Google has updated its Surveys 360 platform with new artificial intelligence features to improve how it selects survey participants. The goal is to get responses that better reflect the views of the whole population. This update uses AI to find people who match specific demographic and behavioral profiles more accurately.
(Google’s Surveys 360 Uses AI for Representative Sampling.)
The system now looks at past response patterns and user data to choose participants who are most likely to give useful answers. It also adjusts in real time to fix any gaps in the sample group. This helps reduce bias and makes results more reliable for businesses and researchers.
Before this change, surveys often missed certain groups because they relied on older sampling methods. Those methods could not quickly adapt to changes in who was responding. With AI, Google can balance the sample as the survey runs. That means if too few young adults answer early on, the system will invite more of them later.
Companies using Surveys 360 include market research firms, media outlets, and brand teams. They depend on fast and accurate data to guide decisions. Google says the new AI tools cut down the time needed to collect a representative sample. They also lower costs by avoiding repeated outreach to unresponsive groups.
The update is part of Google’s broader effort to bring AI into its data and measurement products. It builds on existing privacy safeguards. All data used for sampling stays anonymous and follows Google’s data policies. Users do not need to change how they set up surveys. The AI works behind the scenes to handle the sampling process.
(Google’s Surveys 360 Uses AI for Representative Sampling.)
Early tests show the new system improves representation across age, location, and online behavior. Google plans to add more AI features to Surveys 360 in the coming months. These will focus on making insights easier to understand and act on.