Analyze data to identify or resolve operational problems.

Analyze data to identify or resolve operational problems. is a detailed work activity in O*NET — a concrete unit of work shared across 12 occupations and seen in 15 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 15 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 15 (100%) 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 9 of these tasks, with a mean mapped-usage share of 0.099% 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.

• Identify, analyze, and document problems with program function, output, online screen, or content. · Software Quality Assurance Analysts and Testers · importance 4.7 · direct LLM exposure
• Define regional or local transportation planning problems or priorities. · Transportation Planners · importance 4.3 · exposure with tools
• Analyze information obtained from management to conceptualize and define operational problems. · Operations Research Analysts · importance 4.3 · exposure with tools
• Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. · Clinical Data Managers · importance 4.3 · exposure with tools
• Identify protocol problems, inform investigators of problems, or assist in problem resolution efforts, such as protocol revisions. · Clinical Research Coordinators · importance 4.3 · exposure with tools
• Analyze problems to develop solutions involving computer hardware and software. · Computer and Information Research Scientists · importance 4.2 · direct LLM exposure
• Analyze network data to determine network usage, disk space availability, or server function. · Computer Network Support Specialists · importance 3.9 · exposure with tools
• Monitor and analyze network performance and reports on data input or output to detect problems, identify inefficient use of computer resources, or perform capacity planning. · Computer Network Architects · importance 3.9 · exposure with tools
• Gather, analyze, or document user feedback to locate or resolve sources of problems. · Web Administrators · importance 3.9 · exposure with tools
• Analyze equipment performance records to determine the need for repair or replacement. · Network and Computer Systems Administrators · importance 3.6 · direct LLM exposure
• Check and analyze operating system or application log files regularly to verify proper system performance. · Web Administrators · importance 3.6 · direct LLM exposure
• Review and analyze computer printouts and performance indicators to locate code problems, and correct errors by correcting codes. · Computer Systems Analysts · importance 3.6 · direct LLM exposure
• Recommend adjudication of product complaints. · Regulatory Affairs Specialists · importance 3.2 · exposure with tools
• Analyze, interpret, or disseminate system performance data. · Document Management Specialists · importance 2.8 · exposure with tools
• Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. · Data Scientists · exposure with tools

Occupations that perform this

• Software Quality Assurance Analysts and Testers
• Transportation Planners
• Operations Research Analysts
• Clinical Data Managers
• Clinical Research Coordinators
• Computer and Information Research Scientists
• Computer Network Support Specialists
• Computer Network Architects
• Web Administrators
• Network and Computer Systems Administrators
• Computer Systems Analysts
• Regulatory Affairs Specialists

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-data-to-identify-or-resolve-operational-problems,
  title  = {Analyze data to identify or resolve operational problems.},
  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-data-to-identify-or-resolve-operational-problems}
}