Surveys are a broadly used research and data collection tool used by researchers, governments, companies, and many others to gather information from a sample population of individuals to answer a specific question or set of questions. While surveys can have vastly different properties depending on their objectives and target response group, a measure of success shared across nearly all surveys is their response rate – or what percentage of the target group contributed to the survey.
Low response rates leave surveys vulnerable to participation bias, rendering them unreliable. Without understanding the levers that impact survey response rates, the party conducting the survey will not understand how to best engage with the target group and will have trouble getting the desired results.
While not all survey campaigns demand a tool as sophisticated as AI, understanding your target group will enable you to deliver a better, more engaging experience. AI helps you identify leads that will respond to your survey. Similar to a marketing campaign or a sales process, surveys that can identify the engagement levers for their target audience tend to generate better results. Human behavior, especially at the individual level, can be hard to predict with the naked eye. Machine learning enables you to isolate the key engagement levers of your survey campaign to optimize your response rate.
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