Conduct test and collect data
How conduct test and collect data are reshaped as AGI capability advances.
The bottom line
About 50% of the work in Conduct test and collect data is information-shaped and increasingly AI-deliverable, with the rest a hybrid of judgment and hands-on work. The automation frontier runs straight through the middle of this role.
Why: Weighing the lens prior ('Manage enterprise quality') and the process description, as no child occupations are seeded. 'Conduct test and collect data' spans a wide range of operational contexts, from physical hands-on inspections in automotive and aerospace to purely digital data analysis in banking. This blend of physical sampling and information recording places the process squarely in the center of the hybrid band.
grounded in the economy graph · digital scalar 0.50 · hybrid
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How the work flows
Trigger: A scheduled testing interval occurs or a specific non-conformance event triggers an episodic quality check.
- Determine whether the test is periodic or episodic
- Prepare the testing environment and required equipment
- Execute the test against the target process, system, or product
- Record raw performance and operational data
- Evaluate the collected data against defined quality characteristics
- Log and distribute the test results for corrective action planning
Outcome: Performance data is successfully collected, documented, and compared against established quality standards.