Develop performance metrics or standards related to information technology.

Develop performance metrics or standards related to information technology. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 11 occupation-specific tasks. It rolls up into the broader work activity Develop technical specifications for products or operations. in Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment .

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 11 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 11 (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 0.033% 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.

• Develop, document, or maintain standards, best practices, or system usage procedures. · Document Management Specialists · importance 4.2 · direct LLM exposure
• Identify appropriate Key Performance Indicators (KPIs) and report key metrics from digital campaigns. · Search Marketing Strategists · importance 4.2 · exposure with tools
• Develop or specify standards, methods, or procedures to determine product quality or release readiness. · Software Quality Assurance Analysts and Testers · importance 4.1 · direct LLM exposure
• Create and enforce database development standards. · Database Architects · importance 4.0 · direct LLM exposure
• Develop information security standards and best practices. · Information Security Engineers · importance 3.9 · direct LLM exposure
• Develop Web site performance metrics. · Web Administrators · importance 3.7 · direct LLM exposure
• Establish functional or system standards to address operational requirements, quality requirements, and design constraints. · Computer Systems Engineers/Architects · importance 3.6 · direct LLM exposure
• Select methods, techniques, or criteria for data warehousing evaluative procedures. · Data Warehousing Specialists · importance 3.6 · direct LLM exposure
• Determine system performance standards. · Software Developers · importance 3.5 · direct LLM exposure
• Develop standards and guidelines for the use and acquisition of software and to protect vulnerable information. · Database Administrators · importance 3.4 · direct LLM exposure
• Develop performance standards, and evaluate work in light of established standards. · Computer and Information Research Scientists · importance 3.1 · direct LLM exposure

Occupations that perform this

• Search Marketing Strategists
• Document Management Specialists
• Software Quality Assurance Analysts and Testers
• Database Architects
• Software Developers
• Database Administrators
• Computer and Information Research Scientists

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-develop-performance-metrics-or-standards-related-to-information-technology,
  title  = {Develop performance metrics or standards related to information technology.},
  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/develop-performance-metrics-or-standards-related-to-information-technology}
}