Analyze, interpret, or disseminate system performance data.

“Analyze, interpret, or disseminate system performance data.” is a supplemental task performed by Document Management Specialists. Among the occupation's 23 rated tasks, workers place it 1st by importance (#23 most important). About 80% 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.

• Analyze data to improve operations. in Analyzing Data or 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.

• 0.066% share of AI-use records mapped to this task
• 65% of that use is work-related
• Most common interaction: learning
• Average autonomy of the AI: 3.5 (1–5; higher = more autonomous)
• 94% 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

• Assist in determining document management policies to facilitate efficient, legal, and secure access to electronic content. · importance 4.7
• Assist in the development of document or content classification taxonomies to facilitate information capture, search, and retrieval. · importance 4.3
• Implement electronic document processing, retrieval, and distribution systems in collaboration with other information technology specialists. · importance 4.2
• Identify and classify documents or other electronic content according to characteristics such as security level, function, and metadata. · importance 4.2
• Develop, document, or maintain standards, best practices, or system usage procedures. · importance 4.2
• Assist in the assessment, acquisition, or deployment of new electronic document management systems. · importance 4.2
• Administer document and system access rights and revision control to ensure security of system and integrity of master documents. · importance 4.1
• Write, review, or execute plans for testing new or established document management systems. · importance 4.0
• Prepare and record changes to official documents and confirm changes with legal and compliance management staff, including enterprise-wide records management staff. · importance 4.0
• Monitor regulatory activity to maintain compliance with records and document management laws. · importance 3.9
• Retrieve electronic assets from repository for distribution to users, collecting and returning to repository, if necessary. · importance 3.9
• Keep abreast of developments in document management technologies and techniques by reviewing current literature, talking with colleagues, participating in educational programs, attending meetings or workshops, or participating in professional organizations or conferences. · importance 3.9
• Conduct needs assessments to identify document management requirements of departments or end users. · importance 3.8
• Develop or configure document management system features, such as user interfaces, access profiles, and document workflow procedures. · importance 3.8

See all tasks on the Document Management Specialists 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-16235,
  title  = {Analyze, interpret, or disseminate system performance data.},
  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-16235}
}