Analyze data from surveys, old records, or case studies, using statistical software.

“Analyze data from surveys, old records, or case studies, using statistical software.” is a core task performed by Survey Researchers. Among the occupation's 16 rated tasks, workers place it 3rd by importance (#14 most important). About 100% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Research historical or social issues. in Getting Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.11% share of AI-use records mapped to this task
• 41% of that use is work-related
• Most common interaction: directive
• Average autonomy of the AI: 3.2 (1–5; higher = more autonomous)
• 85% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

Other tasks in this occupation

• Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, literature reviews, and file reviews. · importance 4.8
• Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results. · importance 4.5
• Consult with clients to identify survey needs and specific requirements, such as special samples. · importance 4.5
• Determine and specify details of survey projects, including sources of information, procedures to be used, and the design of survey instruments and materials. · importance 4.5
• Support, plan, and coordinate operations for single or multiple surveys. · importance 4.5
• Monitor and evaluate survey progress and performance, using sample disposition reports and response rate calculations. · importance 4.4
• Collaborate with other researchers in the planning, implementation, and evaluation of surveys. · importance 4.3
• Conduct research to gather information about survey topics. · importance 4.2
• Direct and review the work of staff members, including survey support staff and interviewers who gather survey data. · importance 4.2
• Direct updates and changes in survey implementation and methods. · importance 4.2
• Produce documentation of the questionnaire development process, data collection methods, sampling designs, and decisions related to sample statistical weighting. · importance 4.2
• Write proposals to win new projects. · importance 4.0
• Review, classify, and record survey data in preparation for computer analysis. · importance 3.9
• Write training manuals to be used by survey interviewers. · importance 3.4

See all tasks on the Survey Researchers page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-7547,
  title  = {Analyze data from surveys, old records, or case studies, using statistical software.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-7547}
}