Analyze jobs using observation, survey, or interview techniques.

Analyze jobs using observation, survey, or interview techniques. is a detailed work activity in O*NET — a concrete unit of work shared across 3 occupations and seen in 7 occupation-specific tasks. It rolls up into the broader work activity Analyze data to improve operations. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 5 (71%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 1 of these tasks, with a mean mapped-usage share of 0.002% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used. · Management Analysts · importance 4.1 · no direct exposure
• Evaluate job positions, determining classification, exempt or non-exempt status, and salary. · Compensation, Benefits, and Job Analysis Specialists · importance 3.9 · exposure with tools
• Prepare occupational classifications, job descriptions, and salary scales. · Compensation, Benefits, and Job Analysis Specialists · importance 3.9 · exposure with tools
• Interview key staff or tour facilities to identify efficiency-improvement, cost-reduction, or service-delivery opportunities. · Logistics Engineers · importance 3.8 · exposure with tools
• Assess need for and develop job analysis instruments and materials. · Compensation, Benefits, and Job Analysis Specialists · importance 3.2 · exposure with tools
• Observe, interview, and survey employees and conduct focus group meetings to collect job, organizational, and occupational information. · Compensation, Benefits, and Job Analysis Specialists · importance 3.1 · no direct exposure
• Research job and worker requirements, structural and functional relationships among jobs and occupations, and occupational trends. · Compensation, Benefits, and Job Analysis Specialists · importance 2.9 · exposure with tools

Occupations that perform this

• Management Analysts
• Compensation, Benefits, and Job Analysis Specialists
• Logistics Engineers

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-analyze-jobs-using-observation-survey-or-interview-techniques,
  title  = {Analyze jobs using observation, survey, or interview techniques.},
  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/detailed-activities/analyze-jobs-using-observation-survey-or-interview-techniques}
}