Interpret design or operational test results.
Detailed work activity
Interpret design or operational test results. is a detailed work activity in O*NET — a concrete unit of work shared across 6 occupations and seen in 7 occupation-specific tasks. It rolls up into the broader work activity Analyze performance of systems or equipment. 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 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 7 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
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.
- Interpret or evaluate test results in accordance with applicable codes, standards, specifications, or procedures. · Non-Destructive Testing Specialists · importance 4.8 · exposure with tools
- Interpret the results of all methods of non-destructive testing (NDT), such as acoustic emission, electromagnetic, leak, liquid penetrant, magnetic particle, neutron radiographic, radiographic, thermal or infrared, ultrasonic, vibration analysis, and visual testing. · Non-Destructive Testing Specialists · importance 4.8 · exposure with tools
- Record and interpret test data on parts, assemblies, and mechanisms. · Aerospace Engineering and Operations Technologists and Technicians · importance 4.4 · exposure with tools
- Process or interpret signals or sensor data. · Robotics Engineers · importance 4.0 · exposure with tools
- Interpret test information to resolve design-related problems. · Electrical and Electronic Engineering Technologists and Technicians · importance 3.8 · direct LLM exposure
- Evaluate findings to develop, design, or test equipment or processes. · Petroleum Engineers · importance 3.5 · exposure with tools
- Evaluate vulnerability assessments of local computing environments, networks, infrastructures, or enclave boundaries. · Penetration Testers · direct LLM exposure
Occupations that perform this
- Non-Destructive Testing Specialists
- Aerospace Engineering and Operations Technologists and Technicians
- Robotics Engineers
- Electrical and Electronic Engineering Technologists and Technicians
- Petroleum Engineers
- Penetration Testers
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
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Interpret design or operational test results.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/interpret-design-or-operational-test-results
Singulariki. (2026). Interpret design or operational test results.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/interpret-design-or-operational-test-results
@misc{singulariki-interpret-design-or-operational-test-results,
title = {Interpret design or operational test results.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/detailed-activities/interpret-design-or-operational-test-results}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.