Track, compile, and analyze Web site usage data.

“Track, compile, and analyze Web site usage data.” is a core task performed by Web Administrators. Among the occupation's 35 rated tasks, workers place it 23rd by importance (#13 most important). About 100% 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 market or industry conditions. 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.

• 0.004% share of AI-use records mapped to this task
• 29% of that use is work-related
• Most common interaction: directive
• Average autonomy of the AI: 3.1 (1–5; higher = more autonomous)
• 90% 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

• Monitor systems for intrusions or denial of service attacks, and report security breaches to appropriate personnel. · importance 4.8
• Identify or document backup or recovery plans. · importance 4.6
• Back up or modify applications and related data to provide for disaster recovery. · importance 4.6
• Identify, standardize, and communicate levels of access and security. · importance 4.5
• Correct testing-identified problems, or recommend actions for their resolution. · importance 4.5
• Determine sources of Web page or server problems, and take action to correct such problems. · importance 4.3
• Implement updates, upgrades, and patches in a timely manner to limit loss of service. · importance 4.3
• Implement Web site security measures, such as firewalls or message encryption. · importance 4.2
• Collaborate with development teams to discuss, analyze, or resolve usability issues. · importance 4.2
• Test issues such as system integration, performance, and system security on a regular schedule or after any major program modifications. · importance 4.1
• Perform user testing or usage analyses to determine Web sites' effectiveness or usability. · importance 4.1
• Document application and Web site changes or change procedures. · importance 4.0
• Test backup or recovery plans regularly and resolve any problems. · importance 3.9
• Recommend Web site improvements, and develop budgets to support recommendations. · importance 3.9

See all tasks on the Web Administrators 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-14749,
  title  = {Track, compile, and analyze Web site usage 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-14749}
}