because deeply investigating the ‘why’ behind quality deviations doesn’t just lead to tactical fixes; it fuels fundamental understanding, sparks necessary innovation, and guides us to build stronger, more resilient systems for generating trustworthy insights. This exploration isn’t a detour—it is the work that leads to progress and more reliable discovery. 

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