Identify, analyze, and document problems with program function, output, online screen, or content.
Work task
“Identify, analyze, and document problems with program function, output, online screen, or content.” is a core task performed by Software Quality Assurance Analysts and Testers. Among the occupation's 30 rated tasks, workers place it 30th by importance (#1 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.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task 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 1.00. Automation potential label: T2.
Other tasks in this occupation
- Document software defects, using a bug tracking system, and report defects to software developers. · importance 4.7
- Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability. · importance 4.5
- Design test plans, scenarios, scripts, or procedures. · importance 4.3
- Document test procedures to ensure replicability and compliance with standards. · importance 4.3
- Provide feedback and recommendations to developers on software usability and functionality. · importance 4.3
- Install, maintain, or use software testing programs. · importance 4.3
- Test system modifications to prepare for implementation. · importance 4.2
- Create or maintain databases of known test defects. · importance 4.2
- Monitor bug resolution efforts and track successes. · importance 4.1
- Develop or specify standards, methods, or procedures to determine product quality or release readiness. · importance 4.1
- Update automated test scripts to ensure currency. · importance 4.1
- Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential problems. · importance 4.0
- Plan test schedules or strategies in accordance with project scope or delivery dates. · importance 4.0
- Monitor program performance to ensure efficient and problem-free operations. · importance 4.0
See all tasks on the Software Quality Assurance Analysts and Testers 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
- “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. "Identify, analyze, and document problems with program function, output, online screen, or content.." 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/tasks/task-14642
Singulariki. (2026). Identify, analyze, and document problems with program function, output, online screen, or content.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-14642
@misc{singulariki-task-14642,
title = {Identify, analyze, and document problems with program function, output, online screen, or content.},
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/tasks/task-14642}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.