Analyze project data to determine specifications or requirements.

Analyze project data to determine specifications or requirements. is a detailed work activity in O*NET — a concrete unit of work shared across 10 occupations and seen in 13 occupation-specific tasks. It rolls up into the broader work activity Evaluate designs, specifications, or other technical data. 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 13 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 13 (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 4 of these tasks, with a mean mapped-usage share of 0.017% 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.

• Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes. · Operations Research Analysts · importance 4.3 · exposure with tools
• Assess existing facilities' needs for new or modified telecommunications systems. · Telecommunications Engineering Specialists · importance 4.1 · exposure with tools
• Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. · Software Developers · importance 4.1 · direct LLM exposure
• Set specifications for materials, dimensions, and finishes. · Craft Artists · importance 4.1 · exposure with tools
• Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product. · Industrial Engineers · importance 3.8 · exposure with tools
• Analyze user needs to determine technical requirements. · Web Developers · importance 3.8 · direct LLM exposure
• Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system. · Software Developers · importance 3.6 · direct LLM exposure
• Analyze information processing or computation needs and plan and design computer systems, using techniques such as structured analysis, data modeling, and information engineering. · Computer Systems Analysts · importance 3.6 · direct LLM exposure
• Recommend changes to improve systems and network configurations, and determine hardware or software requirements related to such changes. · Network and Computer Systems Administrators · importance 3.6 · direct LLM exposure
• Gather data pertaining to customer needs, and use the information to identify, predict, interpret, and evaluate system and network requirements. · Network and Computer Systems Administrators · importance 3.2 · exposure with tools
• Obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration. · Software Developers · importance 3.1 · direct LLM exposure
• Conduct analyses to determine the maximum amount of work that can be accomplished for a given amount of energy in a system, such as industrial production systems and waste treatment systems. · Industrial Ecologists · importance 2.4 · exposure with tools
• Analyze test data to identify defects or determine calibration requirements. · Calibration Technologists and Technicians · exposure with tools

Occupations that perform this

• Operations Research Analysts
• Telecommunications Engineering Specialists
• Software Developers
• Craft Artists
• Industrial Engineers
• Web Developers
• Computer Systems Analysts
• Network and Computer Systems Administrators
• Industrial Ecologists
• Calibration Technologists and Technicians

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-project-data-to-determine-specifications-or-requirements,
  title  = {Analyze project data to determine specifications or requirements.},
  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-project-data-to-determine-specifications-or-requirements}
}