Survey Researchers

Many of a survey researcher’s daily tasks involve data work, and computers are already helping with them. For example, industry experts note that today’s tools “save researchers…from tedious tasks” like cleaning data and making charts ^[1]. Software can auto-generate tables and graphs from survey results, and even draft text summaries of findings.

In fact, a recent study reported that roles like data analysts (similar to survey researchers) are “already using” generative AI to streamline routine analysis ^[2]. These AI tools automate heavy data crunching and basic reporting, so researchers can spend more time on insights. However, many parts of the job still depend on humans.

Tasks such as deciding what questions to ask, interpreting unclear responses, or leading a team require judgment and experience. Experts emphasize that humans are still needed to “frame business problems” and to “validate AI-produced findings” ^{[1] [2]}. In other words, AI helps with the mechanical data work, but researchers still guide the process and check results.

Today U.S. data on occupations agrees: survey research is only about 35% automated overall ^[3], meaning most of the work still relies on human skill and oversight.

There are good reasons AI tools are being used in survey research, but also reasons it might take time. On the plus side, AI and smart software are commercially available for many tasks. Companies can buy analytics programs or use online services that speed up charting and data analysis.

This can save time and money – one expert noted that AI can help investigators get results “faster and cheaper” ^[1]. In fact, a survey of market researchers found that 93% see AI as an opportunity rather than a threat ^[1], and most expect it will make their work better and faster. This positive attitude could speed adoption.